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SemIndex: Semantic-Aware Inverted Index

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Authors
Chbeir, Richard
Luo, Yi
Tekli, Joe
Yetongnon, Kokou
Raymundo Ibañez, Carlos Arturo
Traina, Agma J. M.
Traina Jr, Caetano
Al Assad, Marc
Issue Date
2015-02-10
Keywords
Semantic Queries
Inverted lndex
NoSQL indexing
Semantic Network
Ontologies

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Citation
[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 Publishing
Journal
Lecture Notes in Computer Science
URI
http://hdl.handle.net/10757/344330
DOI
10.1007/978-3-319-10933-6_22
Additional Links
http://link.springer.com/chapter/10.1007/978-3-319-10933-6_22
Abstract
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/article
Rights
info:eu-repo/semantics/openAccess
Language
eng
Description
carlos.raymundo@upc.edu.pe
ISSN
0302-9743
ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-10933-6_22
Scopus Count
Collections
Ingeniería de Sistemas y Computación

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