Abstract
This paper presents an approach for the interactive discovery of relationships between selected elements via the Semantic Web. It emphasizes the human aspect of relationship discovery by offering sophisticated interaction support. Selected elements are first semi-automatically mapped to unique objects of Semantic Web datasets. These datasets are then crawled for relationships which are presented in detail and overview. Interactive features and visual clues allow for a sophisticated exploration of the found relationships. The general process is described and the RelFinder tool as a concrete implementation and proof-of-concept is presented and evaluated in a user study. The application potentials are illustrated by a scenario that uses the RelFinder and DBpedia to assist a business analyst in decision-making. Main contributions compared to previous and related work are data aggregations on several dimensions, a graph visualization that displays and connects relationships also between more than two given objects, and an advanced implementation that is highly configurable and applicable to arbitrary RDF datasets.
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Aleman-Meza, B., Halaschek-Wiener, C., Budak Arpinar, I., Ramakrishnan, C., Sheth, A.P.: Ranking complex relationships on the semantic web. IEEE Internet Computing 9(3), 37–44 (2005)
Anyanwu, K., Maduko, A., Sheth, A.P.: SemRank: ranking complex relationship search results on the semantic web. In: Proc. of the 14th International World Wide Web Conference (WWW ’05), pp. 117–127 (2005)
Berners-Lee, T.: Giant Global Graph (2007), http://dig.csail.mit.edu/breadcrumbs/node/215 (last access, 2009/12/20)
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: DBpedia – a crystallization point for the web of data. Web Semantics: Science, Services and Agents on the World Wide Web 7(3), 154–165 (2009)
Fruchterman, T.M.J., Reingold, E.M.: Graph drawing by force-directed placement. Softw. Pract. Exper. 21(11), 1129–1164 (1991)
Heim, P., Hellmann, S., Lehmann, J., Lohmann, S., Stegemann, T.: Relfinder: Revealing relationships in RDF knowledge bases. In: SAMT 2009. LNCS, vol. 5887, pp. 182–187. Springer, Heidelberg (2009)
Kochut, K., Janik, M.: SPARQLeR: Extended SPARQL for semantic association discovery. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 145–159. Springer, Heidelberg (2007)
Kuhlthau, C.C.: Seeking meaning: a process approach to library and information services. Libraries Unlimited (1993)
Lehmann, J., Schüppel, J., Auer, S.: Discovering unknown connections – the DBpedia relationship finder. In: Proc. of the 1st Conference on Social Semantic Web, CSSW’07 (2007)
Ramakrishnan, C., Kochut, K., Sheth, A.P.: A framework for schema-driven relationship discovery from unstructured text. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 583–596. Springer, Heidelberg (2006)
Sabou, M., d’Aquin, M., Motta, E.: Relation discovery from the semantic web. In: Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC ’08). CEUR, vol. 408, CEUR-WS.org (2008)
Sheth, A.P., Ramakrishnan, C.: Relationship web: Blazing semantic trails between web resources. IEEE Internet Computing 11(4), 77–81 (2007)
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Heim, P., Lohmann, S., Stegemann, T. (2010). Interactive Relationship Discovery via the Semantic Web. In: Aroyo, L., et al. The Semantic Web: Research and Applications. ESWC 2010. Lecture Notes in Computer Science, vol 6088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13486-9_21
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DOI: https://doi.org/10.1007/978-3-642-13486-9_21
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