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Chair of Information Systems for the Service Industry

The Chair of Information Systems for the Service Industry at Saarland University focuses on the development and management of data-driven services as well as the use of artificial intelligence methods in areas such as industrial manufacturing, healthcare, wellness, and sports, among others. Under the leadership of Prof. Dr.-Ing. Wolfgang Maaß, the chair investigates how the application of experimental design methods in combination with distributed data analytic approaches leads to adaptive service designs and innovative business solutions. In cooperation with leading research and industry partners, this research is conducted in both fundamental and applied research projects. The research results are applied and validated in industrial projects of the Smart Service Engineering (SSE) research department at the German Research Center for Artificial Intelligence (DFKI).

Partner

News

Announcement of the Talk by Dr. Shuo-Yan Chou on “Technology-enabled Data-driven Sustainable Smart Services”

We are delighted to invite you to an exciting talk titled “Technology-enabled Data-driven Sustainable Smart Services”. Our guest speaker is Dr. Shuo-Yan Chou, a renowned expert in the field of industrial management and Director of the Center for Internet of Things Innovation at the National Taiwan University of Science and Technology.

When and Where?

Date: February 13, 2024

Time: 14:00

Location: DFKI Vis Room (SB, NB -1.63)

Language: English

QUASIM: Talk at Bitkom Quantum Summit, 20.-21.09.2023

On September 20, Prof. Wolfgang Maaß gave a talk on the research project QUASIM at the Bitkom Quantum Summit 2023. You can watch the talk, giving insights on the project and its current progress here on Youtube. For more information on QUASIM activities see at our Instagram account or on the QUASIM website.  

More news

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RESEARCH

Team

Professor and chair holder

Univ.-Prof. Dr.-Ing. Wolfgang Maaß

Professor and chair holder

Univ.-Prof. Dr.-Ing. Wolfgang Maaß

Wolfgang Maaß is professor in Business Informatics at Saarland University, scientific director at Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI), and adjunct professor Stony Brook University Health Sciences Center School of Medicine, NY.

Fore more details, click here

Senior Researcher

Dr.-Ing. Sabine Janzen

Research Assistant

Hannah Stein

Research Assistant

Natalie Gdanitz

Research Assistant

Maxx Richard Rahman

Research Assistant

Dusan Dokic

Research Assistant

Lotfy Abdel Khaliq

Student Assistant

Pascal Ahiagble

Research Assistant

Anna-Maria Hickmann

Student Assistant

Prajvi Saxena

Student Assistent

Ahsan Mirza

Student Assistant

Justin Leininger

Student Assistant

Benedikt Haida

Student Assistant

Vaibhav Jain

Research Assistant

Ankit Agrawal

Research Assistant

Cicy Agnes

Student Assistant

Maheen Saleh

Secretary

Annette Krames

Student Assistant

Grace Djouka

Patrick julian Reck

Mohammed Taha Wahab

Ho Hsua

Senior Researcher

Dr.-Ing. Sabine Janzen

Field of Research:

Service & AI Engineering

Intelligent user interfaces, esp. communication in conflict situations / crisis

Responsible AI

Research Assistant

Hannah Stein

Field of Research:

Data Valuation and Monetization

Data Quality in Companies and Data Ecosystems

Data Ecosystem Design

Research Assistant

Natalie Gdanitz

Research Assistant

Maxx Richard Rahman

Field of Research:

AI in Sports

Generative Models

ML in Doping Science

Quantum Machine Learning

Smart Dreaming with AI

Research Assistant

Dusan Dokic

Research Assistant

Lotfy Abdel Khaliq

Student Assistant

Pascal Ahiagble

Research Assistant

Anna-Maria Hickmann

Student Assistant

Prajvi Saxena

Student Assistent

Ahsan Mirza

Student Assistant

Justin Leininger

Student Assistant

Benedikt Haida

Student Assistant

Vaibhav Jain

Field of Research:

ESCADE project
Image Analysis/Classification

Research Assistant

Ankit Agrawal

Field of research:

QUASIM project

Research Assistant

Cicy Agnes

Student Assistant

Maheen Saleh

Secretary

Annette Krames

Student Assistant

Grace Djouka

Field of Research:

QUASIM Project

Patrick julian Reck

Mohammed Taha Wahab

Ho Hsua

PUBLICATIONS

Sandoval, L., Jafri, S., Balasubramanian, J. B., Bhawsar, P., Edelson, J. L., Martins, Y., Maass, W., Chanock, S. J., Garcia-Closas, M., & Almeida, J. S. (2023)

PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data. Bioinformatics Advances, 3(1), vbad145.

Janzen, S., Saxena, P., Baer, S., Maass, W. (2024).

”Listening In”: Social Signal Detection for Crisis Prediction. In: HICSS 57/24. Hawaii International Conference on System Sciences (HICSS-2024), January 3-6, Honolulu, Hawaii, USA, HICSS, 2024.

Gdanitz, N., Janzen, S., Stein, H., Harig, A., Maass, W. (2023).

ADA: Automatic Data Annotation for Data Ecosystems. In: Irini Fundulaki; Kouji Kozaki; Jose Manuel Gomez-Perez; Daniel Garijo (Hrsg.). Proceedings of the ISWC 2023 Posters, Demos and Industry Tracks. International Semantic Web Conference (ISWC-2023), located at 22nd International Semantic Web Conference, November 6-10, Athens, Greece, Springer, 2023.

2024

  • Xu, S., Wilhelm-Mauch, F., Maass, W. (2024). Quantum Feature Embeddings for Graph Neural Networks. In: HICSS 57/24. Hawaii International Conference on System Sciences (HICSS-2024), January 3-6, Honolulu, Hawaii, USA, HICSS, 2024.
  • Janzen, S., Saxena, P., Baer, S., Maass, W. (2024). ”Listening In”: Social Signal Detection for Crisis Prediction. In: HICSS 57/24. Hawaii International Conference on System Sciences (HICSS-2024), January 3-6, Honolulu, Hawaii, USA, HICSS, 2024.
  • Stein, H., Schröder, S., Kienast, P., Kulig, M. (2024). Towards Requirements Engineering for Quantum Computing Applications in Manufacturing. In: HICSS 57/24. Hawaii International Conference on System Sciences (HICSS-2024), January 3-6, Honolulu, Hawaii, USA, HICSS, 2024.
  • Stein, H., Janzen, S., Haida, B., Maass, W. (2024). Digital Resilience in Flux: A Comparative Analysis in Manufacturing Pre- and
    Post-Crisis. In: HICSS 57/24. Hawaii International Conference on System Sciences (HICSS-2024), January 3-6, Honolulu, Hawaii, USA, HICSS, 2024.
  • Dokic, D., Groen in’t Woud, F., Maass, W. (2024). Towards Sustainability of AI: A Systematic Review of Exisiting Life Cycle Assessment Approaches and Key Environmental Impact Parameters of Artificial Intelligence. In: HICSS 57/24. Hawaii International Conference on System Sciences (HICSS-2024), January 3-6, Honolulu, Hawaii, USA, HICSS, 2024.

