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  1. Thuraisingham, B.: XML databases and the semantic Web (2002) 0.02
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  2. Call, A.; Gottlob, G.; Pieris, A.: ¬The return of the entity-relationship model : ontological query answering (2012) 0.02
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    Abstract
    The Entity-Relationship (ER) model is a fundamental formalism for conceptual modeling in database design; it was introduced by Chen in his milestone paper, and it is now widely used, being flexible and easily understood by practitioners. With the rise of the Semantic Web, conceptual modeling formalisms have gained importance again as ontology formalisms, in the Semantic Web parlance. Ontologies and conceptual models are aimed at representing, rather than the structure of data, the domain of interest, that is, the fragment of the real world that is being represented by the data and the schema. A prominent formalism for modeling ontologies are Description Logics (DLs), which are decidable fragments of first-order logic, particularly suitable for ontological modeling and querying. In particular, DL ontologies are sets of assertions describing sets of objects and (usually binary) relations among such sets, exactly in the same fashion as the ER model. Recently, research on DLs has been focusing on the problem of answering queries under ontologies, that is, given a query q, an instance B, and an ontology X, answering q under B and amounts to compute the answers that are logically entailed from B by using the assertions of X. In this context, where data size is usually large, a central issue the data complexity of query answering, i.e., the computational complexity with respect to the data set B only, while the ontology X and the query q are fixed.
  3. Semantische Technologien : Grundlagen - Konzepte - Anwendungen (2012) 0.01
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    Content
    Inhalt: 1. Einleitung (A. Dengel, A. Bernardi) 2. Wissensrepräsentation (A. Dengel, A. Bernardi, L. van Elst) 3. Semantische Netze, Thesauri und Topic Maps (O. Rostanin, G. Weber) 4. Das Ressource Description Framework (T. Roth-Berghofer) 5. Ontologien und Ontologie-Abgleich in verteilten Informationssystemen (L. van Elst) 6. Anfragesprachen und Reasoning (M. Sintek) 7. Linked Open Data, Semantic Web Datensätze (G.A. Grimnes, O. Hartig, M. Kiesel, M. Liwicki) 8. Semantik in der Informationsextraktion (B. Adrian, B. Endres-Niggemeyer) 9. Semantische Suche (K. Schumacher, B. Forcher, T. Tran) 10. Erklärungsfähigkeit semantischer Systeme (B. Forcher, T. Roth-Berghofer, S. Agne) 11. Semantische Webservices zur Steuerung von Prooduktionsprozessen (M. Loskyll, J. Schlick, S. Hodeck, L. Ollinger, C. Maxeiner) 12. Wissensarbeit am Desktop (S. Schwarz, H. Maus, M. Kiesel, L. Sauermann) 13. Semantische Suche für medizinische Bilder (MEDICO) (M. Möller, M. Sintek) 14. Semantische Musikempfehlungen (S. Baumann, A. Passant) 15. Optimierung von Instandhaltungsprozessen durch Semantische Technologien (P. Stephan, M. Loskyll, C. Stahl, J. Schlick)
  4. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.01
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  5. Keyser, P. de: Indexing : from thesauri to the Semantic Web (2012) 0.01
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    Date
    24. 8.2016 14:03:22
  6. Metadata and semantics research : 7th Research Conference, MTSR 2013 Thessaloniki, Greece, November 19-22, 2013. Proceedings (2013) 0.01
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    Date
    17.12.2013 12:51:22
  7. Multimedia content and the Semantic Web : methods, standards, and tools (2005) 0.01
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    Classification
    006.7 22
    Date
    7. 3.2007 19:30:22
    DDC
    006.7 22
  8. Corporate Semantic Web : wie semantische Anwendungen in Unternehmen Nutzen stiften (2015) 0.01
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    Editor
    Ege, B. et al.
  9. Daconta, M.C.; Oberst, L.J.; Smith, K.T.: ¬The Semantic Web : A guide to the future of XML, Web services and knowledge management (2003) 0.01
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    Date
    22. 5.2007 10:37:38

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