SemIndex: Semantic-Aware Inverted Index
Descripción del Articulo
carlos.raymundo@upc.edu.pe
Autores: | , , , , , , , , |
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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 |
format |
article |
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 |
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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 |
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openAccess |
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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 |
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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. Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.ORIGINALPreviouspaperSemIndex.pdfPreviouspaperSemIndex.pdfapplication/pdf872470https://repositorioacademico.upc.edu.pe/bitstream/10757/344330/1/PreviouspaperSemIndex.pdf43eaa019e45b9daabe6699363cff2a50MD51trueLICENSElicense.txtlicense.txttext/plain; charset=utf-81659https://repositorioacademico.upc.edu.pe/bitstream/10757/344330/2/license.txt1ed8f33c5404431ad7aabc05080746c5MD52falseTEXTPreviouspaperSemIndex.pdf.txtPreviouspaperSemIndex.pdf.txtExtracted Texttext/plain42745https://repositorioacademico.upc.edu.pe/bitstream/10757/344330/3/PreviouspaperSemIndex.pdf.txtad6e1aa1b5e0d257a8cfc0255f750568MD53falseTHUMBNAILPreviouspaperSemIndex.pdf.jpgPreviouspaperSemIndex.pdf.jpgGenerated Thumbnailimage/jpeg69500https://repositorioacademico.upc.edu.pe/bitstream/10757/344330/4/PreviouspaperSemIndex.pdf.jpg8a00cf9443b05236aebfd32a9605b936MD54false10757/344330oai:repositorioacademico.upc.edu.pe:10757/3443302019-08-30 08:09:45.526Repositorio académico upcupc@openrepository.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 |
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