2023

  • Sandoval, L., Jafri, S., Balasubramanian, J. B., Bhawsar, P., Edelson, J. L., Martins, Y., Maass, W., Chanock, S. J., Garcia-Closas, M., & Almeida, J. S. (2023). PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data. Bioinformatics Advances, 3(1), vbad145.
  • Gdanitz, N., Janzen, S., Stein, H., Harig, A., Maas, W. (2023). ADA: Automatic Data Annotation for Data Ecosystems. In: Irini Fundulaki; Kouji Kozaki; Jose Manuel Gomez-Perez; Daniel Garijo (Hrsg.). Proceedings of the ISWC 2023 Posters, Demos and Industry Tracks. International Semantic Web Conference (ISWC-2023), located at 22nd International Semantic Web Conference, November 6-10, Athens, Greece, Springer, 2023.
  • Janzen, S., Harig, A., Gdanitz, N., Stein, H., Öksüz-Köster, N., Maass, W. (2023). Decoding Resilience: A Graph-based Approach for Organizational Resilience Assessment. Conference Proceedings of International Conference on Conceptual Modeling (ER 2023), CEUR-WS.org, 11/2023. pdf
  • Agrawal, A., Stein, H., Xu, S., Janzen, S., Maass, W. (2023). QUASIM: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing. Conference Proceedings of International Conference on Conceptual Modeling (ER 2023), Project Exhibitions, CEUR-WS.org, 11/2023.
  • Ruhi, Z. M., Stein, H., & Maass, W. (2023). A Proposal for Physics-Informed Quantum Graph Neural Networks for Simulating Laser Cutting Processes. INFORMATIK 2023. Gesellschaft für Informatik, Bonn. {KI-basiertes} Management und Optimierung komplexer Systeme (MOC). Berlin. 26.-30. September 2023.
  • Dokic, D., Stein, H., Janzen, S., Maass, W. (2023). Towards Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers. INFORMATIK 2023. Gesellschaft für Informatik, Bonn. Umweltinformatik zwischen Nachhaltigkeit und Wandel (UINW). Berlin. 26.-30. September 2023.
  • Maass, W., Agnes, C.K., Rahman, M.R.,  Almeida, J.S. (2023). SNOOP Method: Faithfulness of Text Summarizations for Single Nucleotide Polymorphisms. 2nd Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics at the Association for the Advancement of Artificial Intelligence (AAAI) Summer Symposium 2023, Singapore. pdf
  • Rahman, M.R., Hussain, M., Piper, T., Geyer, H., Equey, T., Baume, N., Aikin, R., Maass, W., (2023). Modelling Metabolism Pathways using Graph Representation Learning for Fraud Detection in Sports. In Proceedings of IEEE International Conference on Digital Health, (ICDH 23), July 2-8, Chicago, Illinois, USA, 2023.
  • Maass, W., Castellanos, A., Tremblay, M., Lukyanenko, R., Storey, V. C., Almeida, J. S.(2023). Conceptual Alignment Method. In Proceedings of the Twenty-ninth Americas Conference on Information Systems. Americas Conference on Information Systems (AMCIS 2023) Panama, 2023. pdf
  • Janzen, S., Baer, S., Ahiagble, A.P., Maass, W. (2023). Tackling Non-Transparency-Identification of hidden problems in component-based supply chains. In Proceedings of 20th International Conference on Information Systems for Crisis Response and Management (ISCRAM). International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 28-31, Omaha, Nebraska, USA, ISCRAM digital library. pdf
  • Leachu, S., Janßen, J., Gdanitz, N., Kirchhöfer, M., Janzen, S., Stich, V. (2023). Cascading Scenario Technique Enabling Automated And Situationbased Crisis Management In Proceedings of the Conference on Production Systems and Logistics. Conference on Production Systems and Logistics (CPSL-2023), February 28 – March 3, Santiago De Querétaro, Mexico, Publish.Ing, 2023. pdf
  • Gdanitz, N., Abdel Khaliq, L., Ahiagble, A.P., Janzen, S., Maass, W. (2023). POWOP: Weather-based Power Outage Prediction. In: IntelliSys 2023. Intelligent Systems Conference, September 7-8, Amsterdam, Netherlands. SAI IntelliSys 2023. pdf
  • Stein, H., Maass, W., (2023). Monetary Valuation of Data in the Context of Accounting. Daniel Trauth; Thomas Bergs; Wolfgang Prinz. The Monetization of Technical Data: Innovations from Industry and Research. Pages 103-116, ISBN 978-3-662-66509-1, Springer Berlin Heidelberg, Berlin, Heidelberg, 2023.
  • Janzen, S., Gdanitz, N., Khaliq, L., Munir, T., Franzius, C., Maass, W. (2023). Anticipating Energy-driven Crises in Process Industry by AI-based Scenario Planning. In: HICSS 56/23. Hawaii International Conference on System Sciences (HICSS-2023), January 3-6, Maui, Hawaii, USA, HICSS, 2023. pdf
  • Stein, H., Reich, R. H., Visinescu, L. (2023). Valuation of Personal Data in the Age of Data Ownership (Paper-a-thon). In: International Conference on Information Systems (ICIS) 2022. International Conference on Information Systems (ICIS-2022), December 9-14, Copenhagen, Denmark, 12/2022. pdf

