Teorias e Ferramentas de apoio a Reparação de Alinhamento de Ontologias
Resumo
O compartilhamento e a interoperabilidade de informações são cruciais em várias áreas de conhecimento. Uma ferramenta útil para isso são as ontologias, as quais permitem alinhar termos de um mesmo domínio, visando interoperabilidade de informação. Contudo, processos de alinhamento automáticos nem sempre produzem resultados satisfatórios, necessitando de especialistas de domínio para corrigir as inconsistências. Este trabalho objetiva apoiar os especialistas no processo de reparação e revisão de alinhamento de ontologias, através de técnicas de visualização de informação, em um ambiente colaborativo. Esta pesquisa usa Design Science Research Methodology para conceber um sistema de informação que seja capaz apoiar os especialistas no processo de reparação e revisão de ontologias, permitindo analisar como e quais técnicas de visualização foram mais eficientes. A avaliação da proposta será feita através de abordagens quali-quantitativas, coletando métricas de reparação de ontologias e log de navegação dos usuários, além de um survey com a resposta dos participantes.
Palavras-chave:
Teorias, ferramentas, Ontologias, Reparação
Referências
Banouar, O. and Raghay, S. (2016). Interoperability of information systems through ontologies: State of art. International Journal of Computer Science and Information Security, 14(8):392.
Cheatham, M. and Hitzler, P. (2013). String similarity metrics for ontology alignment. In International semantic web conference, pages 294–309. Springer.
Classe, T., Araujo, R., and Xexéo, G. B. (2018). Process model game design: Uma ferramenta para apoio a sistematização de design de jogos digitais baseados em processos de negócio. English title: Process Model Game Design: A Tool to Support the Systematization of Digital Games Based on Business Process). In: XVII Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames 2018).
Cruz, I. F., Antonelli, F. P., and Stroe, C. (2009). Agreementmaker: efficient matching for large real-world schemas and ontologies. Proceedings of the VLDB Endowment, 2(2):1586–1589.
da Silva, J., Baião, F. A., and Revoredo, K. (2016). Alinhamento interativo de ontologias usando anti-padrões de alinhamento: Um primeiro experimento. In Anais do XII Simpósio Brasileiro de Sistemas de Informação, pages 208–215. SBC.
Davis, F. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. PhD thesis, MIT Sloan School of Management, MIT Sloan School of Management.
Dimara, E., Bezerianos, A., and Dragicevic, P. (2017). Conceptual and methodological issues in evaluating multidimensional visualizations for decision support. IEEE transactions on visualization and computer graphics, 24(1):749–759.
Dragisic, Z., Ivanova, V., Lambrix, P., Faria, D., Jiménez-Ruiz, E., and Pesquita, C. (2016). User validation in ontology alignment. In International Semantic Web Conference, pages 200–217. Springer.
Dragisic, Z., Ivanova, V., Li, H., and Lambrix, P. (2017). Experiences from the anatomy track in the ontology alignment evaluation initiative. Journal of biomedical semantics, 8(1):56.
Euzenat, J. (2014). First experiments in cultural alignment repair (extended version). In European Semantic Web Conference, pages 115–130. Springer.
Euzenat, J., Shvaiko, P., et al. (2007). Ontology matching, volume 18. Springer.
Falconer, S. M., Noy, N. F., and Storey, M.-A. D. (2006). Towards understanding the needs of cognitive support for ontology mapping. Ontology Matching, 225.
Falconer, S. M., Noy, N. F., and Storey, M.-A. D. (2007). Ontology mapping-a user survey. In OM. Citeseer.
Faria, D., Pesquita, C., Santos, E., Palmonari, M., Cruz, I. F., and Couto, F. M. (2013). The agreementmakerlight ontology matching system. In OTM Confederated International Conferences”On the Move to Meaningful Internet Systems, pages 527–541. Springer.
Fu, B., Noy, N. F., and Storey, M.-A. (2013). Indented tree or graph? a usability study of ontology visualization techniques in the context of class mapping evaluation. In International Semantic Web Conference, pages 117–134. Springer.
Goldschmidt, R. and Passos, E. (2005). Data mining: um guia prático. Gulf Professional Publishing.
Granitzer, M., Sabol, V., Onn, K. W., Lukose, D., and Tochtermann, K. (2010). Ontology alignment—a survey with focus on visually supported semi-automatic techniques. Future Internet, 2(3):238–258.
Guarino, N., Oberle, D., and Staab, S. (2009). What is an ontology?. inhandbook on ontologies (pp. 1-17).
Harrow, I., Balakrishnan, R., Jimenez-Ruiz, E., Jupp, S., Lomax, J., Reed, J., Romacker, M., Senger, C., Splendiani, A.,Wilson, J., andWoollard, P. (2019). Ontology mapping for semantically enabled applications. Drug discovery today, 24:2068–2075.
