Semantic Measures Based on RDF Projections: Application to Content-Based Recommendation Systems

1. Sy, M.-F., Ranwez, S., Montmain, J., Regnault, A., Crampes, M., Ranwez, V.: User centered and ontology based information retrieval system for life sciences. BMC Bioinformatics 13(suppl. 1), S4 (2012)

   Google Scholar 

2. Oldakowski, R., Bizer, C.: SemMF: A Framework for Calculating Semantic Similarity of Objects Represented as RDF Graphs. Poster at the 4th International Semantic Web Conference (2005)

   Google Scholar 

3. Jeh, G., Widom, J.: SimRank. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p. 538. ACM Press, New York (2002)

   Chapter  Google Scholar 

4. Ehrig, M., Haase, P., Hefke, M., Stojanovic, N.: Similarity for Ontologies - a Comprehensive Framework. In: Workshop Enterprise Modelling and Ontology: Ingredients for Interoperability, at PAKM (2004)

   Google Scholar 

5. Kiefer, C., Bernstein, A., Stocker, M.: The Fundamentals of iSPARQL - A Virtual Triple Approach for Similarity-Based Semantic Web Tasks. In: Aberer, K., et al. (eds.) ISWC/ASWC 2007. LNCS, vol. 4825, pp. 295–309. Springer, Heidelberg (2007)

   Google Scholar 

6. Albertoni, R., De Martino, M.: Semantic similarity of ontology instances tailored on the application context. In: Meersman, R., Tari, Z. (eds.) OTM 2006. LNCS, vol. 4275, pp. 1020–1038. Springer, Heidelberg (2006)

   Chapter  Google Scholar 

7. Euzenat, J., Shvaiko, P.: Ontology matching. Springer (2007)

   Google Scholar 

8. Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Silk – A Link Discovery Framework for the Web of Data. In: Proceedings of the 2nd Linked Data on the Web Workshop, pp. 1–6 (2009)

   Google Scholar 

9. Andrejko, A., Bieliková, M.: Comparing Instances of Ontological Concepts for Personalized Recommendation in Large Information Spaces. Computing and Informatics 28, 429–452 (2013)

   Google Scholar 

10. Burke, R.: Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction 12, 331–370 (2002)

    Article  MATH  Google Scholar 

11. Celma, O., Serra, X.: FOAFing the music: Bridging the semantic gap in music recommendation. Web Semantics Science Services and Agents on the World Wide Web 6, 250–256 (2008)

    Article  Google Scholar 

12. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: DBpedia: A nucleus for a web of open data. In: Aberer, K., et al. (eds.) ISWC/ASWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007)

    Google Scholar 

13. Hoffart, J., Suchanek, F.M., Berberich, K., Weikum, G.: YAGO2: a spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence 194, 28–61 (2013)

    Article  MATH  MathSciNet  Google Scholar 

14. Passant, A.: Dbrec—music recommendations using DBpedia. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part II. LNCS, vol. 6497, pp. 209–224. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

15. Baumann, S., Schirru, R.: Using Linked Open Data for Novel Artist Recommendations. In: 13th Internal Society for Music Information Retrival Conference, Porto (2012)

    Google Scholar 

Download references