2022

  • Janzen, S., Stein, H., Öksüz-Köster, N., Maass, W. (2022). AI meets Design Science – Towards Design Methods for AI Systems Development. In: International Conference on Information Systems (ICIS) 2022 TREOs. International Conference on Information Systems (ICIS-2022), December 9-14, Copenhagen, Denmark, 12/2022. pdf
  • Ameli, M., Becker, P.A, Lankers, K., van Ackeren, M., Bähring, H., Maass, W. (2022). Explainable Unsupervised Multi-Sensor Industrial Anomaly Detection and Categorization. In: International Conference on Machine Learning and Applications (ICMLA-2022), ICMLA December 12-14, Paradise Island, The Bahamas IEEE 12/2022. pdf
  • Dokic, D., Stein, H. (2022). Towards A Data Quality Index for Data Valuation In the Data Economy. Annual Conference of the Society for Computer Science (INFORMATIK), Computer science in the Natural Sciences. September 2022, Hamburg, Germany. P-326 ISBN 978-3-88579-720-3 Gesellschaft für Informatik, Bonn 9/2022. pdf
  • Ahiagble, A.P., Stein, H., (2022). Approaches for Automated Data Quality Analysis: Syntactic and Semantic Assessment. Annual conference of the Society for Computer Science (INFORMATIK-2022). September 26-30 Hamburg, Germany. ISBN 978-3-88579-720-3 Society for Computer Science Bonn 9/2022. pdf
  • Harig, A., Janzen, S., Maass, W. (2022). MANGQ: Towards Natural Language Interfaces for Knowledge Graphs. In: 32nd Workshop on Information Technologies and Systems. Workshop on Information Technology and Systems (WITS-2022). Kopenhagen Denmark WITS 12/2022. pdf
  • Stein, H., Groen in’t Woud, F., Holuch, M., Mulryan, D., Froese, T., Holst, L.,. (2022). Bewertung von Unternehmensdatenbeständen: Wege zur Wertermittlung des wertvollsten immateriellen Vermögensgegenstandes; Mareike Rohde; Johannes Mock; Matthias Bürger; Kristina Peneva. In: Wie aus Daten Wert entsteht: Band 1: Datenwirtschaft und Datentechnologie. Springer, 2022. pdf
  • Öksüz-Köster, N., (2022). A Stress-Based Smart Retail Service in Shopping Environments: An Adoption Study. In: Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz (Hrsg.). In Proceedings NeuroIS Retreat 2022. NeuroIS Retreat, June 14-16, Vienna, Austria, P.170-177, Springer, 2022. pdf
  • Ameli, M., Pfanschilling, V., Amirli, A., Maass, W., Kersting, K. (2022). Unsupervised Multi-Sensor Anomaly Localization with Explainable AI. In: IFIP Artificial Intelligence Applications and Innovations In Proceedings of AIAI 2022. International Conference on Artificial Intelligence Applications and Innovations (AIAI-2022). June 17-20, Crete, Greece, 646 ISBN 978-3-031-08332-7, Springer 2022. pdf
  • Stein, H., Rix, C., Effertz, A., Bergau, S. & Maass, W. (2022). Data Sharing in German Food Industry – Empirical Insights.
    In Proceedings of the Americas Conference on Information Systems (AMCIS). pdf
  • Rahman, M.R., Piper, T., Geyer, H., Equey, T., Baume, N., Aikin, R., Maass, W. (2022). “Data Analytics for Uncovering Fraudulent Behaviour in Elite Sports.” 43rd International Conference on Information Systems (ICIS 22), Copenhagen, Denmark. pdf
  • Rahman, M.R., Bejder, J., Bonne, T. C., Andersen, A. B., Huertas, J.R., Aikin, R., Nordsborg, N. B., Maass, W. (2022). “Detection of
    Erythropoietin in Blood to Uncover Doping in Sports using Machine Learning,” In Proceedings of the IEEE International Conference on Digital Health (ICDH), pp. 193-201. pdf
  • Rahman, M.R., Bejder, J., Bonne, T.C., Andersen, A.B., Huertas, J.R., Aikin, R., Nordsborg, N.B., & Maass, W. (2022). “AI-based
    Approach for Improving the Detection of Blood Doping in Sports.” arXiv:2203.00001. pdf
  • Storey, V., Lukyanenko, R., Maass, W., Parsons, J. (2022). Explainable AI: Opening the Black Box or Pandora’s Box?. Communications of the ACM (CACM). pdf
  • Maass, W. (2022). Contract-based Data-sharing for AI-based Decision Making on the Web. 55th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2022), January 4-7, Hawaii, Hawaii, United States. Springer. pdf
  • Stein, H., & Maass, W. (2022). Requirements for Data Valuation Methods. 55th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2022), January 4-7, Hawaii, Hawaii, United States. Springer. pdf
  • Maass, W., Castellanos, A., Tremblay, M. C., Lukyanenko, R., & Storey, V. C. (2022). ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI. In AAAI Spring Symposium: MAKE (pp. 1-6). pdf
  • Lukyanenko, R., Maass, W., & Storey, V. C. (2022). Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities. Electronic Markets, 1-28. pdf
  • Storey, V. C., Lukyanenko, R., Maass, W., & Parsons, J. (2022). Explainable AI. Communications of the ACM, 65(4), 27-29.
  • Chua, C., Indulska, M., Lukyanenko, R., Maass, W., & Storey, V. C. (2022). MISQ Research Curation on Data Management. MIS quarterly, 1-12. pdf
  • Wolf, M., Landgraeber, S., Maass, W., & Orth, P. (2022). Impact of Covid-19 on the global orthopaedic research output. Frontiers in Surgery, 9. pdf
  • Maass, Wolfgang; Castellanos, Arturo; Tremblay, Monica; Lukyanenko, Roman; and Storey, Veda C. (2022), “AI Explainability: Embedding Conceptual Models” (2022). ICIS 2022 Proceedings. 12. pdf

2021

  • Maass, W., Storey, V. C., & Lukyanenko, R. (2021). From Mental Models to Machine Learning Models via Conceptual Models. In Enterprise, Business-Process and Information Systems Modeling (bll 293–300). Cham: Springer International Publishing. pdf
  • Maass, W., & Storey, V. (2021). Pairing conceptual modeling with machine learning. Data & Knowledge Engineering134, 101909. pdf
  • Stein, H., Holst, L., Stich, V., & Maass, W. (2021). From Qualitative to Quantitative Data Valuation in Manufacturing Companies. In A. Dolgui, A. Bernard, D. Lemoine, G. von Cieminski, & D. Romero (Reds), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (bll 172–180). Cham: Springer International Publishing. pdf
  • Rix, C., Stein, H., Chen, Q., Frank, J., & Maass, W. (2021). Conceptualizing Data Ecosystems for Industrial Food Production. 23rd IEEE International Conference on Business Informatics. IEEE Conference on Business Informatics (CBI-2021), Leading the Digital Transformation, September 1-3, Bolzano/Virtual, Italy. Springer. pdf
  • Janzen, S., Öksüz, N., Sporkmann, J., Schlappa, M., Gerhard, J., Ortjohann, L., & Becker, P. (2021). Smart Resilience Services for Industrial Production. 22. VDI-Kongress AUTOMATION 2021 – Navigating towards resilient production. VDI Automatisierungskongress (AUTOMATION-2021), June 29-30, Virtual, Germany. VDI. pdf
  • Öksüz, N., Bouschery, S., Schlappa, M., Unterberg, M., & Sporkmann, J. (2021). Towards an Artificial Intelligence based Approach for Manufacturing Resilience. 22. VDI-Kongress AUTOMATION 2021 – Navigating towards resilient production. VDI Automatisierungskongress (AUTOMATION-2021), June 29-30, Virtual, Germany. VDI.
  • Stein, H., & Maass, W. (2021). Monetäre Bewertung von Daten im Kontext der Rechnungslegung – Ansätze zur Datenbilanzierung. In D. Trauth, T. Bergs, & W. Prinz (Reds), Monetarisierung von technischen Daten (bll 115–130). Springer. pdf

2020

  • Öksüz, N., & Maass, W (2020). A Situation-Specific Smart Retail Service Based On Vital Signs, In Proceedings of the 41th International Conference on Information Systems (ICIS), 2020.   video
  • Öksüz, N. and Maass, W (2020). Data-Driven System for Treatment of Obese Children in Rural Areas, MobileHCI ’20 Workshop: Learning from mHealth Success Stories: Effective Interventions for Marginalised Populations, 2020.
  • Kaufmann, T. ;Sahay, S.; Niemietz, P. ; Trauth, D.; Maass, W. & Bergs, T (2020). AI-based Framework for Deep Learning Applications in Grinding, In Proceedings of the IEEE 18th World Symposium on Applied Machine Intelligence and Informatics(SAMI), 2020.