Harrow, I., Jiménez-Ruiz, E., Splendiani, A., Romacker, M., Woollard, P., Markel, S., Alam-Faruque, Y., Koch, M., Malone, J., and Waaler, A. (2017). Matching disease and phenotype ontologies in the ontology alignment evaluation initiative. Journal of biomedical semantics, 8(1):55.
Komorowski, M., Marshall, D., Salciccioli, J., and Crutain, Y. (2016). Exploratory Data Analysis, pages 185–203.
Li, H., Dragisic, Z., Faria, D., Ivanova, V., Jiménez-Ruiz, E., Lambrix, P., and Pesquita, C. (2019). User validation in ontology alignment: functional assessment and impact. The Knowledge Engineering Review, 34.
Li, Y., Stroe, C., and Cruz, I. F. (2015). Interactive visualization of large ontology matching results. In VOILA@ ISWC, page 37.
Massmann, S., Raunich, S., Aumüller, D., Arnold, P., and Rahm, E. (2011). Evolution of the coma match system. In Proceedings of the 6th International Conference on Ontology Matching-Volume 814, pages 49–60. CEUR-WS. org.
Meilicke, C. (2011). Alignment incoherence in ontology matching. PhD thesis, Universität Mannheim.
Meilicke, C., Stuckenschmidt, H., and Tamilin, A. (2008). Supporting manual mapping revision using logical reasoning. In AAAI, pages 1213–1218.
Nguyen, A., Gardner, L., and Sheridan, D. (2019). Towards ontology-based design science research for knowledge accumulation and evolution. In Proceedings of the 52nd Hawaii International Conference on System Sciences.
Peffers, K., Tuunanen, T., Rothenberger, M. A., and Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3):45–77.
Pesquita, C., Faria, D., Santos, E., and Couto, F. M. (2013). To repair or not to repair: reconciling correctness and coherence in ontology reference alignments. In Proc. 8th ISWC ontology matching workshop (OM), Sydney (AU), page this volume.
Recker, J. (2012). Scientific research in information systems: a beginner’s guide. Springer Science & Business Media.
Richer, M. H. and Clancey, W. J. (1985). Guidon-watch: A graphic interface for viewing a knowledge-based system. Technical report, Stanford University Department of Computer Science.
Saruladha, K., Aghila, G., and Sathiya, B. (2011). A comparative analysis of ontology and schema matching systems. International Journal of Computer Applications, 34(8):14– 21.
Schofield, P. N., Gkoutos, G. V., Gruenberger, M., Sundberg, J. P., and Hancock, J. M. (2010). Phenotype ontologies for mouse and man: bridging the semantic gap. Disease models & mechanisms, 3(5-6):281–289.
Shvaiko, P. and Euzenat, J. (2011). Ontology matching: state of the art and future challenges. IEEE Transactions on knowledge and data engineering, 25(1):158–176.
Cheatham, M. and Hitzler, P. (2013). String similarity metrics for ontology alignment. In International semantic web conference, pages 294–309. Springer.
Classe, T., Araujo, R., and Xexéo, G. B. (2018). Process model game design: Uma ferramenta para apoio a sistematização de design de jogos digitais baseados em processos de negócio. English title: Process Model Game Design: A Tool to Support the Systematization of Digital Games Based on Business Process). In: XVII Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames 2018).
Cruz, I. F., Antonelli, F. P., and Stroe, C. (2009). Agreementmaker: efficient matching for large real-world schemas and ontologies. Proceedings of the VLDB Endowment, 2(2):1586–1589.
da Silva, J., Baião, F. A., and Revoredo, K. (2016). Alinhamento interativo de ontologias usando anti-padrões de alinhamento: Um primeiro experimento. In Anais do XII Simpósio Brasileiro de Sistemas de Informação, pages 208–215. SBC.
Davis, F. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. PhD thesis, MIT Sloan School of Management, MIT Sloan School of Management.
Dimara, E., Bezerianos, A., and Dragicevic, P. (2017). Conceptual and methodological issues in evaluating multidimensional visualizations for decision support. IEEE transactions on visualization and computer graphics, 24(1):749–759.
Dragisic, Z., Ivanova, V., Lambrix, P., Faria, D., Jiménez-Ruiz, E., and Pesquita, C. (2016). User validation in ontology alignment. In International Semantic Web Conference, pages 200–217. Springer.
Dragisic, Z., Ivanova, V., Li, H., and Lambrix, P. (2017). Experiences from the anatomy track in the ontology alignment evaluation initiative. Journal of biomedical semantics, 8(1):56.
Euzenat, J. (2014). First experiments in cultural alignment repair (extended version). In European Semantic Web Conference, pages 115–130. Springer.
Euzenat, J., Shvaiko, P., et al. (2007). Ontology matching, volume 18. Springer.
