The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Supporting entity search: a large-scale prototype search engine
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A knowledge-based search engine powered by wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Ranking very many typed entities on wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
EntityRank: searching entities directly and holistically
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
YAGO: A Large Ontology from Wikipedia and WordNet
Web Semantics: Science, Services and Agents on the World Wide Web
What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Overview of the INEX 2007 Entity Ranking Track
Focused Access to XML Documents
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Search and mining entity-relationship data
Proceedings of the 20th ACM international conference on Information and knowledge management
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Wikipedia has recently become an important semantic knowledge resource, thanks to its semi-structured semantic features and the huge amount of user-generated content covering a wide range of topics. The mode of information retrieval on Wikipedia, as on the Web in general, however, remains that of conventional keyword-based page/document retrieval. The project presented in this paper, entitled PanAnthropon FilmWorld, aims at demonstrating direct, sophisticated entity/fact retrieval by extracting/deriving semantic knowledge from Wikipedia and by representing facts using domain-relevant classes, entities, attributes, and categories. To this end, a semantic knowledge base containing the extracted data and a semantic search interface demonstrating the proposed retrieval capability have been constructed. The focus of this paper is on the details concerning semantic knowledge extraction and derivation. However, the interface is fully functional. The results of evaluation confirm both the quality of knowledge extraction and the effectiveness of entity/fact retrieval using the interface.