2019

  • Zaidi, M.A., & Colomo-Palacios, R (2019). Code smells enabled by artificial intelligence: A Systematic Mapping, In Proceedings of 19th International Conference on Computational Science and its Applications; Lecture Notes in Computer Science, Volume 11619, pp. 318-427 2019
  • Xu, S.; Bauer, J.; Axmann, B. & Maass, W (2019). CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing, POSTER presentation at ISVC’20, 2019
  • Langer, M., Schmid Mast, M., Meyer, B., Maass, W., & König, C (2019). J Research in the era of sensing technologies and wearables, NY: Cambridge University Press, pp. 806-835 2019
  • Bhat, P.S , Shcherbatyi, I., Maass, W (2019). Automated Learning of User Preferences for Selection of High Quality 3D Designs, 29th CIRP Design Conference, Procedia CIRP 84, pp. 814-819. 2019
  • Maass, W. & Janzen, S (2019). Echtzeit-Optimierung in der landwirtschaftlichen Produktion, 20. VDI-Kongress AUTOMATION – Autonomous Systems and 5G in Connected Industries, 2019.
  • Pyrtek, M.; Xu, S. & Maass, W (2019). TUCANA: A platform for using local processing power of edge devices for building data-driven services, 14. Internationale Tagung Wirtschaftsinformatik (WI), 2019.
  • Dumpala, V.; Kurupathi, S.R.; Bukhari, S.S. & Dengel A (2019). Removal of Historical Document Degradations Using Conditional GANs , International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019), 2019.
2018
  • Maass, W., Parsons, J., Purao, S., Storey, V.C., Woo, C. Data-Driven Meets Theory-Driven Research in the Era of Big Data: Opportunities and Challenges for Information Systems Research, Journal of the Association for Information Systems (JAIS), 2018.
  • Öksüz, N., Shcherbatyi, I., Kowatsch, T., Maass, W. A Data-analytical System to Predict Therapy Success for Obese Children, In Proceedings of the 39th International Conference on Information Systems (ICIS), 2018.
  • Maass, W., Michels, T. Innovationsmanagement in Start-ups, Innovationsmanagement in Start-ups, 2018.
  • Maass, W. Smarte Farmen: Wenn künstliche Intelligenz bei Saat und Ernte hilft – Echtzeitsteuerung in der Landwirtschaft durch datengetriebene Dienste und Datenanalytik, IM+io – Best & Next Practices aus Digitalisierung, Management und Wissenschaft, 2018, 33(3), pp. 36-41.
  • Shcherbatyi, I. & Maass, W. Joint Input and Predictive Model Parameters Selection for Financial Forecasting, European Conference on Data Analysis (ECDA), 2018.
  • Maass, W. & Shcherbatyi, I. Inductive Discovery By Machine Learning for Identification of Structural Models, The 37th International Conference on Conceptual Modeling (ER), 2018.
  • Janzen, S.; Bleymehl, R.; Alam, A.; Xu, S. & Stein, H. inSIDE Fair Dialogues: Assessing and Maintaining Fairness in Human-Computer-Interaction, Demo In Proceedings of Conference “Mensch und Computer 2018” (MuC2018), 2018.
  • Maass, W., Pier, M. & Moser, B. Meyer, K., Klinger, S., Zinke, C. (Hrsg.) Smart Services in der Landwirtschaft. Die Digitalisierung der Kartoffel als Fallbeispiel für Smart Services in der Landwirtschaft, Service Engineering , Springer Fachmedien Wiesbaden, 2018, pp. 167-181.
  • Brocke, J., Maass, W., Buxmann, P., Maedche, A., Leimeister, J. M. & Pecht, G. Future Work and Enterprise Systems, Business & Information Systems Engineering, 2018.

2017

  • Alim, M. A.; Baig, M. M.; Mehboob, S. & Naseem, I. Method for secure electronic voting system: face recognition based approach, Second International Workshop on Pattern Recognition, 2017.
  • Maass, W. & Pier, M. Heiße Kartoffel – Echtzeitanalyse während des Ernteprozesses , atp plus, 2017, 04, pp. 62 – 65.
  • Maass, W., Parsons, J., Purao, S., Rosales, A., Storey, V.C. & Woo, C.C. Schintler, L.A. & McNeely, C.L. (Hrsg.) Big Data and Theory, Encyclopedia of Big Data, Springer, 2017, pp. 1-5.
  • Maass, W., Shcherbatyi, I. & Marquardt, S. Real-time Decision Making with Smart Farming Services, Proc. of 75th International Conference on Agricultural Engineering (AgEng), 2017.
  • Öksüz, N., Biswas, R., Shcherbatyi, I., Maass, W. Davis, F., Riedl, R., vom Brocke, J., Léger, P. M., Randolph, N. (Hrsg.) Measuring Biosignals of Overweight and Obese Children for Real-time Feedback and Predicting Performance, Information Systems and Neuroscience – Gmunden Retreat on NeuroIS 2017, Springer, 2017.
  • Maass, W. & Shcherbatyi, I. Data-Driven, Statistical Learning Method for Inductive Confirmation of Structural Models, Hawaii International Conference on System Sciences (HICSS), 2017.

2016

  • Kowatsch, T., Pletikosa Cvijikj, I., Brogle, B., Dintheer, A., Wiegand, D., Durrer, D., Maass, W. & Büchter, D. Childhood obesity therapy: who benefits from an information technology (IT) supported treatment?, Hormone Research in Paediatrics, 2016.
  • Öksüz, N. Erfassung und Analyse von kundenindividuellen Bio-Signalen in Handelsumgebungen, 2016.
  • Shcherbatyi, I., Andres, B. In: Bodo Rosenhahn & Bjoern Andres (Hrsg.) Convexification of Learning from Constraints, Lecture Notes in Computer Science, 2016, 9796, pp. 79-90.
  • Dorka, S.; Stein, H.; Janzen, S.; Maass, W. Cross-border Health Care – The key to a sustainable health care coverage in border regions?, European Public Health Conference 2016, 2016.
  • Janzen, S. Mixed Motive Dialogues in Equilibrium: Kooperative Planung von Antworten in Dialogen mit kongruenten und inkongruenten Teilnehmermotiven, PhD thesis, Computer Science department, Saarland University, 2016.
  • Janzen, S., Maass, W. & Kowatsch, T. Finding the Middle Ground – A Model for Planning Satisficing Answers, In Proceedings of 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), 2016.
  • Janzen, S. & Maass, W. Balancing Dialogues with Mixed Motives, Computational Pragmatics Workshop at 2016 Annual Conference of the German Linguistic Society, 2016, 38.

2015

  • Kowatsch, T., Büchter, D., Pletikosa Cvijikj, I., Xu, R., Brogle, B., Dintheer, A., Wiegand, D., l’Allemand, D., Maass, W.Design and Preliminary Evaluation of a Mobile Application for Obesity Experts and Children Teams, Obesity Reviews , 16 (S1): Poster Abstracts from the 7th Fribourg Obesity Research Conference (FORC-2015) – Pathways from dieting to weight regain, to obesity and to the metabolic syndrome, p. 96., 2015.
  • l’Allemand, D., Kowatsch, T., Pletikosa Cvijikj, I., Brogle, B., Dintheer, A., Wiegand, D., Durrer, D., Maass, W., Büchter, D. Childhood obesity therapy: who benefits from an information technology (IT) supported treatment?, Abstract presented at the 54th Annual Meeting of the European Society of Paediatric Endocrinology, to be published in Hormone Research in Paediatrics , 2015.
  • Durrer, D., Kowatsch, T., l’Allemand, D., Büchter, D., Pletikosa Cvijikj, I., Maass, W., Schutz, Y. Ambulatory Health Information System for Obesity Prevention and Treatment (Pathmate) Tailored for Teenagers: A Preliminary Longitudinal Study (Abstract & Poster), 22nd European Congress on Obesity, Prague, Czech Republic., 2015, 8.
  • Büchter, D., Kowatsch, T., Brogle, B., Dintheer, A., Wiegand, D., Pletikosa Cvijikj, I., Durrer, D., Schutz, Y., Maass, W., Laimbacher, J., l’Allemand, D. Does a Health Information Technology System developed by Children and their Parents improve Obesity Therapy?, 22nd European Congress on Obesity, Prague, Czech Republic., 2015.
  • Maass, W. & Storey, V. Logical Design Patterns for Information System Development Problems, 34th International Conference on Conceptual Modeling (ER 2015), Stockholm, Sweden, 2015, pp. 134-147.
  • Janzen, S. & Maass, W. Towards Benevolent Sales Assistants in Retailing Scenarios, Proc. of 20th Int. Conf. on Applications of Natural Language to Information Systems (NLDB), 2015, pp. 180-193.
  • Maass, W. & Michels, T. Moving Populations Event Recognition Under Re-Identification and Data Locality Constraints, 12. internationalen Tagung für Wirtschaftsinformatik (WI 2015), Osnabrück, Germany, 2015, pp. 121-133.

