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\n\n \n \n \n \n \n The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content.\n \n \n \n\n\n \n Bader, S., Pullmann, J., Mader, C., Tramp, S., Quix, C., Müller, A. W., Akyürek, H., Böckmann, M., Imbusch, B. T., Lipp, J., Geisler, S., & Lange, C.\n\n\n \n\n\n\n In Pan, J. Z., Tamma, V., d'Amato , C., Janowicz, K., Fu, B., Polleres, A., Seneviratne, O., & Kagal, L., editor(s),
The Semantic Web – ISWC 2020, pages 176–192, Cham, 2020. Springer International Publishing\n
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@InProceedings{Bader2020,\r\n author = {Bader, Sebastian and Pullmann, Jaroslav and Mader, Christian and Tramp, Sebastian and Quix, Christoph and M{\\"u}ller, Andreas W. and Aky{\\"u}rek, Haydar and B{\\"o}ckmann, Matthias and Imbusch, Benedikt T. and Lipp, Johannes and Geisler, Sandra and Lange, Christoph},\r\n booktitle = {The Semantic Web -- ISWC 2020},\r\n title = {The International Data Spaces Information Model -- An Ontology for Sovereign Exchange of Digital Content},\r\n year = {2020},\r\n address = {Cham},\r\n editor = {Pan, Jeff Z. and Tamma, Valentina and d'Amato, Claudia and Janowicz, Krzysztof and Fu, Bo and Polleres, Axel and Seneviratne, Oshani and Kagal, Lalana},\r\n pages = {176--192},\r\n publisher = {Springer International Publishing},\r\n abstract = {The International Data Spaces initiative (IDS) is building an ecosystem to facilitate data exchange in a secure, trusted, and semantically interoperable way. It aims at providing a basis for smart services and cross-company business processes, while at the same time guaranteeing data owners' sovereignty over their content. The IDS Information Model is an RDFS/OWL ontology defining the fundamental concepts for describing actors in a data space, their interactions, the resources exchanged by them, and data usage restrictions. After introducing the conceptual model and design of the ontology, we explain its implementation on top of standard ontologies as well as the process for its continuous evolution and quality assurance involving a community driven by industry and research organisations. We demonstrate tools that support generation, validation, and usage of instances of the ontology with the focus on data control and protection in a federated ecosystem.},\r\n doi = {https://doi.org/10.1007/978-3-030-62466-8_12},\r\n groups = {own},\r\n isbn = {978-3-030-62466-8},\r\n}\r\n\r\n\n
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\n The International Data Spaces initiative (IDS) is building an ecosystem to facilitate data exchange in a secure, trusted, and semantically interoperable way. It aims at providing a basis for smart services and cross-company business processes, while at the same time guaranteeing data owners' sovereignty over their content. The IDS Information Model is an RDFS/OWL ontology defining the fundamental concepts for describing actors in a data space, their interactions, the resources exchanged by them, and data usage restrictions. After introducing the conceptual model and design of the ontology, we explain its implementation on top of standard ontologies as well as the process for its continuous evolution and quality assurance involving a community driven by industry and research organisations. We demonstrate tools that support generation, validation, and usage of instances of the ontology with the focus on data control and protection in a federated ecosystem.\n
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\n\n \n \n \n \n \n Feasibility of activity-based expert profiling using text mining of scientific publications and patents.\n \n \n \n\n\n \n Bukowski, M., Geisler, S., Schmitz-Rode, T., & Farkas, R.\n\n\n \n\n\n\n
Scientometrics,1–42. 2020.\n
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@Article{Bukowski2020,\r\n author = {Bukowski, Mark and Geisler, Sandra and Schmitz-Rode, Thomas and Farkas, Robert},\r\n journal = {Scientometrics},\r\n title = {Feasibility of activity-based expert profiling using text mining of scientific publications and patents},\r\n year = {2020},\r\n pages = {1--42},\r\n doi = {https://doi.org/10.1007/s11192-020-03414-8},\r\n groups = {own},\r\n publisher = {Springer},\r\n}\r\n\r\n\n
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\n\n \n \n \n \n \n Database Management Systems (DBMS).\n \n \n \n\n\n \n Geisler, S., & Quix, C.\n\n\n \n\n\n\n In
Encyclopedia of Big Data. Springer International Publishing, 2020.\n
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@InCollection{Geisler2020,\r\n author = {Sandra Geisler and Christoph Quix},\r\n booktitle = {{Encyclopedia of Big Data}},\r\n publisher = {Springer International Publishing},\r\n title = {{Database Management Systems (DBMS)}},\r\n year = {2020},\r\n doi = {https://doi.org/10.1007/978-3-319-32010-6_538},\r\n groups = {own},\r\n}\r\n\r\n\n
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\n\n \n \n \n \n \n Data Lake.\n \n \n \n\n\n \n Quix, C., Geisler, S., & Hai, R.\n\n\n \n\n\n\n In
Encyclopedia of Big Data. Springer International Publishing, 2020.\n
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@InCollection{Quix2020,\r\n author = {Christoph Quix and Sandra Geisler and Rihan Hai},\r\n booktitle = {{Encyclopedia of Big Data}},\r\n publisher = {Springer International Publishing},\r\n title = {{Data Lake}},\r\n year = {2020},\r\n doi = {https://doi.org/10.1007/978-3-319-32010-6_309},\r\n groups = {own},\r\n}\r\n\r\n\n
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\n\n \n \n \n \n \n Use Cases from the Medical Domain.\n \n \n \n\n\n \n Geisler, S., Vidal, M., Paja, E., Lenzerini, M., & Missier, P.\n\n\n \n\n\n\n In Capiello, C., Gal, A., Jarke, M., & Rehof, J., editor(s),
Data Ecosystems: Sovereign Data Exchange among Organizations (Dagstuhl Seminar 19391), of Dagstuhl Reports, pages 11-18. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2020.\n
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@InCollection{Geisler2020b,\r\n author = {Sandra Geisler and Maria-Esther Vidal and Elda Paja and Maurizio Lenzerini and Paolo Missier},\r\n booktitle = {Data Ecosystems: Sovereign Data Exchange among Organizations (Dagstuhl Seminar 19391)},\r\n publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik},\r\n title = {{Use Cases from the Medical Domain}},\r\n year = {2020},\r\n editor = {Cinzia Capiello and Avigdor Gal and Matthias Jarke and Jakob Rehof},\r\n pages = {11-18},\r\n series = {Dagstuhl Reports},\r\n groups = {own},\r\n}\r\n\r\n\n
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