Abstract
Many applications take advantage of both ontologies and the Linked Data paradigm to characterize various kinds of resources. To fully exploit this knowledge, measures are used to estimate the relatedness of resources regarding their semantic characterization. Such semantic measures mainly focus on specific aspects of the semantic characterization (e.g. types) or only partially exploit the semantics expressed in the knowledge base. This article presents a framework for defining semantic measures to compare instances defined within an RDF knowledge base. A special type of measure, based on the representation of an instance through projections, is detailed and evaluated through its use in a music band recommender system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
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)
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)
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)
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)
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)
Euzenat, J., Shvaiko, P.: Ontology matching. Springer (2007)
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)
Andrejko, A., Bieliková, M.: Comparing Instances of Ontological Concepts for Personalized Recommendation in Large Information Spaces. Computing and Informatics 28, 429–452 (2013)
Burke, R.: Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction 12, 331–370 (2002)
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)
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)
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)
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)
Baumann, S., Schirru, R.: Using Linked Open Data for Novel Artist Recommendations. In: 13th Internal Society for Music Information Retrival Conference, Porto (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Harispe, S., Ranwez, S., Janaqi, S., Montmain, J. (2013). Semantic Measures Based on RDF Projections: Application to Content-Based Recommendation Systems. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2013 Conferences. OTM 2013. Lecture Notes in Computer Science, vol 8185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41030-7_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-41030-7_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41029-1
Online ISBN: 978-3-642-41030-7
eBook Packages: Computer ScienceComputer Science (R0)