2014

  • Maass, W. & Storey, V. Recall of Concepts and Relationships Learned by Conceptual Models: The Impact of Narratives, General-Purpose, and Pattern-based Conceptual Grammars, 33rd International Conference on Conceptual Modeling (ER 2014), Atlanta, GA, USA, 2014, pp. 377-384.
  • Büchter, D., Kowatsch, T., Brogle, B., Dintheer-ter-Velde, A., Wiegand, D., Pletikosa, I., Maass, W., L`Allemand, D., Laimbacher, J. Home support of obese children and adolescents by means of health information technology system: a pilot study for a psychosomatic therapy concept, Swiss Medical Weekly (forthcoming), 2014, 144.
  • Büchter, D., Kowatsch, T., Pletikosa, I., Schütz, Y., L`Allemand, D., Maass, W. & Laimbacher, J. A longitudinal study assessing an IT-supported neurological feedback in obesity intervention for children and adolescent emotional self control, fPmh2014 – 3rd annual congress foederatio Paedo medicorum helveticorum – Schweizerische Gesellschaft für Pädiatrie, 2014.
  • Pletikosa Cvijikj, I., Kowatsch, T., Büchter, D., Brogle, B., Dintheer, A., Wiegand, D., Durrer, D., Xu, R., l’Allemand, D., Schutz, Y. & Maass, W. Health Information System for Obesity Prevention and Treatment of Children and Adolescents, European Conference on Information Systems (ECIS) 2014, Tel Aviv, Israel, 2014.
  • Kowatsch, T., Maass, W., Pletikosa Cvijikj, I., Büchter, D., Brogle, B., Dintheer, A., Wiegand, D., Durrer, D., Schutz, Y. & l’Allemand, D. Design of a Health Information System Enhancing the Performance of Obesity Expert and Children Teams, European Conference on Information Systems (ECIS) 2014, Tel Aviv, Israel, 2014.
  • Krüger, A., Maass, W., Paradowski, D. & Janzen, S. In: Reinartz, W. & Käuferle, M. (Hrsg.) Empfehlungssysteme und integrierte Informationsdienste zur Steigerung der Wertschöpfung im stationären Handel, Wertschöpfung im Handel, 2014, pp. 273-291.
  • Aruväli, T., Maass, W., Otto, T. Digital Object Memory Based Monitoring Solutions in Manufacturing Processes, 24th DAAAM International Symposium on Intelligent Manufacturing and Automation, 2014 , pp. 449-458.

2013

  • Almeida, J.; Dress, A.; Kühne, T.; Parida, L. ICT Strategies for Bridging Biology and Precision Medicine (Dagstuhl Perspectives Workshop 13342), Dagstuhl Reports, 2013, 3(8), pp. 87–135.
  • Maass, W. & Zahran, S. Self-Controlled Production: Forecasting with Smart Sensor Technologies, 23rd Workshop on Information Technology and Systems (WITS), Milan, Italy, 2013.
  • Janzen, S. Mixed Intention Sets in Dialogue Planning, 43. Jahrestagung der Gesellschaft für Informatik e.V. (GI) (Informatik 2013), Koblenz, Germany, Bonner-Köllen Verlag , 2013.
  • Kowatsch, T. & Maass, W. Towards Empirically Validated Ubiquitous Information Systems: Results From A Pretest And Three Empirical Studies, 21st European Conference on Information Systems (ECIS 2013), Utrecht, The Netherlands, 2013.

2012

  • Maass, W. & Varshney, U. Design and Evaluation of Ubiquitous Information Systems and Use in Healthcare, Decision Support Systems, 2012(1), pp. 597–609.
  • Almeida, J. S., Gruneberg, A., Maass, W., Vinga, S. Fractal MapReduce decomposition of sequence alignment, Algorithms for Molecular Biology, 2012, 7(12).
  • Purao, S., Storey, V., Maass, W., Jansen, J., Reddy, M.An Integrated Conceptual Model to Incorporate Information Tasks in Workflow Models , ER International Conference on Conceptual Modeling (ER 2012), Florence, Italy, 2012.
  • Eichhoff, J. R. & Maass, W. Functional Design Space Representations for Lead Qualification Situations, Fifth International Conference on Design Computing And Cognition, 2012.
  • Maass, W., Kowatsch, T., Janzen, S., Filler, A. Applying Situation-Service Fit to Physical Environments Enhanced by Ubiquitous Information Systems, 20th European Conf. on Information Systems (ECIS 2012), Barcelona, Spain, 2012.
  • Maass, W. & Janzen, S. Towards Design Engineering of Ubiquitous Information Systems, 7th Int. Conf. on Design Science Research in Information Systems and Technology (DESRIST 2012), Las Vegas, USA, 2012.

