Practice and Analysis of Knowledge Construction using a Domain Ontology and Procedural Knowledge Practice of Knowledge Construction on Musical Instrument Performance
This paper describes the practice of knowledge construction using a domain ontology and procedural knowledge in guitar performance. Domain ontologies are created to understand and reason the domain knowledge. However, most of them are difficult to understand ontological logic and languages for domai...
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| Published in | Transactions of the Japanese Society for Artificial Intelligence Vol. 35; no. 1; pp. A-J44_1 - 12 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
Tokyo
The Japanese Society for Artificial Intelligence
01.01.2020
Japan Science and Technology Agency |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1346-0714 1346-8030 |
| DOI | 10.1527/tjsai.A-J44 |
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| Abstract | This paper describes the practice of knowledge construction using a domain ontology and procedural knowledge in guitar performance. Domain ontologies are created to understand and reason the domain knowledge. However, most of them are difficult to understand ontological logic and languages for domain experts. It is important to consider the different types of knowledge representation to connect ontology experts and domain experts. In this study, we verified the effect of the knowledge construction of a domain using a domain ontology and procedural knowledge. We focused on musical instrument performance and used the knowledge of classical guitar which requires many techniques. We practiced the following processes: (1)Constructed procedural knowledge described actions of each guitar rendition in detail, (2)Developed the Guitar Rendition Ontology based on the procedural knowledge, and (3)Reconstructed the procedural knowledge with seeing the ontology by domain experts, and carried out questionnaires to them. As a result, the knowledge was increased and modified appropriately, and we received positive answers about the usefulness of the method. Constructing the domain knowledge using the two types of knowledge representation enables following aspects: (1) Domain experts can construct procedural knowledge intuitively by defining description contents and format, (2) Ontology experts can efficiently construct a domain ontology based on the procedural knowledge and (3) Domain experts can re-construct procedural knowledge with higher consistency and knowledge processing by using domain ontology together. |
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| AbstractList | This paper describes the practice of knowledge construction using a domain ontology and procedural knowledge in guitar performance. Domain ontologies are created to understand and reason the domain knowledge. However, most of them are difficult to understand ontological logic and languages for domain experts. It is important to consider the different types of knowledge representation to connect ontology experts and domain experts. In this study, we verified the effect of the knowledge construction of a domain using a domain ontology and procedural knowledge. We focused on musical instrument performance and used the knowledge of classical guitar which requires many techniques. We practiced the following processes: (1)Constructed procedural knowledge described actions of each guitar rendition in detail, (2)Developed the Guitar Rendition Ontology based on the procedural knowledge, and (3)Reconstructed the procedural knowledge with seeing the ontology by domain experts, and carried out questionnaires to them. As a result, the knowledge was increased and modified appropriately, and we received positive answers about the usefulness of the method. Constructing the domain knowledge using the two types of knowledge representation enables following aspects: (1) Domain experts can construct procedural knowledge intuitively by defining description contents and format, (2) Ontology experts can efficiently construct a domain ontology based on the procedural knowledge and (3) Domain experts can re-construct procedural knowledge with higher consistency and knowledge processing by using domain ontology together. |
| Author | Iino, Nami Fukuda, Ken Nishimura, Satoshi Nishimura, Takuichi Takeda, Hideaki |
| Author_xml | – sequence: 1 fullname: Fukuda, Ken organization: Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology – sequence: 1 fullname: Takeda, Hideaki organization: National Institute of Informatics – sequence: 1 fullname: Nishimura, Satoshi organization: Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology – sequence: 1 fullname: Iino, Nami organization: RIKEN Center for Advanced Intelligence Project, Institute of Physical and Chemical Research – sequence: 1 fullname: Nishimura, Takuichi organization: Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology |
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| Cites_doi | 10.1109/ICDMW.2017.82 10.1186/1471-2105-13-S1-S5 10.3233/AO-170183 10.1038/75556 10.1109/ICOSC.2019.8665532 10.1016/j.cageo.2004.12.004 10.1017/S0269888900007797 10.20965/jaciii.2013.p0208 |
