Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Chbeir, RichardLuo, Yi
Tekli, Joe
Yetongnon, Kokou
Raymundo Ibañez, Carlos Arturo
Traina, Agma J. M.
Traina Jr, Caetano
Al Assad, Marc
Issue Date
2015-02-10
Metadata
Show full item recordCitation
[1] R. Chbeir, Y. Luo, J. Tekli, K. Yetongnon, and C. Raymundo, “SemIndex : Semantic-Aware Inverted Index,” Lect. Notes Comput. Sci., vol. 8716, pp. 290–307, 2014.Publisher
Springer International PublishingJournal
Lecture Notes in Computer ScienceDOI
10.1007/978-3-319-10933-6_22Additional Links
http://link.springer.com/chapter/10.1007/978-3-319-10933-6_22Abstract
This paper focuses on the important problem of semanticaware search in textual (structured, semi-structured, NoSQL) databases. This problem has emerged as a required extension of the standard containment keyword based query to meet user needs in textual databases and IR applications. We provide here a new approach, called SemIndex, that extends the standard inverted index by constructing a tight coupling inverted index graph that combines two main resources: a general purpose semantic network, and a standard inverted index on a collection of textual data. We also provide an extended query model and related processing algorithms with the help of SemIndex. To investigate its effectiveness, we set up experiments to test the performance of SemIndex. Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.Type
info:eu-repo/semantics/articleRights
info:eu-repo/semantics/openAccessLanguage
engDescription
[email protected]ISSN
0302-9743ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-10933-6_22
Scopus Count
Collections