2011

  • Eichhoff, J. R. & Maass, W. Distributed Imprecise Design Knowledge on the Semantic Web, 7th Int. Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), 2011, pp. 101-104.
  • Janzen, S., Blomqvist, E., Filler, A., Gönül, S., Kowatsch, T., Adamou, A., Germesin, S., Romanelli, M., Presutti, V., Cimen, C., Maass, W., Postaci, S., Alpay, E., Namli, T., Erturkmen, G. B. L. IKS Deliverable – D4.1 Report: AmI Case – Design and Implementation (Public), 2011.
  • Deus, H. F., Correa, M. C., Stanislaus, R., Miragaia, M., Maass, W., de Lencastre, H., Fox, R., Almeida, J. S. S3QL: A distributed domain specific language for controlled semantic integration of life sciences data, BMC Bioinformatics , 2011, 12(285).
  • Maass, W., Storey, V. C., Kowatsch, T. Effects of External Conceptual Models and Verbal Explanations On Shared Understanding in Small Groups, Conceptual Modeling, ER 2011, Lecture Notes in Computer Science, Springer, 2011, 6998, pp. 92-103.
  • Eichhoff, J. R. & Maass, W. Representation and Reuse of Design Knowledge: An Application for Sales Call Support, 15th Int. Conf. on Knowledge-Based and Intelligent Inf. & Eng. Systems (KES2011), Kaiserslautern, 2011, pp. 387–396.
  • Janzen, S., Filler, A., Maass, W. Designing Ubiquitous Information Systems based on Conceptual Models, Workshop “Sozio-technisches Systemdesign im Zeitalter des Ubiquitous Computing (SUBICO 2011)” at Informatik 2011, Berlin, 2011.
  • Maass, W., Kowatsch, T., Janzen, S., Varshney, U. A Natural Language Technology-enhanced Mobile Sales Assistant for In-store Shopping Situations, 19th European Conf. on Information Systems (ECIS 2011), 2011.
  • Maass, W. & Janzen, S. Pattern-Based Approach for Designing with Diagrammatic and Propositional Conceptual Models, 6th Int. Conf. on Design Science Research in Information Systems and Technology (DESRIST 2011), Milwaukee, Wisconsin, USA, 2011.
  • Kowatsch, T. & Maass, W. A Design Model for Knowledge-based Pricing Services in the Retail Industry, Int. Journal of Web Engineering and Technology, 2011, 6(4), pp. 302-319.
  • Kowatsch, T. & Maass, W. In: E. Pantano and H. Timmermans eds. (Hrsg.) Mobile Purchase Decision Support Systems for In-store Shopping Environments, Advanced Technologies Management for Retailing: Frameworks and Cases, IGI Global Publisher, 2011, pp. 270-288.
  • Kowatsch, T., Maass, W. & Fleisch, E. The Role of Product Reviews on Mobile Devices for In-store Purchases: Consumers’ Usage Intentions, Costs and Store Preferences, Int. Journal of Internet Marketing and Advertising (IJIM&A) Special Issue: Information Systems and Marketing, 2011, 6(3), pp. 226-243.

2010

  • Janzen, S.; Maass, W.; Kowatsch, T.; Filler, A.; Romanelli, M.; Germesin, S.; Becker, T.; Laleci, G. B.; Kilic, O.; Ocalan, C.; Alpay, E.; Dogac, A. IKS Deliverable – D2.1 Report: AmI Case Requirements Specification (Restricted), 2010.
  • Maass, W. In: Selke, S. & Dittler, U. (Hrsg.) Hyperwelt: Massive Vernetzung der Informationssphäre mit der realen Welt, Postmediale Wirklichkeiten aus interdiszipliniärer Perspektive, Heise, 2010, pp. 49-59.
  • Janzen, S., Kowatsch, T., Maass, W. & Filler, A. Linkage of Heterogeneous Knowledge Resources within In-store Dialogue Interaction, 9th International Semantic Web Conference (ISWC 2010), Shanghai, China, 2010.
  • Almeida, J., Deus, H. & Maass, W. S3DB core: a framework for RDF generation and management in bioinformatics infrastructures, BMC Bioinformatics, 2010, 11(387).
  • Maass, W. & Filler, A. Supporting Cooking Tasks by a Smart Formulation Table, 6th International Conference on Intelligent Environments (IE’10), Kuala Lumpur, Malaysia, 2010.
  • Maass, W., Filler, A., Janzen, S. & Kowatsch, T. Towards a Transition to Tangible Commerce: Design and Evaluation of Conversational Product Interfaces, 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST), Dubai, United Arab Emirates, 2010.
  • Janzen, S., Kowatsch, T. & Maass, W. A Methodology for Content-Centered Design of Ambient Environments, DESRIST 2010: Global Perspectives on Design Science Research, St. Gallen, Switzerland, 2010, pp. 210-225.
  • Kowatsch, T. & Maass, W. In-store Consumer Behavior: How Mobile Recommendation Agents Influence Usage Intentions, Product Purchases, and Store Preferences, Computers in Human Behavior, 2010, 26(4), pp. 697-704.
  • Kowatsch, T. & Maass, W. Online vs. In-Store Shopping: How Problem Solving Strategies of Decision Support Systems Influence Confidence in Purchase Decisions, 18th European Conference on Information Systems (ECIS2010), Pretoria, South Africa , 2010.

2009

  • Maass, W. & Varshney, W. A Framework for Smart Healthcare Situations and Smart Drugs, SIG-Health Pre-AMCIS Workshop at the 15th Americas Conference on Information Systems (AMCIS 2009). San Francisco, USA, 2009.
  • Kowatsch, T., Maass, W. & Fleisch, E. The Use of Free and Paid Digital Product Reviews on Mobile Devices in In-Store Purchase Situations, 4th Mediterranean Conference on Information Systems (MCIS 09), Athens, Greece, 2009, pp. 114-124.
  • Maass, W. Handel von Information und Wissen über digitale Netze, Gabler Verlag, 2009.
  • Maass, W. & Janzen, S. A Pattern-based Ontology Building Method for Ambient Environments, Workshop on Ontology Patterns – WOP2009 at the 8th International Semantic Web Conference (ISWC 2009), Washington, DC, 2009.
  • Maass, W. & Kowatsch, T. Let’s Get Married: Adoption of Interactive Product Information For Bundle Purchases By Tangible User Interfaces, 4th Mediterranean Conference on Information Systems (MCIS 09), Athens, Greece, 2009.
  • Janzen, S. & Maass, W. Ontology-based Natural Language Processing for In-store Shopping Situations, Third IEEE International Conference on Semantic Computing (ICSC 2009), Berkeley, California, USA, 2009.
  • Kowatsch, T. & Maass, W In:Vincenzo D’Andrea, G.R. Gangadharan, Renato Iannella, Michael Weiss. (Hrsg.) Towards a Framework for Knowledge-based Pricing Services Improving Operational Agility in the Retail Industry, 2nd International Workshop on Enabling Service Business Ecosystems (ESBE’09), co-located with the Mediterranean Conference on Information Systems, 2009, 530.
  • Maass, W.Media Channels for Personal Business Media, IEEE International Conference on Digital Ecosystems and Technologies (DEST), Istanbul, Turkey, 2009.

2008

  • Janzen, S. & Maass, W. CoRA – Interactive Communication with Smart Products, Workshop AmI Blocks at the European Conference on Ambient Intelligence (AmI-08), Nürnberg, 2008.
  • Janzen, S. & Maass, W. Smart Product Description Object (SPDO), Poster In Proceedings of the 5th International Conference on Formal Ontology in Information Systems (FOIS2008), Saarbrücken, 2008.
  • Apostolou, D., Mentzas, G., Klein, B., Abecker, A. & Maass, W. Interorganizational Knowledge Exchanges, IEEE Intelligent Systems, 2008, 23(4), pp. 65-74.
  • Maass, W. & Varshney, U. Preface to the Focus Theme Section: ‘Smart Products’ , Electronic Markets, 2008, 18(3), pp. 211-215.
  • Kowatsch, T. Pre-defined Terms in Collaborative Indexing Systems: Why are they used and which impact do they have on the community’s vocabulary?, VDM Verlag, 2008.
  • Janzen, S. Natürlichsprachliche Kommunikation mit Produktkollektionen in Verkaufssituationen (Master Thesis), 2008.
  • Maass, W. & Kowatsch, T. Mobile Decision Support vs. Interpersonal Sales Communication: Predictors of Buying Intentions for Price Bundles, Proceedings of the 21st Bled eConference, Bled, Slovenia, 2008.
  • Maass, W. & Kowatsch, T. Adoption of Dynamic Product Information: An Empirical Investigation of Supporting Purchase Decisions on Product Bundles, In Proceedings of the 16th European Conference on Information Systems (ECIS), Galway, Ireland, 2008.
  • Kowatsch, T. & Maass, W. The Impact of Pre-defined Terms on the Vocabulary of Collaborative Indexing Systems, In Proceedings of the 16th European Conference on Information Systems (ECIS), Galway, Ireland, 2008.
  • Maass, W., & Stahl, F. In: Meckel, M. & Schmid, B (Hrsg.) Content Management als Teil des Kommunikationsmanagement, Kommunikationsmanagement im Wandel, Gabler, 2008, pp. 151-162.
  • Maass, W., Filler, A. & Janzen, S.In: Mühlhäuser, M., Ferscha, A. and Aitenbichler, E (Hrsg.) Reasoning on Smart Products in Consumer Good Domains, Constructing Ambient Intelligence, CCIS 11, Springer, 2008.
  • Kowatsch, T., Maass, W., Filler, A. & Janzen, S. Knowledge-based Bundling of Smart Products on a Mobile Recommendation Agent, Proceedings of the 7th International Conference on Mobile Business (ICMB). IEEE Computer Society Press. Barcelona, Spain, 2008.

