BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis

Detalhes bibliográficos
Autor(a) principal: Saias, José
Data de Publicação: 2012
Outros Autores: Quaresma, Paulo, Salgueiro, Pedro, Santos, Tiago
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/5386
https://doi.org/10.4236/iim.2012.45033
Resumo: Current technology facilitates access to the vast amount of information that is produced every day. Both individuals and companies are active consumers of data from the Web and other sources, and these data guide decision making. Due to the huge volume of data to be processed in a business context, managers rely on decision support systems to facilitate data analysis. OLAP tools are Business Intelligence solutions for multidimensional analysis of data, allowing the user to control the perspective and the degree of detail in each dimension of the analysis. A conventional OLAP system is configured to a set of analysis scenarios associated with multidimensional data cubes in the repository. To handle a more spontaneous query, not supported in these provided scenarios, one must have specialized technical skills in data analytics. This makes it very difficult for average users to be autonomous in analyzing their data, as they will always need the assistance of specialists. This article describes an ontology-based natural language interface whose goal is to simplify and make more flexible and intuitive the interaction between users and OLAP solutions. Instead of programming an MDX query, the user can freely write a question in his own human language. The system interprets this question by combining the requested information elements, and generates an answer from the OLAP repository.
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spelling BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data AnalysisNLPBIOntologyQuestion AnsweringCurrent technology facilitates access to the vast amount of information that is produced every day. Both individuals and companies are active consumers of data from the Web and other sources, and these data guide decision making. Due to the huge volume of data to be processed in a business context, managers rely on decision support systems to facilitate data analysis. OLAP tools are Business Intelligence solutions for multidimensional analysis of data, allowing the user to control the perspective and the degree of detail in each dimension of the analysis. A conventional OLAP system is configured to a set of analysis scenarios associated with multidimensional data cubes in the repository. To handle a more spontaneous query, not supported in these provided scenarios, one must have specialized technical skills in data analytics. This makes it very difficult for average users to be autonomous in analyzing their data, as they will always need the assistance of specialists. This article describes an ontology-based natural language interface whose goal is to simplify and make more flexible and intuitive the interaction between users and OLAP solutions. Instead of programming an MDX query, the user can freely write a question in his own human language. The system interprets this question by combining the requested information elements, and generates an answer from the OLAP repository.Intelligent Information Management - SCIRP2012-10-29T10:50:30Z2012-10-292012-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/5386http://hdl.handle.net/10174/5386https://doi.org/10.4236/iim.2012.45033engJ. Saias, P. Quaresma, P. Salgueiro and T. Santos, "BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis," Intelligent Information Management, Vol. 4 No. 5, 2012, pp. 225-230. doi: 10.4236/iim.2012.45033.225-2302160-5920http://www.scirp.org/journal/PaperDownload.aspx?paperID=22898&returnUrl=http%3a%2f%2fwww.scirp.org%2fjournal%2fPaperInformation.aspx%3fpaperID%3d2289845jsaias@uevora.ptpq@uevora.ptpedro.salgueiro@inductiva.pttiago.santos@inductiva.pt283Saias, JoséQuaresma, PauloSalgueiro, PedroSantos, Tiagoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:44:01Zoai:dspace.uevora.pt:10174/5386Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:00:21.455004Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
title BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
spellingShingle BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
Saias, José
NLP
BI
Ontology
Question Answering
title_short BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
title_full BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
title_fullStr BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
title_full_unstemmed BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
title_sort BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
author Saias, José
author_facet Saias, José
Quaresma, Paulo
Salgueiro, Pedro
Santos, Tiago
author_role author
author2 Quaresma, Paulo
Salgueiro, Pedro
Santos, Tiago
author2_role author
author
author
dc.contributor.author.fl_str_mv Saias, José
Quaresma, Paulo
Salgueiro, Pedro
Santos, Tiago
dc.subject.por.fl_str_mv NLP
BI
Ontology
Question Answering
topic NLP
BI
Ontology
Question Answering
description Current technology facilitates access to the vast amount of information that is produced every day. Both individuals and companies are active consumers of data from the Web and other sources, and these data guide decision making. Due to the huge volume of data to be processed in a business context, managers rely on decision support systems to facilitate data analysis. OLAP tools are Business Intelligence solutions for multidimensional analysis of data, allowing the user to control the perspective and the degree of detail in each dimension of the analysis. A conventional OLAP system is configured to a set of analysis scenarios associated with multidimensional data cubes in the repository. To handle a more spontaneous query, not supported in these provided scenarios, one must have specialized technical skills in data analytics. This makes it very difficult for average users to be autonomous in analyzing their data, as they will always need the assistance of specialists. This article describes an ontology-based natural language interface whose goal is to simplify and make more flexible and intuitive the interaction between users and OLAP solutions. Instead of programming an MDX query, the user can freely write a question in his own human language. The system interprets this question by combining the requested information elements, and generates an answer from the OLAP repository.
publishDate 2012
dc.date.none.fl_str_mv 2012-10-29T10:50:30Z
2012-10-29
2012-09-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/5386
http://hdl.handle.net/10174/5386
https://doi.org/10.4236/iim.2012.45033
url http://hdl.handle.net/10174/5386
https://doi.org/10.4236/iim.2012.45033
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv J. Saias, P. Quaresma, P. Salgueiro and T. Santos, "BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis," Intelligent Information Management, Vol. 4 No. 5, 2012, pp. 225-230. doi: 10.4236/iim.2012.45033.
225-230
2160-5920
http://www.scirp.org/journal/PaperDownload.aspx?paperID=22898&returnUrl=http%3a%2f%2fwww.scirp.org%2fjournal%2fPaperInformation.aspx%3fpaperID%3d22898
4
5
jsaias@uevora.pt
pq@uevora.pt
pedro.salgueiro@inductiva.pt
tiago.santos@inductiva.pt
283
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dc.publisher.none.fl_str_mv Intelligent Information Management - SCIRP
publisher.none.fl_str_mv Intelligent Information Management - SCIRP
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.mail.fl_str_mv
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