Information retrieval on the semantic web
Proceedings of the eleventh international conference on Information and knowledge management
WWW '03 Proceedings of the 12th international conference on World Wide Web
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
SemRank: ranking complex relationship search results on the semantic web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Semantic components enhance retrieval of domain-specific documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A survey and classification of semantic search approaches
International Journal of Metadata, Semantics and Ontologies
Towards an Effective XML Keyword Search
IEEE Transactions on Knowledge and Data Engineering
Utilizing resource importance for ranking semantic web query results
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
A node indexing scheme for web entity retrieval
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
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There has been much research proposed to use ontology for improving the effectiveness of search. However, there are few studies focusing on the patent area. Since patents are domain-specific, traditional search methods may not achieve a high performance without knowledge bases. To address this issue, we propose PatentRank, an ontology-based method for patent search. We utilize International Patent Classification (IPC) as an ontology to enable computer to better understand the domain-specific knowledge. In this way, the proposed method is able to well disambiguate user's search intents. And also this method discovers the relationship between patents and employs it to improve the ranking algorithm. The empirical experiments have been conducted to demonstrate the effectiveness of our method.