Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches

Detalhes bibliográficos
Autor(a) principal: Lima, Beatriz Fonseca de
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/51944
Resumo: Tese de mestrado, Ciência de Dados, Universidade de Lisboa, Faculdade de Ciências, 2021
id RCAP_1178861a5b45cbf5116f224b330140ee
oai_identifier_str oai:repositorio.ul.pt:10451/51944
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Breaking rules: taking Complex Ontology Alignment beyond rule­based approachesAlinhamento de OntologiasAlinhamento Complexo de OntologiasRegras de AssociaçãoTeses de mestrado - 2021Departamento de InformáticaTese de mestrado, Ciência de Dados, Universidade de Lisboa, Faculdade de Ciências, 2021As ontologies are developed in an uncoordinated manner, differences in scope and design compromise interoperability. Ontology matching is critical to address this semantic heterogeneity problem, as it finds correspondences that enable integrating data across the Semantic Web. One of the biggest challenges in this field is that ontology schemas often differ conceptually, and therefore reconciling many real¬world ontology pairs (e.g., in geography or biomedicine) involves establishing complex mappings that contain multiple entities from each ontology. Yet, for the most part, ontology matching algorithms are restricted to finding simple equivalence mappings between ontology entities. This work presents novel algorithms for Complex Ontology Alignment based on Association Rule Mining over a set of shared instances between two ontologies. Its strategy relies on a targeted search for known complex patterns in instance and schema data, reducing the search space. This allows the application of semantic¬based filtering algorithms tailored to each kind of pattern, to select and refine the most relevant mappings. The algorithms were evaluated in OAEI Complex track datasets under two automated approaches: OAEI’s entity¬based approach and a novel element¬overlap–based approach which was developed in the context of this work. The algorithms were able to find mappings spanning eight distinct complex patterns, as well as combinations of patterns through disjunction and conjunction. They were able to efficiently reduce the search space and showed competitive performance results comparing to the State of the Art of complex alignment systems. As for the comparative analysis of evaluation methodologies, the proposed element¬overlap–based evaluation strategy was shown to be more accurate and interpretable than the reference-based automatic alternative, although none of the existing strategies fully address the challenges discussed in the literature. For future work, it would be interesting to extend the algorithms to cover more complex patterns and combine them with lexical approaches.Pesquita, Cátia, 1980-Faria, Daniel Pedro de Jesus, 1981-Repositório da Universidade de LisboaLima, Beatriz Fonseca de2022-03-24T10:12:07Z202120212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/51944TID:202934063enginfo: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:RCAAP2023-11-08T16:56:57Zoai:repositorio.ul.pt:10451/51944Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:03:08.162831Repositório 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 Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches
title Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches
spellingShingle Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches
Lima, Beatriz Fonseca de
Alinhamento de Ontologias
Alinhamento Complexo de Ontologias
Regras de Associação
Teses de mestrado - 2021
Departamento de Informática
title_short Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches
title_full Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches
title_fullStr Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches
title_full_unstemmed Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches
title_sort Breaking rules: taking Complex Ontology Alignment beyond rule­based approaches
author Lima, Beatriz Fonseca de
author_facet Lima, Beatriz Fonseca de
author_role author
dc.contributor.none.fl_str_mv Pesquita, Cátia, 1980-
Faria, Daniel Pedro de Jesus, 1981-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Lima, Beatriz Fonseca de
dc.subject.por.fl_str_mv Alinhamento de Ontologias
Alinhamento Complexo de Ontologias
Regras de Associação
Teses de mestrado - 2021
Departamento de Informática
topic Alinhamento de Ontologias
Alinhamento Complexo de Ontologias
Regras de Associação
Teses de mestrado - 2021
Departamento de Informática
description Tese de mestrado, Ciência de Dados, Universidade de Lisboa, Faculdade de Ciências, 2021
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021-01-01T00:00:00Z
2022-03-24T10:12:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/51944
TID:202934063
url http://hdl.handle.net/10451/51944
identifier_str_mv TID:202934063
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799134581864005632

Registros relacionados