What SPARQL Query Logs Tell and Do Not Tell About Semantic Relatedness in LOD

Or: The Unsuccessful Attempt to Improve the Browsing Experience of DBpedia by Exploiting Query Logs
Conference paper

DOI: 10.1007/978-3-319-25639-9_44

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)
Cite this paper as:
Huelss J., Paulheim H. (2015) What SPARQL Query Logs Tell and Do Not Tell About Semantic Relatedness in LOD. In: Gandon F., Guéret C., Villata S., Breslin J., Faron-Zucker C., Zimmermann A. (eds) The Semantic Web: ESWC 2015 Satellite Events. ESWC 2015. Lecture Notes in Computer Science, vol 9341. Springer, Cham

Abstract

Linked Open Data browsers nowadays usually list facts about entities, but they typically do not respect the relatedness of those facts. At the same time, query logs from LOD datasets hold information about which facts are typically queried in conjunction, and should thus provide a notion of intra-fact relatedness. In this paper, we examine the hypothesis how query logs can be used to improve the display of information from DBpedia, by grouping presumably related facts together. The basic assumption is that properties which frequently co-occur in SPARQL queries are highly semantically related, so that co-occurence in query logs can be used for visual grouping of statements in a Linked Data browser. A user study, however, shows that the grouped display is not significantly better than simple baselines, such as the alphabetical ordering used by the standard DBpedia Linked Data interface. A deeper analysis shows that the basic assumption can be proven wrong, i.e., co-occurrence in query logs is actually not a good proxy for semantic relatedness of statements.

Keywords

Semantic relatedness Linked Open Data Linked data browsers Query log mining DBpedia 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Research Group Data and Web ScienceUniversity of MannheimMannheimGermany

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