Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
A vector space model for automatic indexing
Communications of the ACM
Modern Information Retrieval
Mapping data in peer-to-peer systems: semantics and algorithmic issues
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Autonomously semantifying wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
Linked data on the web (LDOW2008)
Proceedings of the 17th international conference on World Wide Web
Information extraction from Wikipedia: moving down the long tail
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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
International Journal of Human-Computer Studies
Relation extraction from wikipedia using subtree mining
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Making more wikipedians: facilitating semantics reuse for wikipedia authoring
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
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
Hi-index | 0.00 |
This paper is concerned with the problems of understanding the relations in automatically extracted semantic datasets such as DBpedia and utilizing them in semantic queries such as SPARQL. Although DBpedia has achieved a great success in supporting convenient navigation and complex queries over the extracted semantic data from Wikipedia, the browsing mechanism and the organization of the relations in the extracted data are far from satisfactory. Some relations have anomalous names and are hard to be understood even by experts if looking at the relation names only; there exist synonymous and polysemous relations which may cause incomplete or noisy query results. In this paper, we propose to solve these problems by 1 exploiting the Wikipedia category system to facilitate relation understanding and query constraint selection, 2 exploring various relation representation models for similar/super-/sub-relation detection to help the users select proper relations in their queries. A prototype system has been implemented and extensive experiments are performed to illustrate the effectiveness of the proposed approach.