Domain Ontology Evaluation in Software Development: Questionnaire Proposal
Resumo
Knowledge has become increasingly important as a resource for organizations. In line with this, there arises the need for the classification and organization of knowledge bases in knowledge-oriented organizations. In this regard, ontologies support the process of structuring and classifying information, facilitating and simplifying the continuous data processing. The present work aims to propose a questionnaire for the validation of a domain ontology.
Referências
Almeida, M. B. and Barbosa, R. R. (2009). Ontologies in knowledge management support: A case study. Journal of the American Society for Information Science and Technology, 60(10):2032–2047.
Besheli, P. R. (2018). The pattern of patterns: What is a pattern in conceptual modeling? In VMBO, pages 99–106.
Bodenreider, O. (2018). Evaluating the quality and interoperability of biomedical termi nologies april 2018.
Chalmeta, R. and Pazos, V. (2015). A step-by-step methodology for enterprise interoperability projects. Enterprise Information Systems, 9(4):436–464.
Codescu, M., Kuksa, E., Kutz, O., Mossakowski, T., and Neuhaus, F. (2017). Ontohub: A semantic repository engine for heterogeneous ontologies. Applied Ontology, 12(3-4):275–298.
Devi, M. S. and Mittal, H. (2016). Machine learning techniques with ontology for sub jective answer evaluation. arXiv preprint arXiv:1605.0244
Duque-Ramos, A., Fernández-Breis, J. T., Stevens, R., and Aussenac-Gilles, N. (2011). Oquare: A square-based approach for evaluating the quality of ontologies. Journal of research and practice in information technology, 43(2):159–176.
Fritzsche, D., Grüninger, M., Baclawski, K., Bennett, M., Berg-Cross, G., Schneider, T., Sriram, R., Underwood, M., and Westerinen, A. (2017). Ontology summit 2016 communique: Ontologies within semantic interoperability ecosystems. Applied Ontology, 12(2):91–111.
Gómez-Pérez, A. (1996). Towards a framework to verify knowledge sharing technology. Expert Systems with applications, 11(4):519–529.
Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing? International journal of human-computer studies, 43(5-6):907–928.
Grüninger, M., Hahmann, T., Hashemi, A., Ong, D., and Ozgovde, A. (2012). Modular first-order ontologies via repositories. Applied Ontology, 7(2):169–209.
Guarino, N. and Welty, C. (2002). Evaluating ontological decisions with ontoclean. Com munications of the ACM, 45(2):61–65.
Hepp, M. (2007). Possible ontologies: How reality constrains the development of relevant ontologies. IEEE Internet Computing, 11(1):90–96.
Hepp, M., Bachlechner, D., and Siorpaes, K. (2006). Ontowiki: community-driven ontology engineering and ontology usage based on wikis. In Proceedings of the 2006 international symposium on Wikis, pages 143–144.
Keet, C. M., Suarez-Figueroa, M. C., and Poveda-Villalón, M. (2013). The current landscape of pitfalls in ontologies.
Khan, Z. C. and Keet, C. M. (2016). Romulus: The repository of ontologies for multiple uses populated with mediated foundational ontologies. Journal on Data Semantics, 5(1):19–36
Larsen, K. R., Michie, S., Hekler, E. B., Gibson, B., Spruijt-Metz, D., Ahern, D., Cole Lewis, H., Ellis, R. J. B., Hesse, B., Moser, R. P., et al. (2017). Behavior change interventions: the potential of ontologies for advancing science and practice. Journal of behavioral medicine, 40:6–22.
Lozano-Tello, A. and Gómez-Pérez, A. (2004). Ontometric: A method to choose the appropriate ontology. Journal of Database Management (JDM), 15(2):1–18.
Maedche, A. and Volz, R. (2001). The ontology extraction & maintenance framework text-to-onto. In Proc. Workshop on Integrating Data Mining and Knowledge Management, USA, pages 1–12.
McDaniel, M. and Storey, V. C. (2019). Evaluating domain ontologies: clarification, classification, and challenges. ACM Computing Surveys (CSUR), 52(4):1–44.
Mossakowski, T., Kutz, O., and Codescu, M. (2014). A semantic repository for heterogeneous ontologies.
Neuhaus, F., Florescu, E., Galton, A., Gruninger, M., Guarino, N., Obrst, L., Sanchez, A., Vizedom, A., Yim, P., and Smith, B. (2011). Creating the ontologists of the future. Applied Ontology, 6(1):91–98.
Neuhaus, F., Vizedom, A., Baclawski, K., Bennett, M., Denny, M., Grüninger, M., Hashemi, A., Longstreth, T., Obrst, L., Ray, S., et al. (2013). Towards ontology evaluation across the life cycle.
