SemIndex: Semantic-Aware Inverted Index

Descripción del Articulo

carlos.raymundo@upc.edu.pe
Detalles Bibliográficos
Autores: Chbeir, Richard, Luo, Yi, Tekli, Joe, Yetongnon, Kokou, Raymundo Ibañez, Carlos Arturo, Traina, Agma J. M., Traina Jr, Caetano, Al Assad, Marc, Universidad Peruana de Ciencias Aplicadas (UPC)
Formato: artículo
Fecha de Publicación:2015
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/344330
Enlace del recurso:http://hdl.handle.net/10757/344330
Nivel de acceso:acceso abierto
Materia:Semantic Queries
Inverted lndex
NoSQL indexing
Semantic Network
Ontologies
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dc.title.es_PE.fl_str_mv SemIndex: Semantic-Aware Inverted Index
title SemIndex: Semantic-Aware Inverted Index
spellingShingle SemIndex: Semantic-Aware Inverted Index
Chbeir, Richard
Semantic Queries
Inverted lndex
NoSQL indexing
Semantic Network
Ontologies
title_short SemIndex: Semantic-Aware Inverted Index
title_full SemIndex: Semantic-Aware Inverted Index
title_fullStr SemIndex: Semantic-Aware Inverted Index
title_full_unstemmed SemIndex: Semantic-Aware Inverted Index
title_sort SemIndex: Semantic-Aware Inverted Index
dc.creator.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
author Chbeir, Richard
author_facet Chbeir, Richard
Luo, Yi
Tekli, Joe
Yetongnon, Kokou
Raymundo Ibañez, Carlos Arturo
Traina, Agma J. M.
Traina Jr, Caetano
Al Assad, Marc
Universidad Peruana de Ciencias Aplicadas (UPC)
author_role author
author2 Luo, Yi
Tekli, Joe
Yetongnon, Kokou
Raymundo Ibañez, Carlos Arturo
Traina, Agma J. M.
Traina Jr, Caetano
Al Assad, Marc
Universidad Peruana de Ciencias Aplicadas (UPC)
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Chbeir, Richard
Luo, Yi
Tekli, Joe
Yetongnon, Kokou
Raymundo Ibañez, Carlos Arturo
Traina, Agma J. M.
Traina Jr, Caetano
Al Assad, Marc
dc.subject.es_PE.fl_str_mv Semantic Queries
Inverted lndex
NoSQL indexing
Semantic Network
Ontologies
topic Semantic Queries
Inverted lndex
NoSQL indexing
Semantic Network
Ontologies
description carlos.raymundo@upc.edu.pe
publishDate 2015
dc.date.accessioned.none.fl_str_mv 2015-02-10T05:46:42Z
dc.date.available.none.fl_str_mv 2015-02-10T05:46:42Z
dc.date.issued.fl_str_mv 2015-02-10
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.eng.fl_str_mv [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.
dc.identifier.issn.none.fl_str_mv 0302-9743
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-319-10933-6_22
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/344330
dc.identifier.journal.eng.fl_str_mv Lecture Notes in Computer Science
identifier_str_mv [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.
0302-9743
10.1007/978-3-319-10933-6_22
Lecture Notes in Computer Science
url http://hdl.handle.net/10757/344330
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv http://link.springer.com/chapter/10.1007/978-3-319-10933-6_22
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Springer International Publishing
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
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spelling Chbeir, RichardLuo, YiTekli, JoeYetongnon, KokouRaymundo Ibañez, Carlos ArturoTraina, Agma J. M.Traina Jr, CaetanoAl Assad, MarcUniversidad Peruana de Ciencias Aplicadas (UPC)2015-02-10T05:46:42Z2015-02-10T05:46:42Z2015-02-10[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, 2014.0302-974310.1007/978-3-319-10933-6_22http://hdl.handle.net/10757/344330Lecture Notes in Computer Sciencecarlos.raymundo@upc.edu.peThis 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.This study is partly funded by: Bourgogne Region program, CNRS, and STIC AmSud project Geo-Climate XMine, and LAU grant SOERC-1314T012.Revisión por paresapplication/pdfengSpringer International Publishinghttp://link.springer.com/chapter/10.1007/978-3-319-10933-6_22info:eu-repo/semantics/openAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCSemantic Queries68e81d1a-ac70-4888-951e-fa44993e702c600Inverted lndex03744d22-3426-48ae-a31d-a140eb3bdb49600NoSQL indexing867466b7-f958-48fd-815c-3211acb18d57600Semantic Networkf89aae32-6b43-4985-bfb6-db9086ddec92600Ontologies569ba858-5abb-4a07-8c29-8e75d43ed5a7600SemIndex: Semantic-Aware Inverted Indexinfo:eu-repo/semantics/article2018-06-16T23:13:23ZThis 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. 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