2007

  • Maass, W., Kowatsch, T. & Münster, T. Vocabulary Patterns in Free-for-all Collaborative Indexing Systems , International Workshop on Emergent Semantics and Ontology Evolution (ESOE 2007) at the 6th International Semantic Web Conference (ISWC 2007) , Busan, Korea, 2007.
  • Maass, W. & Lampe, M. In: Koschke, R. & Rödiger, K.-H. (Hrsg.)
  • Integration of Standardized and Non-Standardized Product Data , Informatik 2007, Lecture Notes in Informatics, Springer, 2007.
  • Kowatsch, T. Adoption of Pre-defined Terms in Collaborative Indexing Systems (Master Thesis), 2007.
  • Maass, W., Behrendt, W. & Gangemi, A. Carrier Model for Semantically Annotated Information Goods, Journal of Theoretical and Applied Electronic Commerce Research (JTAER), 2007, 2(3), pp. 18-35.
  • Kowatsch, T. In Zydorek, C. (Hrsg.) Wachstumsstrategien, Strategien im Medienmanagement. Arbeitspapier Nr. 3, Fakultät Digitale Medien, Hochschule Furtwangen University, 2007, pp. 123-176.
  • Maass, W. & Janzen, S. Dynamic Product Interfaces: A Key Element for Ambient Shopping Environments , Proc. of 20th Bled eConference, Bled, Slovenia, 2007.
  • Maass, W. Elektronische Wissensmärkte: Handel digitaler Wissensgüter auf elektronischen Märkten, Gabler, 2007.
  • Maass, W., Filler, A. & Janzen, S. Reasoning on Smart Products in Consumer Good Domains, Workshop AmI Blocks at the European Conference on Ambient Intelligence (AmI-07) , Darmstadt, 2007.
  • Maass, W. & Filler, A. Tip ‘n Tell: Product-Centered Mobile Reasoning Support for Tangible Shopping , Proc. of MSWFB 2007: Making Semantics Work For Business, part of 1st European Semantic Technology Conference, Vienna, Austria, 2007.
  • Maass, W. A Tentative Design Model for Smart Products, Proc. of Workshop Design of Smart Products, Furtwangen , 2007.

2006

  • Stahl, F. & Maass, W.Adoption and Diffusion in Electronic Markets: An Empirical Analysis of Attributes influencing the adoption of digital paid content, Electronic Market, 2006, 16(3), pp. 233-244.
  • Filler, A. & Maass, W. In: Maass, W.; Schoder, D.; Stahl, F.; Fischbach, K. (Hrsg.) Towards Navigation in Semantically Annotated Physical Product Descriptions, Design of Smart Products, 2006, pp. 47-54.
  • Maass, W. & Behrendt, W. In: M. Schoop, A. de Moor, and J. Dietz (Hrsg Trading semantically enhanced digital products in electronic markets, Proc. of the Pragmatic Web Conference, Lecture Notes in Informatics (LNI), Springer, 2006, P-89, pp. 97–109.
  • Filler, A. Hybride Produkte – Entwicklung eines Basissystems zur Informationsaufbereitung und -abfrage von semantischen Produktdaten eines über RFID identifizierten Produktes (Diplomarbeit), 2006.
  • Maass, W. & Filler, A. In Ch. Hochberger and R. Liskowsky (Hrsg.)
  • Towards an infrastructure for semantically annotated physical products., Informatik 2006, Lecture Notes in Informatics, Springer, 2006, P-94, pp. 544–549.
  • Maass, W., Behrendt, W. & Gangemi, A. Carrier Model for Semantically Annotated Information Goods, Proc. of the Collecter Europe Conference, 2006.
  • Stahl, F. & Maass, W. Adoption and Diffusion of Digital Information Goods: An Empirical Analysis of the German Paid Content Market, Proc. of the 19th. Bled e-Conference: e-Values, Bled, Slovenia, 2006, pp. 79-88.

2005

  • Apostolou, D., Mentzas, G., Abecker, A., Maass, W., Georgolios, P. & Kafentzis K. Challenges and directions in knowledge asset trading, Intelligent Systems in Accounting, Finance and Management, 2005, 13(1), pp. 1-15.
  • Behrendt, W., Gangemi, A., Maass, W. & Westenthaler In: R. Gómez-Pérez, A. & Euzenat, J. (Hrsg.) Towards an Ontology-based Distributed Architecture for Paid Content, Proc. of the 2nd European Semantic Web Conference (ESWC), Springer, 2005, pp. 257-271.
  • Apostolou, D., Mentzas, G. & Maass, W. In: Li, E. & Du, T.C. (Hrsg.) Knowledge Networking for Collaborative Commerce, Advances in Electronic Business, Idea, 2005, 1, pp. 183-221.
  • Maass, W. & Stahl, F. In: Reich, S. (Hrsg.) Paid Content – Paid Services: Success Factors for Electronic Sales, Digital Content Engineering, Trauner, 2005, pp. 79-88.
  • Kowatsch, T. Ontologie-Entwicklung im Semantic Web – Herausforderungen und Lösungsansätze im Rahmen einer bereichsspezifischen Ontologie-Entwicklung mit Hilfe der Sprachkonstrukte der Web Ontology Language am Beispiel des Web-Portals der Fakultät Digitale Medien (Dip, 2005.

