Ligações Semânticas Utilizando Predicados SKOS
Resumo
Glossários desempenham um papel central para a melhoria das relações semânticas entre fontes de dados heterogêneas e para uma melhor compreensão das definições no domínio da Extração e Produção de Petróleo (E&P). Este trabalho propõe o enriquecimento semântico entre glossários utilizando o vocabulário SKOS e as consultas SPARQL. Os resultados foram satisfatórios, gerando predicados skos:exactMatch, skos:broader, skos:narrower e skos:related, o que sugere que os métodos automáticos podem ser usados para melhorar a qualidade dos mapeamentos terminológicos.
Palavras-chave:
Glossários, Enriquecimento Semântico, SKOS, SPARQL
Referências
Avila, R. and Soares, J. M. (2012). Concepção de ferramenta de apoio à correção de questões dissertativas com base na adaptação de algoritmos de comparação e busca textual combinados com técnicas de pré-processamento de textos. In RENOTE Revista Novas Tecnologias na Educação, volume 10.
Bizer, C., Cyganiak, R., and Gauß, T. (2007). The rdf book mashup: from web apis to a web of data. In ESWC’07 Workshop on Scripting for the Semantic Web, volume 1.
Cohen, W. W., Ravikumar, P., and Fienberg, S. E. (2003). A comparison of string distance metrics for name-matching tasks. In Proceedings of the IJCAI-2003 Workshop on, pages 73–78, Acapulco, Mexico.
d’Aquin, M., Kronberger, G., and Suárez-Figueroa, M. C. (2012). Combining data mining and ontology engineering to enrich ontologies and linked data. In KNOW@LOD, volume 868 of CEUR Workshop Proceedings, pages 19–24. CEUR-WS.org.
Ge, J. and Chen, Z. (2010). Constructing ontology-based petroleum exploration database for knowledge discovery. Trans Tech Publications, Switzerland, 20-23:975–980.
Heath, T. and Bizer, C. (2011). Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool, 1st edition.
Kazi, A. and Kurian, D. (2014). An ontology based approach to data mining. In International Journal of Engineering Development and Research (IJEDR), volume 2.
Lopes, G., Vidal, V., and Oliveira, M., editors (2016). Construção de Linked Data Mashup para Integração de Dados da Saúde Pública. SBC - XXXI Simpósio Brasileiro de Banco de Dados.
Miles, A., Matthews, B., Wilson, M., and Brickley, D. (2005). Skos core: Simple knowledge organisation for the web. In Proceedings of the 2005 International Conference on Dublin Core and Metadata Applications: Vocabularies in Practice, DCMI ’05, pages 1:1–1:9.
Miranda, S., Orciuoli, F., and Sampson, D. G. (2016). A skos-based framework for subject ontologies to improve learning experiences. Comput. Hum. Behav., 61(C):609–621.
Prud’hommeaux, E. and Seaborne, A. (2008). SPARQL Query Language for RDF. W3C Recommendation.
Rahm, A. T. D. A. E., Thor, D., and Aumueller, E. (2007). Data integration support for mashups. In Workshops at the Twenty-Second AAAI Conference on Artificial Intelligence.
Tran, T. N., Truong, D. K., Hoang, H. H., and Le, T. M. (2014). Linked Data Mashups: A Review on Technologies, Applications and Challenges, pages 253–262. Springer International Publishing, Cham.
van Ossenbruggen, J., Hildebrand, M., and de Boer, V. (2011). Interactive vocabulary alignment. In Gradmann, S., Borri, F., Meghini, C., and Schuldt, H., editors, TPDL, volume 6966 of Lecture Notes in Computer Science, pages 296–307. Springer.
Volz, J., Bizer, C., Gaedke, M., and Kobilarov, G. (2009). Silk - a link discovery framework for the web of data. In Bizer, C., Heath, T., Berners-Lee, T., and Idehen, K., editors, LDOW, volume 538 of CEUR Workshop Proceedings. CEUR-WS.org.
Zapilko, B., Schaible, J., Mayr, P., and Mathiak, B. (2012). Thesoz: A skos representation of the thesaurus for the social sciences. CoRR, abs/1209.5850.
Bizer, C., Cyganiak, R., and Gauß, T. (2007). The rdf book mashup: from web apis to a web of data. In ESWC’07 Workshop on Scripting for the Semantic Web, volume 1.
Cohen, W. W., Ravikumar, P., and Fienberg, S. E. (2003). A comparison of string distance metrics for name-matching tasks. In Proceedings of the IJCAI-2003 Workshop on, pages 73–78, Acapulco, Mexico.
d’Aquin, M., Kronberger, G., and Suárez-Figueroa, M. C. (2012). Combining data mining and ontology engineering to enrich ontologies and linked data. In KNOW@LOD, volume 868 of CEUR Workshop Proceedings, pages 19–24. CEUR-WS.org.
Ge, J. and Chen, Z. (2010). Constructing ontology-based petroleum exploration database for knowledge discovery. Trans Tech Publications, Switzerland, 20-23:975–980.
Heath, T. and Bizer, C. (2011). Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool, 1st edition.
Kazi, A. and Kurian, D. (2014). An ontology based approach to data mining. In International Journal of Engineering Development and Research (IJEDR), volume 2.
Lopes, G., Vidal, V., and Oliveira, M., editors (2016). Construção de Linked Data Mashup para Integração de Dados da Saúde Pública. SBC - XXXI Simpósio Brasileiro de Banco de Dados.
Miles, A., Matthews, B., Wilson, M., and Brickley, D. (2005). Skos core: Simple knowledge organisation for the web. In Proceedings of the 2005 International Conference on Dublin Core and Metadata Applications: Vocabularies in Practice, DCMI ’05, pages 1:1–1:9.
Miranda, S., Orciuoli, F., and Sampson, D. G. (2016). A skos-based framework for subject ontologies to improve learning experiences. Comput. Hum. Behav., 61(C):609–621.
Prud’hommeaux, E. and Seaborne, A. (2008). SPARQL Query Language for RDF. W3C Recommendation.
Rahm, A. T. D. A. E., Thor, D., and Aumueller, E. (2007). Data integration support for mashups. In Workshops at the Twenty-Second AAAI Conference on Artificial Intelligence.
Tran, T. N., Truong, D. K., Hoang, H. H., and Le, T. M. (2014). Linked Data Mashups: A Review on Technologies, Applications and Challenges, pages 253–262. Springer International Publishing, Cham.
van Ossenbruggen, J., Hildebrand, M., and de Boer, V. (2011). Interactive vocabulary alignment. In Gradmann, S., Borri, F., Meghini, C., and Schuldt, H., editors, TPDL, volume 6966 of Lecture Notes in Computer Science, pages 296–307. Springer.
Volz, J., Bizer, C., Gaedke, M., and Kobilarov, G. (2009). Silk - a link discovery framework for the web of data. In Bizer, C., Heath, T., Berners-Lee, T., and Idehen, K., editors, LDOW, volume 538 of CEUR Workshop Proceedings. CEUR-WS.org.
Zapilko, B., Schaible, J., Mayr, P., and Mathiak, B. (2012). Thesoz: A skos representation of the thesaurus for the social sciences. CoRR, abs/1209.5850.
Publicado
02/10/2017
Como Citar
ÁVILA, Ricardo; SANTOS, Salomão; ARAÚJO, David; VIDAL, Vânia; MACÊDO, José.
Ligações Semânticas Utilizando Predicados SKOS. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 32. , 2017, Uberlândia/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2017
.
p. 88-99.
ISSN 2763-8979.
DOI: https://doi.org/10.5753/sbbd.2017.170799.