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| References_xml | – reference: [Iino 19]Iino, N., Nishimura, S., Nishimura, T., Fukuda, K. and Takeda, H.: The guitar rendition ontology for teaching and learning support, IEEE 13th International Conference on Semantic Computing (2019) – reference: [Uschold 96]Uschold, R. and Gruninger, M.: Ontologies: Principles, methods and applications, Knowledge Engineering Review, Vol.11, Issue 2, pp.93-155 (1996) – reference: [溝口 99]溝口理一郎: オントロジー研究の基礎と応用, 人工知能学会誌, Vol.14, No.6, pp.977-988 (1999) – reference: [Yamagata 19]Yamagata, Y., Igarashi Y., Nakatsu N. and Yamada, H.: TXPO: A toxic process ontology for better understanding of drug-induced liver injury, 10th International Conference on Biomedical Ontology (2019) – reference: [Sarker 16]Sarker, M.K., Krisnadhi, A.A. and Hitzler, P.: OWLAx: A Protege plugin to support ontology axiomatization through diagramming, The 15th International Semantic Web Conference (2016) – reference: [西村 17]西村悟史, 大谷博, 畠山直人, 長谷部希恵子, 福田賢一郎, 來村徳信, 溝口理一郎, 西村拓一: 現場主体の“知識発現”方法の提案, 人工知能学会論文誌, Vol.32, No.4, pp.C-G95_1-15 (2017) – reference: [笹嶋 12]笹嶋宗彦, 西村悟史, 來村徳信, ウイリアムソン彰子, 木下智香子, 服部兼敏, 溝口理一郎: 看護手順知識の習得を支援するタブレット型ツール CHARM Pad の試作, 人工知能学会研究会資料, 第27回セマンティックウェブとオントロジー研究会, SIG-SWO-A1201-06 (2012) – reference: [Iino 17]Iino, N., Nishimura, S., Fukuda, K., Watanabe, K., Kristina, J. and Nishimura, T.: Development and use of an activity model based on structured knowledge -A music teaching support system-, The 5th International Workshop on the Market of Data, IEEE International Conference on Data Mining (2017) – reference: [Westerinen 17]Westerinen, A. and Tauber, R.: Ontology development by domain experts (without using the "O" word), Applied Ontology, Vol.12, No.3-4, pp.299-311 (2017) – reference: [Nezafati 07]Nezafati, N., Khadivar, A., Afarideh, E. and Jalali S.M.J.: A method for human driven knowledge acquisition (case study in a petrochemical company), IEEE International Conference on Industrial Engineering and Engineering (2007) – reference: [Gruninger 95]Gruninger, M. and Fox, M.S.: Methodology for the design and evaluation of ontological issues in knowledge sharing, Workshop on Basic Ontological Issues in Knowledge Sharing, IJCAI-95 (1995) – reference: [朱 19]朱成敏, 小出誠二, 武田英明, 法隆大輔, 竹崎あかね, 吉田智一: 農業ナレッジグラフの構築に関する考察による領域ナレッジグラフの構築モデルの提案, 人工知能学会研究会資料, 第47回セマンティックウェブとオントロジー研究会, Vol.47, No.10 (2019) – reference: [川村 19]川村隆浩, 江上周作, 田村光太郎, 外園康智, 鵜飼孝典, 小柳佑介, 西野文人, 岡嶋成司 , 村上勝彦, 高松邦彦, 杉浦あおい, 白松俊, 張翔宇, 古崎晃司: 第1回ナレッジグラフ推論チャレンジ 2018開催報告--説明性のある人工知能システムを目指して--, 人工知能, Vol.34, No.3 (2019) – reference: [青山 18]青山和浩, 山西健司: 知識システムI：知識の表現と学習, 東京大学工学教程 システム工学, pp.5-99, 丸善出版 (2018) – reference: [朱 16]朱成敏, 小出誠二, 武田英明, 法隆大輔, 竹崎あかね, 吉田智一: 記述論理に基づく農作業オントロジーの設計と応用, 人工知能学会研究会資料, 第38回セマンティックウェブとオントロジー研究会, Vol.38, No.6 (2016) – reference: [Lohmann 16]Lohmann, S., Negru, S., Haag F. and Ertl, T.: Visualizing ontologies with VOWL, Semantic Web, Vol.7, No.4, pp.399-419 (2016) – reference: [西村 15]西村悟史, 笹嶋宗彦, 來村徳信, 中村明美, 高橋弘枝, 平尾明美, 服部兼敏, 溝口理一郎: 目的指向の看護手順学習に向けた複数観点からの知識閲覧システムCHARM Padと新人看護師研修への実践的活用, 人工知能学会論文誌, Vol.30, No.1, pp.22-36 (2015) – reference: [Ashburner 00]Ashburner, M., Ball, C.A., Blake, J.A., Botstein, D., Butler, H., Cherry, J.M., Davis, A.P., Dolinski, K., Dwight, S.S., Eppig, J.T., Harris, M.A., Hill, D.P., Issel-Tarver, L., Kasarskis, A., Lewis, S., Matese, J.C., Richardson, J.E., Ringwald, M., Rubin, G.M. and Sherlock, G.: Gene Ontology: Tool for the unification of biology, Nature Genetics, Vol.25, pp.25-29 (2000) – reference: [Jupp 12]Jupp, S., Horridge, M., Iannone, L., Klein, J., Owen, S., Schanstra, J., Wolstencroft, K. and Stevens, R.: Populous: A tool for building OWL ontologies from templates, BMC Bioinformatics, Vol.13, Supplement 1 (2012) – reference: [Nishimura 13]Nishimura, S., Kitamura, Y., Sasajima, M., Williamson, A., Kinoshita, C., Hirao, A., Hattori, K. and Mizoguchi, R.: CHARM as activity model to share knowledge and transmit procedural knowledge and its application to nursing guidelines integration, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.2, pp.208-220 (2013) – reference: [Raskin 05]Raskin, R.G. and Pan, M.J.: Knowledge representation in the semantic web for earth and environmental terminology (sweet), Computers & Geosciences, Vol.31, Issue 9, pp.1119-1125 (2005) – reference: [Kitamura 06]Kitamura, Y., Koji, Y. and Mizoguchi, R.: An ontological model of device function: Industrial deployment and lessons learned, Applied Ontology, Vol.1, No.3-4, pp.237-262 (2006) – ident: 2 – ident: 3 doi: 10.1109/ICDMW.2017.82 – ident: 5 doi: 10.1186/1471-2105-13-S1-S5 – ident: 14 doi: 10.3233/AO-170183 – ident: 13 – ident: 1 doi: 10.1038/75556 – ident: 4 doi: 10.1109/ICOSC.2019.8665532 – ident: 11 doi: 10.1016/j.cageo.2004.12.004 – ident: 12 doi: 10.1017/S0269888900007797 – ident: 10 doi: 10.20965/jaciii.2013.p0208 – ident: 6 – ident: 9 – ident: 7 – ident: 8 |
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| SubjectTerms | domain experts Guitar Rendition Ontology knowledge construction Knowledge representation Musical instruments Ontology procedural knowledge Subject specialists |
| Subtitle | Practice of Knowledge Construction on Musical Instrument Performance |
| Title | Practice and Analysis of Knowledge Construction using a Domain Ontology and Procedural Knowledge |
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