Falconer, S. M., Noy, N. F., and Storey, M.-A. D. (2006). Towards understanding the needs of cognitive support for ontology mapping. Ontology Matching, 225.
Falconer, S. M., Noy, N. F., and Storey, M.-A. D. (2007). Ontology mapping-a user survey. In OM. Citeseer.
Faria, D., Pesquita, C., Santos, E., Palmonari, M., Cruz, I. F., and Couto, F. M. (2013). The agreementmakerlight ontology matching system. In OTM Confederated International Conferences”On the Move to Meaningful Internet Systems, pages 527–541. Springer.
Fu, B., Noy, N. F., and Storey, M.-A. (2013). Indented tree or graph? a usability study of ontology visualization techniques in the context of class mapping evaluation. In International Semantic Web Conference, pages 117–134. Springer.
Goldschmidt, R. and Passos, E. (2005). Data mining: um guia prático. Gulf Professional Publishing.
Granitzer, M., Sabol, V., Onn, K. W., Lukose, D., and Tochtermann, K. (2010). Ontology alignment—a survey with focus on visually supported semi-automatic techniques. Future Internet, 2(3):238–258.
Guarino, N., Oberle, D., and Staab, S. (2009). What is an ontology?. inhandbook on ontologies (pp. 1-17).
Harrow, I., Balakrishnan, R., Jimenez-Ruiz, E., Jupp, S., Lomax, J., Reed, J., Romacker, M., Senger, C., Splendiani, A.,Wilson, J., andWoollard, P. (2019). Ontology mapping for semantically enabled applications. Drug discovery today, 24:2068–2075.
Harrow, I., Jiménez-Ruiz, E., Splendiani, A., Romacker, M., Woollard, P., Markel, S., Alam-Faruque, Y., Koch, M., Malone, J., and Waaler, A. (2017). Matching disease and phenotype ontologies in the ontology alignment evaluation initiative. Journal of biomedical semantics, 8(1):55.
Komorowski, M., Marshall, D., Salciccioli, J., and Crutain, Y. (2016). Exploratory Data Analysis, pages 185–203.
Li, H., Dragisic, Z., Faria, D., Ivanova, V., Jiménez-Ruiz, E., Lambrix, P., and Pesquita, C. (2019). User validation in ontology alignment: functional assessment and impact. The Knowledge Engineering Review, 34.
Li, Y., Stroe, C., and Cruz, I. F. (2015). Interactive visualization of large ontology matching results. In VOILA@ ISWC, page 37.
Massmann, S., Raunich, S., Aumüller, D., Arnold, P., and Rahm, E. (2011). Evolution of the coma match system. In Proceedings of the 6th International Conference on Ontology Matching-Volume 814, pages 49–60. CEUR-WS. org.
Meilicke, C. (2011). Alignment incoherence in ontology matching. PhD thesis, Universität Mannheim.
Meilicke, C., Stuckenschmidt, H., and Tamilin, A. (2008). Supporting manual mapping revision using logical reasoning. In AAAI, pages 1213–1218.
Nguyen, A., Gardner, L., and Sheridan, D. (2019). Towards ontology-based design science research for knowledge accumulation and evolution. In Proceedings of the 52nd Hawaii International Conference on System Sciences.
Peffers, K., Tuunanen, T., Rothenberger, M. A., and Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3):45–77.
Pesquita, C., Faria, D., Santos, E., and Couto, F. M. (2013). To repair or not to repair: reconciling correctness and coherence in ontology reference alignments. In Proc. 8th ISWC ontology matching workshop (OM), Sydney (AU), page this volume.
Recker, J. (2012). Scientific research in information systems: a beginner’s guide. Springer Science & Business Media.
Richer, M. H. and Clancey, W. J. (1985). Guidon-watch: A graphic interface for viewing a knowledge-based system. Technical report, Stanford University Department of Computer Science.
Saruladha, K., Aghila, G., and Sathiya, B. (2011). A comparative analysis of ontology and schema matching systems. International Journal of Computer Applications, 34(8):14– 21.
Schofield, P. N., Gkoutos, G. V., Gruenberger, M., Sundberg, J. P., and Hancock, J. M. (2010). Phenotype ontologies for mouse and man: bridging the semantic gap. Disease models & mechanisms, 3(5-6):281–289.
Shvaiko, P. and Euzenat, J. (2011). Ontology matching: state of the art and future challenges. IEEE Transactions on knowledge and data engineering, 25(1):158–176.
Publicado
03/11/2020
Como Citar
SANTOS, Miriam; MELLO, Carlos; CLASSE, Tadeu.
Teorias e Ferramentas de apoio a Reparação de Alinhamento de Ontologias. In: WORKSHOP DE TESES E DISSERTAÇÕES EM SISTEMAS DE INFORMAÇÃO - SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 16. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 67-75.
DOI: https://doi.org/10.5753/sbsi.2020.13129.
