An ontology-based development of activity knowledge and system design

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Abstract

This paper describes an ontology-based development of activity knowledge on a domain and the system we developed to support it. To understand human activities, it is important to explicitly describe the knowledge of each domain. However, there are some issues of knowledge development: the establishment of the efficient method and process, the improvement of the readability for humans and machines, and the regular improvement of knowledge after development. We thus introduced a process of knowledge development, which uses two different types of knowledge representation (activity knowledge and domain ontology) on a domain that requires technical skills. In this study, we practiced the process in the music field to investigate the effects of developing activity knowledge based on a domain ontology. The results showed that it enables deep understanding and extension of knowledge. Furthermore, we designed a system to help the ontology-based development of activity knowledge. We rewrote the activity knowledge using the system and received preliminary results on term control.

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Iino, N., Takeda, H., & Nishimura, T. (2020). An ontology-based development of activity knowledge and system design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12032 LNCS, pp. 369–384). Springer. https://doi.org/10.1007/978-3-030-41407-8_24

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