2004

  • Maass, W. In: A. Hohenstein & K. Wilbers (Hrsg.) Management von Lerninhalten durch Learning-Content-Management-Systeme, Handbuch E-Learning, Deutscher Wirtschaftsdienst, 2004, 24(5.6), pp. 1-10.
  • Maass, W., Goyal, S. & Behrendt, W. In: P. Hobson, E. Izquierdo, I. Kompatsiaris, N. O’Connor (Hrsg.) Knowledge Content Objects and a Knowledge Content Carrier Infrastructure for ambient knowledge and media aware content systems, Proc. European WS on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT), London, QMUL, 2004, pp. 449-456.
  • Apostolou, D., Georgolios, P., Klein, B., Franz, J., Maass, W., Abecker, A., Kafentzis, K. & Mentzas, G. Towards provision of knowledge-intensive products and services over the Web, Proc. IASTED International Conference on Artificial Intelligence and Applications (AIA 2004), Innsbruck, Austria, 2004.
  • Stahl, F., Schäfer, M.F. & Maass, W. Strategies for Selling Paid Content on Newspaper and Magazine Websites, Journal of Media Management, 2004, 6(1/2), pp. 59-66.
  • Maass, W., Schmid, B.F. & Eickhoff, W. Media Channels for Personal Business Media, International Journal on Electronic Business, 2004, 2(2), pp. 139-151.
  • Maass, W. In: Feller, J.; Fitzgerald, B.; Hissam, S. & Lakhani, K.R. (Hrsg.) Inside an Open Source Software Community: Empirical Analysis on Individual and Group Level, Proc. of the 4th Workshop on Open Source Software Engineering at 26th International Conference on Software Engineering (ICSE04), 2004, pp. 65-70.
  • Maass, W. In: Stanoevska-Slabeva, K. (Hrsg.) Innovative Bibliotheksdienste als Bestandteil von Forschungsmedien, The Digital Economy: Anspruch und Wirklichkeit, Springer, 2004, pp. 315-322.

2003

  • Maass, W. & Müller, J. P. Software Agents, preface for Special Issue on Software Agents, International Journal of Electronic Markets, 2003, 13(1).
  • Maass, W. In: R. Schmidt (Hrsg.) Marktübersicht zu Content Management Systemen, Proc. 25. DGI Online Tagung ‘Competence in Content’, DGI, Deutsche Gesellschaft f. Informationswissenschaft u. Informationspraxis, 2003.
  • Maass, W. Open Source – Eine strategische Position?, 2003.
  • Abecker, A., Apostolou, D., Maass, W., Mentzas, G., Reuschling, C. & Tabor, S. In: F. Weber, K.S. Pawar and K.-D. Thoben (Hrsg.) Towards an Information Ontology for Knowledge Asset Trading, Proc. ICE 2003 – 9th International Conference of Concurrent Enterprising, Espoo, Finland, 2003, pp. 187-194.
  • Abecker, A., Tabor, S., Traphöner, R., Franz, J., Maass, W. & Eickhoff, W. The INKASS Information Ontology for Knowledge Asset Trading (extended abstract), 6. Internationale Tagung Wirtschaftsinformatik 2003: Medien – Märkte – Mobilität, 2003.
  • Maass, W. In: Stahl, F. & Maass, W. (Hrsg.) Content Management als Teil des Kommunikations-Management, NetAcademy Press, 2003.
  • Stahl, F. & Maass, W. Content Management Handbuch: Strategien, Theorien und Systeme für erfolgreiches Content Management, NetAcademy Press, 2003.

2002

  • Apostolou, D., Mentzas, G., Abecker, A., Eickhoff, W., Maass, W., Georgolios, P., Kafentzis, K. & Kyriakopoulou, S. Towards an Information Ontology for Knowledge Asset Trading, Fourth International Conference on Practical Aspects of Knowledge Management, 2002.
  • Eickhoff, W. & Maass, W. Micromarkets – a distributed agent-based approach to e-markets, Proc. E-World, Syria, 2002.
  • Apostolou, D., Mentzas, G., Abecker, A., Eickhoff, W., Maass, W., Georgolios, P., Kafentzis, K. & Kyriakopoulou, S. In: S. Karagiannis & U. Reimer (Hrsg.) Challenges and Directions in Knowledge Asset Trading, Proc. of the Practical Aspects of Knowledge Management, Lecture Notes in Computer Science, Springer, 2002, 2569, pp. 549-564.

1998

  • Maass, W. & Schmauks, D. MOSES: an example for the modelling of spatial services by means of route description system, Zeitschrift für Semiotik, 1998(1/2), pp. 105-118 .

1997

  • Krüger, A. & Maass, W. In: P. Olivier (Hrsg.) Towards a Computational Semantics of Pathrelations, Proc. of the Workshop “Language and Space” at 14th. Nat. Conf. on Artificial Intelligence (AAAI-97), Providence, Rhode Island, 1997.

1996

  • Maass, W. Von visuellen Daten zu inkrementellen Wegbeschreibungen in dreidimensionalen Umgebungen: Das Modell eines kognitiven Agenten, Akademische Verlagsgesellschaft Aka GmbH, 1996.

1995

  • Maass, W., Baus, J. & Paul, J. In: R. Srihari (Hrsg.) Visual Grounding of Route Descriptions in Dynamic Environments, Proc. of the AAAI Fall Symposium on Computational Models for Integrating Language and Vision, Cambridge, MA, 1995.
  • Maass, W. In: Frank, A. & Kuhn, W. (Hrsg.) How Spatial Information Connects Visual Perception and Natural Language Generation in Dynamic Environments: Towards a Computational Model, A Theoretical Basis for GIS, Proc. of the Int. Conf. COSIT’95 Spatial Information Theory, Lecture Notes in Computer Science, Springer, 1995, 988, pp. 223-240.

1994

  • Maass, W. From visual perception to multimodal communication: Incremental route descriptions, Artificial Intelligence Review Journal, 1994, 8(2-3), pp. 159-174.
  • Gapp, K. & Maass, W. In: P. Mc Kevitt (Hrsg.) Spatial Layout Identification and Incremental Descriptions, Proc. of AAAI-94 Workshop on “Integration of Natural Language and Vision Processing”, Seattle, WA, 1994, pp. 145-152.

1993

  • Herzog, G., Maass, W. & Wazinski, P. VITRA GUIDE: Utilisation du Langage Naturel et de Représentation Graphiques pour la Description d’Iténitaires, Colloque Interdisciplinaire du Commitée National “Images et Langages: Multimodalitée et Modélisation Cognitive”, 1993, pp. 243-251.
  • Maass, W., Wazinski, P. & Herzog, G. VITRA GUIDE: Multimodal Route Descriptions for Computer Assisted Vehicle Navigation, Proc. of the 6th Int. Conf. on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-93), Edinburgh, Scotland, 1993.

1992

  • Maass, W. Constraint-basierte Plazierung in multimodalen Dokumenten am Beispiel des Layout-Managers in WIP, 1992.
  • Maass, W., Schiffmann, T., Soetopo, D. & Graf, W. LAYLAB: Ein System zur automatischen Plazierung von Text-Bild-Kombinationen in multimodalen Dokumenten, 1992.

1991

  • Graf, W. & Maass, W. In: Brauer, W. & Hernández, D. (Hrsg.) Constraint-basierte Verarbeitung graphischen Wissens, Proc. of 4. Internationaler GI-Kongreß Wissensbasierte Systeme – Verteilte KI und kooperatives Arbeiten, Springer, 1991, pp. 243-253.
  • Graf, W. & Maass, W. Constraint-basierte Verarbeitung graphischen Wissens, 1991. pdf scholKaufmann, T. ;Sahay, S.; Niemietz, P. ; Trauth, D.; Maass, W. & Bergs, T. AI-based Framework for Deep Learning Applications in Grinding, In Proceedings of the IEEE 18th World Symposium on Applied Machine Intelligence and Informatics(SAMI), R