Noy, N. F., Shah, N. H., Whetzel, P. L., Dai, B., Dorf, M., Griffith, N., Jonquet, C., Rubin, D. L., Storey, M.-A., Chute, C. G., et al. (2009). Bioportal: ontologies and integrated data resources at the click of a mouse. Nucleic acids research, 37(suppl 2):W170–W173.
Orme, A. M., Tao, H., and Etzkorn, L. H. (2006). Coupling metrics for ontology-based system. IEEE software, 23(2):102–108.
Porzel, R. and Malaka, R. (2004). A task-based approach for ontology evaluation. In ECAI Workshop on Ontology Learning and Population, Valencia, Spain, pages 1–6. Citeseer Valencia, Spain.
Poveda-Villalón, M., Suárez-Figueroa, M. C., and Gómez-Pérez, A. (2012). Validating ontologies with oops! In Knowledge Engineering and Knowledge Management: 18th International Conference, EKAW 2012, Galway City, Ireland, October 8-12, 2012. Proceedings 18, pages 267–281. Springer.
Roman, D., Keller, U., Lausen, H., De Bruijn, J., Lara, R., Stollberg, M., Polleres, A., Feier, C., Bussler, C., and Fensel, D. (2005). Web service modeling ontology. Applied ontology, 1(1):77–106.
Schober, D., Tudose, I., Svatek, V., and Boeker, M. (2012). Ontocheck: verifying on tology naming conventions and metadata completeness in protégé 4. In Journal of biomedical semantics, volume 3, pages 1–10. BioMed Central.
Stamper, R., Liu, K., Hafkamp, M., and Ades, Y. (2000). Understanding the roles of signs and norms in organizations-a semiotic approach to information systems design. Behaviour & information technology, 19(1):15–27.
Tartir, S., Arpinar, I. B., and Sheth, A. P. (2010). Ontological evaluation and validation. Theory and applications of ontology: Computer applications, pages 115–130
Vandenbussche, P.-Y., Atemezing, G. A., Poveda-Villalon, M., and Vatant, B. (2017). Linked open vocabularies (lov): a gateway to reusable semantic vocabularies on the web. Semantic Web, 8(3):437–452.
Vrandečić, D. (2009). Ontology evaluation. In Handbook on ontologies, pages 293–313. Springer.
Weber, R. A. (2002). Ontological issues in accounting information systems.
Yao, H., Orme, A. M., and Etzkorn, L. (2005). Cohesion metrics for ontology design and application. Journal of Computer science, 1(1):107–113
Besheli, P. R. (2018). The pattern of patterns: What is a pattern in conceptual modeling? In VMBO, pages 99–106.
Bodenreider, O. (2018). Evaluating the quality and interoperability of biomedical termi nologies april 2018.
Chalmeta, R. and Pazos, V. (2015). A step-by-step methodology for enterprise interoperability projects. Enterprise Information Systems, 9(4):436–464.
Codescu, M., Kuksa, E., Kutz, O., Mossakowski, T., and Neuhaus, F. (2017). Ontohub: A semantic repository engine for heterogeneous ontologies. Applied Ontology, 12(3-4):275–298.
Devi, M. S. and Mittal, H. (2016). Machine learning techniques with ontology for sub jective answer evaluation. arXiv preprint arXiv:1605.0244
Duque-Ramos, A., Fernández-Breis, J. T., Stevens, R., and Aussenac-Gilles, N. (2011). Oquare: A square-based approach for evaluating the quality of ontologies. Journal of research and practice in information technology, 43(2):159–176.
Fritzsche, D., Grüninger, M., Baclawski, K., Bennett, M., Berg-Cross, G., Schneider, T., Sriram, R., Underwood, M., and Westerinen, A. (2017). Ontology summit 2016 communique: Ontologies within semantic interoperability ecosystems. Applied Ontology, 12(2):91–111.
Gómez-Pérez, A. (1996). Towards a framework to verify knowledge sharing technology. Expert Systems with applications, 11(4):519–529.
Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing? International journal of human-computer studies, 43(5-6):907–928.
Grüninger, M., Hahmann, T., Hashemi, A., Ong, D., and Ozgovde, A. (2012). Modular first-order ontologies via repositories. Applied Ontology, 7(2):169–209.
Guarino, N. and Welty, C. (2002). Evaluating ontological decisions with ontoclean. Com munications of the ACM, 45(2):61–65.
Hepp, M. (2007). Possible ontologies: How reality constrains the development of relevant ontologies. IEEE Internet Computing, 11(1):90–96.
Hepp, M., Bachlechner, D., and Siorpaes, K. (2006). Ontowiki: community-driven ontology engineering and ontology usage based on wikis. In Proceedings of the 2006 international symposium on Wikis, pages 143–144.
Keet, C. M., Suarez-Figueroa, M. C., and Poveda-Villalón, M. (2013). The current landscape of pitfalls in ontologies.
