A Query-Driven Characterization of Linked Data

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Due to the linked data initiative, the once unpopulated semantic Web is now rapidly being populated with millions of facts stored in RDF (Resource Description Framework). Could any of this data possibly be interesting to ordinary users? In this paper, the authors run queries extracted from a query log from a major hypertext search engine against a semantic Web search engine to determine if the semantic Web has anything of interest to the average Web user. There is indeed much semantic Web information that could be relevant for many queries for entities (like people and places) and abstract concepts, although these possibly relevant results are overwhelmingly clustered around DBPedia.
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