Semantische Mashups auf Basis Vernetzter Daten

  • Sören Auer
  • Jens Lehmann
  • Christian Bizer
Part of the book series (XMEDIAP)


Semantische Mashups sind Anwendungen, die vernetzte Daten aus mehreren Web-Datenquellen mittels standardisierter Datenformate und Zugriffsmechanismen nutzen. Der Artikel gibt einen Überblick über die Idee und Motivation der Vernetzung von Daten. Es werden verschiedene Architekturen und Ansätze zur Generierung von RDF-Daten aus bestehenden Web 2.0- Datenquellen, zur Vernetzung der extrahierten Daten sowie zur Veröffentlichung der Daten im Web anhand konkreter Beispiele diskutiert. Hierbei wird insbesondere auf Datenquellen, die aus sozialen Interaktionen hervorgegangen sind eingegangen. Anschließend wird ein Überblick über verschiedene, im Web frei zugängliche semantische Mashups gegeben und auf leichtgewichtige Inferenzansätze eingegangen, mittels derer sich die Funktionalität von semantischen Mashups weiter verbessern lässt.


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  1. 1.
    Sören Auer and Zachary Ives. Integrating ontologies and relational data. Technical Report MS-CIS-07-24, Computer and Information Sciences Department, School of Engineering and Applied Science, University of Pennsylvania, 3330 Walnut Street Philadelphia, PA 19104-6389, Oct 2007.Google Scholar
  2. 2.
    Sören Auer, Christian Bizer, Jens Lehmann, Georgi Kobilarov, Richard Cyganiak, and Zachary Ives. DBpedia: A nucleus for a web of open data. In Proceedings of the International Semantic Web Conference (ISWC 2007), 2007.Google Scholar
  3. 3.
    Sören Auer and Jens Lehmann. What have innsbruck and leipzig in common? extracting semantics from wiki content. In Enrico Franconi, Michael Kifer, and Wolfgang May, editors, ESWC, volume 4519 of Lecture Notes in Computer Science, pages 503–517. Springer, 2007.Google Scholar
  4. 4.
    Liviu Badea and Shan-Hwei Nienhuys-Cheng. A refinement operator for description logics. In J. Cussens and A. Frisch, editors, Proceedings of the 10th International Conference on Inductive Logic Programming, volume 1866 of Lecture Notes in Artificial Intelligence, pages 40–59. Springer-Verlag, 2000.Google Scholar
  5. 5.
    D. Beckett. Turtle – Terse RDF Triple Language., 2004.Google Scholar
  6. 6.
    David Beckett. The design and implementation of the redland RDF application framework. In Proceedings of the Tenth InternationalWorldWideWeb Conference (WWW2001), February 16 2001.Google Scholar
  7. 7.
    Tim Berners-Lee. Linked data, 2006. Scholar
  8. 8.
    Chris Bizer and Richard Cyganiak. D2r server – publishing relational databases on the semantic web, 2007. Scholar
  9. 9.
    Chris Bizer, Ryan Lee, and Emmanuel Pietriga. Fresnel – display vocabulary for RDF, 2004.Google Scholar
  10. 10.
    Christian Bizer, Richard Cyganiak, and Tobias Gauß. The RDF Book Mashup: From Web APIs to a Web of Data. In Proceedings of the 3rd Workshop on Scripting for the Semantic Web, 2007.Google Scholar
  11. 11.
    Christian Bizer, Richard Cyganiak, and Tom Heath. How to publish linked data on the web, 2007. Scholar
  12. 12.
    John Breslin. Sioc exporters, 2007. Scholar
  13. 13.
    Richard Cyganiak and Chris Bizer. Pubby – a linked data frontend for sparql endpoints, 2007. Scholar
  14. 14.
    Orri Erling and Ivan Mikhailov. RDF support in the Virtuoso DBMS. volume P-113 of GI-Edition – Lecture Notes in Informatics (LNI), ISSN 1617-5468. Bonner Köllen Verlag, September 2007.Google Scholar
  15. 15.
    Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, and Giovanni Semeraro. Concept formation in expressive description logics. In Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20–24, 2004, Proceedings. Springer, 2004.Google Scholar
  16. 16.
    Luigi Iannone and Ignazio Palmisano. An algorithm based on counterfactuals for concept learning in the semantic web. In Proceedings of the 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, pages 370–379, Bari, Italy, June 2005.Google Scholar
  17. 17.
    Luigi Iannone, Ignazio Palmisano, and Nicola Fanizzi. An algorithm based on counterfactuals for concept learning in the semantic web. Applied Intelligence, 26(2):139–159, 2007.CrossRefGoogle Scholar
  18. 18.
    Arjohn Kampman, Frank Van Harmelen, and Jeen Broekstra. Sesame: An architecture for storing and querying RDF data and schema information, July 03 2001.Google Scholar
  19. 19.
    Graham Klyne and Jeremy J. Carroll. Resource Description Framework (RDF): Concepts and Abstract Syntax – W3C Recommendation, 2004. Scholar
  20. 20.
    Jens Lehmann. Hybrid learning of ontology classes. In Proceedings of the 5th International Conference on Machine Learning and Data Mining, MLDM 2007. Springer, 2007.Google Scholar
  21. 21.
    Jens Lehmann and Pascal Hitzler. Foundations of refinement operators for description logics. In Proceedings of the 17th International Conference on Inductive Logic Programming (ILP). Springer, 2007.Google Scholar
  22. 22.
    Jens Lehmann and Pascal Hitzler. A refinement operator based learning algorithm for the alc description logic. In Proceedings of the 17th International Conference on Inductive Logic Programming (ILP). Springer, 2007.Google Scholar
  23. 23.
    Yutaka Matsuo, Masahiro Hamasaki, Junichiro Mori, Hideaki Takeda, and Koiti Hasida. Ontological consideration on human relationship vocabulary for foaf. In SWAD-Europe Final Workshop „Friend of a Friend, Social Networking and the Semantic Web“, held 1–2 September 2004 in Galway, Ireland, 2004.Google Scholar
  24. 24.
    Shan-Hwei Nienhuys-Cheng and Ronald de Wolf, editors. Foundations of Inductive Logic Programming. Lecture Notes in Computer Science. Springer, 1997.Google Scholar
  25. 25.
    Radoslaw Oldakowski, Christian Bizer, and Daniel Westphal. RAP: RDF API for PHP. In Sören Auer, Chris Bizer, and Libby Miller, editors, Proceedings of the Workshop Scripting for the Semantic Web, number 135 in CEURWorkshop Proceedings, Heraklion, Greece, 05 2005.Google Scholar
  26. 26.
    o.V. Linking open data – w3c sweo community project, 2007. http://esw.w3. org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData.Google Scholar
  27. 27.
    Veronique Royer and J. Joachim Quantz. Deriving inference rules for description logics: a rewriting approach into sequent calculi. Technical Report TUB-FB13-KIT-111, KIT Project Group Publications, December 1 1993. Tue, 07 Nov 1995 19:31:17 GMT.Google Scholar
  28. 28.
    Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. Yago: A Core of Semantic Knowledge. In 16th international World Wide Web conference (WWW 2007), New York, NY, USA, 2007. ACM Press.Google Scholar
  29. 29.
    Tim Berners-Lee et al. Tabulator: Exploring and analyzing linked data on the semanticweb. In Proceedings of the 3rd International Semantic Web User Interaction Workshop, 2006. Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sören Auer
    • 1
  • Jens Lehmann
    • 1
  • Christian Bizer
    • 2
  1. 1.Institut für Informatik (IfI)Universität LeipzigLeipzigDeutschland
  2. 2.Web-based Systems GroupFreie Universität BerlinBerlinDeutschland

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