Khan, Z. C. and Keet, C. M. (2016). Romulus: The repository of ontologies for multiple uses populated with mediated foundational ontologies. Journal on Data Semantics, 5(1):19–36
Larsen, K. R., Michie, S., Hekler, E. B., Gibson, B., Spruijt-Metz, D., Ahern, D., Cole Lewis, H., Ellis, R. J. B., Hesse, B., Moser, R. P., et al. (2017). Behavior change interventions: the potential of ontologies for advancing science and practice. Journal of behavioral medicine, 40:6–22.
Lozano-Tello, A. and Gómez-Pérez, A. (2004). Ontometric: A method to choose the appropriate ontology. Journal of Database Management (JDM), 15(2):1–18.
Maedche, A. and Volz, R. (2001). The ontology extraction & maintenance framework text-to-onto. In Proc. Workshop on Integrating Data Mining and Knowledge Management, USA, pages 1–12.
McDaniel, M. and Storey, V. C. (2019). Evaluating domain ontologies: clarification, classification, and challenges. ACM Computing Surveys (CSUR), 52(4):1–44.
Mossakowski, T., Kutz, O., and Codescu, M. (2014). A semantic repository for heterogeneous ontologies.
Neuhaus, F., Florescu, E., Galton, A., Gruninger, M., Guarino, N., Obrst, L., Sanchez, A., Vizedom, A., Yim, P., and Smith, B. (2011). Creating the ontologists of the future. Applied Ontology, 6(1):91–98.
Neuhaus, F., Vizedom, A., Baclawski, K., Bennett, M., Denny, M., Grüninger, M., Hashemi, A., Longstreth, T., Obrst, L., Ray, S., et al. (2013). Towards ontology evaluation across the life cycle.
Noy, N. F., Shah, N. H., Whetzel, P. L., Dai, B., Dorf, M., Griffith, N., Jonquet, C., Rubin, D. L., Storey, M.-A., Chute, C. G., et al. (2009). Bioportal: ontologies and integrated data resources at the click of a mouse. Nucleic acids research, 37(suppl 2):W170–W173.
Orme, A. M., Tao, H., and Etzkorn, L. H. (2006). Coupling metrics for ontology-based system. IEEE software, 23(2):102–108.
Porzel, R. and Malaka, R. (2004). A task-based approach for ontology evaluation. In ECAI Workshop on Ontology Learning and Population, Valencia, Spain, pages 1–6. Citeseer Valencia, Spain.
Poveda-Villalón, M., Suárez-Figueroa, M. C., and Gómez-Pérez, A. (2012). Validating ontologies with oops! In Knowledge Engineering and Knowledge Management: 18th International Conference, EKAW 2012, Galway City, Ireland, October 8-12, 2012. Proceedings 18, pages 267–281. Springer.
Roman, D., Keller, U., Lausen, H., De Bruijn, J., Lara, R., Stollberg, M., Polleres, A., Feier, C., Bussler, C., and Fensel, D. (2005). Web service modeling ontology. Applied ontology, 1(1):77–106.
Schober, D., Tudose, I., Svatek, V., and Boeker, M. (2012). Ontocheck: verifying on tology naming conventions and metadata completeness in protégé 4. In Journal of biomedical semantics, volume 3, pages 1–10. BioMed Central.
Stamper, R., Liu, K., Hafkamp, M., and Ades, Y. (2000). Understanding the roles of signs and norms in organizations-a semiotic approach to information systems design. Behaviour & information technology, 19(1):15–27.
Tartir, S., Arpinar, I. B., and Sheth, A. P. (2010). Ontological evaluation and validation. Theory and applications of ontology: Computer applications, pages 115–130
Vandenbussche, P.-Y., Atemezing, G. A., Poveda-Villalon, M., and Vatant, B. (2017). Linked open vocabularies (lov): a gateway to reusable semantic vocabularies on the web. Semantic Web, 8(3):437–452.
Vrandečić, D. (2009). Ontology evaluation. In Handbook on ontologies, pages 293–313. Springer.
Weber, R. A. (2002). Ontological issues in accounting information systems.
Yao, H., Orme, A. M., and Etzkorn, L. (2005). Cohesion metrics for ontology design and application. Journal of Computer science, 1(1):107–113
Publicado
06/12/2023
Como Citar
LAZARETTI, Maria Gabriela Costa; TENÓRIO JUNIOR, Nelson Nunes; TEIXEIRA, Thaise Moser.
Domain Ontology Evaluation in Software Development: Questionnaire Proposal. In: ESCOLA REGIONAL DE ENGENHARIA DE SOFTWARE (ERES), 7. , 2023, Maringá/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 328-337.
DOI: https://doi.org/10.5753/eres.2023.237334.
