Automatic Mapping of Business Process Models for Ontologies with an Associated Query System
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-030-26169-6_11 http://hdl.handle.net/11449/187963 |
Resumo: | Business process models are employed in organizational environments to improve the understanding in the interactions between different sectors. They also help to better visualize the interdependencies from the processes that compose these environments. However, the understanding of these models is often limited to the visual representation of their elements. In addition, as the business process models become more complex, their readability and navigability are affected. It is difficult to represent and properly understand the implicit knowledge and the interdependencies of these models. The use of ontologies as a representation of business process models opens a complementary perspective to provide semantics to business processes. Ontologies conceptualize and organize the information that is embedded and unstructured in the business processes and that must be explored. They structure the implicit knowledge that is present in the business processes, enabling the understanding of this knowledge by machine. They also facilitate the sharing and reuse of knowledge by various agents, human or artificial. In this context, this work presents a systematic process to automatically map a business process model in BPMN v2.0 to an ontology, allowing to consult information about the model. To automate this systematic process, the PM2ONTO tool was developed, aiming to generate the ontology in OWL automatically, and made available predefined queries, elaborated with SPARQL, for querying information about the business process models. |
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Automatic Mapping of Business Process Models for Ontologies with an Associated Query SystemBPMNBusiness process modelDocumentation of business process modelOntologyOWLSPARQLXPDLBusiness process models are employed in organizational environments to improve the understanding in the interactions between different sectors. They also help to better visualize the interdependencies from the processes that compose these environments. However, the understanding of these models is often limited to the visual representation of their elements. In addition, as the business process models become more complex, their readability and navigability are affected. It is difficult to represent and properly understand the implicit knowledge and the interdependencies of these models. The use of ontologies as a representation of business process models opens a complementary perspective to provide semantics to business processes. Ontologies conceptualize and organize the information that is embedded and unstructured in the business processes and that must be explored. They structure the implicit knowledge that is present in the business processes, enabling the understanding of this knowledge by machine. They also facilitate the sharing and reuse of knowledge by various agents, human or artificial. In this context, this work presents a systematic process to automatically map a business process model in BPMN v2.0 to an ontology, allowing to consult information about the model. To automate this systematic process, the PM2ONTO tool was developed, aiming to generate the ontology in OWL automatically, and made available predefined queries, elaborated with SPARQL, for querying information about the business process models.Institute of Geosciences and Exact Sciences (IGCE) São Paulo State University (Unesp)Institute of Geosciences and Exact Sciences (IGCE) São Paulo State University (Unesp)Universidade Estadual Paulista (Unesp)Riehl Figueiredo, Lukas [UNESP]Carvalho de Oliveira, Hilda [UNESP]2019-10-06T15:52:44Z2019-10-06T15:52:44Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject215-238http://dx.doi.org/10.1007/978-3-030-26169-6_11Lecture Notes in Business Information Processing, v. 363, p. 215-238.1865-13561865-1348http://hdl.handle.net/11449/18796310.1007/978-3-030-26169-6_112-s2.0-85070698671Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Business Information Processinginfo:eu-repo/semantics/openAccess2021-10-23T19:23:45Zoai:repositorio.unesp.br:11449/187963Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:13:30.874222Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Automatic Mapping of Business Process Models for Ontologies with an Associated Query System |
title |
Automatic Mapping of Business Process Models for Ontologies with an Associated Query System |
spellingShingle |
Automatic Mapping of Business Process Models for Ontologies with an Associated Query System Riehl Figueiredo, Lukas [UNESP] BPMN Business process model Documentation of business process model Ontology OWL SPARQL XPDL |
title_short |
Automatic Mapping of Business Process Models for Ontologies with an Associated Query System |
title_full |
Automatic Mapping of Business Process Models for Ontologies with an Associated Query System |
title_fullStr |
Automatic Mapping of Business Process Models for Ontologies with an Associated Query System |
title_full_unstemmed |
Automatic Mapping of Business Process Models for Ontologies with an Associated Query System |
title_sort |
Automatic Mapping of Business Process Models for Ontologies with an Associated Query System |
author |
Riehl Figueiredo, Lukas [UNESP] |
author_facet |
Riehl Figueiredo, Lukas [UNESP] Carvalho de Oliveira, Hilda [UNESP] |
author_role |
author |
author2 |
Carvalho de Oliveira, Hilda [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Riehl Figueiredo, Lukas [UNESP] Carvalho de Oliveira, Hilda [UNESP] |
dc.subject.por.fl_str_mv |
BPMN Business process model Documentation of business process model Ontology OWL SPARQL XPDL |
topic |
BPMN Business process model Documentation of business process model Ontology OWL SPARQL XPDL |
description |
Business process models are employed in organizational environments to improve the understanding in the interactions between different sectors. They also help to better visualize the interdependencies from the processes that compose these environments. However, the understanding of these models is often limited to the visual representation of their elements. In addition, as the business process models become more complex, their readability and navigability are affected. It is difficult to represent and properly understand the implicit knowledge and the interdependencies of these models. The use of ontologies as a representation of business process models opens a complementary perspective to provide semantics to business processes. Ontologies conceptualize and organize the information that is embedded and unstructured in the business processes and that must be explored. They structure the implicit knowledge that is present in the business processes, enabling the understanding of this knowledge by machine. They also facilitate the sharing and reuse of knowledge by various agents, human or artificial. In this context, this work presents a systematic process to automatically map a business process model in BPMN v2.0 to an ontology, allowing to consult information about the model. To automate this systematic process, the PM2ONTO tool was developed, aiming to generate the ontology in OWL automatically, and made available predefined queries, elaborated with SPARQL, for querying information about the business process models. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T15:52:44Z 2019-10-06T15:52:44Z 2019-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-030-26169-6_11 Lecture Notes in Business Information Processing, v. 363, p. 215-238. 1865-1356 1865-1348 http://hdl.handle.net/11449/187963 10.1007/978-3-030-26169-6_11 2-s2.0-85070698671 |
url |
http://dx.doi.org/10.1007/978-3-030-26169-6_11 http://hdl.handle.net/11449/187963 |
identifier_str_mv |
Lecture Notes in Business Information Processing, v. 363, p. 215-238. 1865-1356 1865-1348 10.1007/978-3-030-26169-6_11 2-s2.0-85070698671 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Lecture Notes in Business Information Processing |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
215-238 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129406046044160 |