A Keyword Exploration based on a Biomimetics Ontology and Linked Data
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- Kozaki Kouji
- The Institute of Scientific and Industrial Research (ISIR),Osaka University
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- Kitamura Yoshinobu
- The Institute of Scientific and Industrial Research (ISIR),Osaka University
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- Mizoguchi Riiciro
- Japan Advanced Institute of Science and Technology
Bibliographic Information
- Other Title
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- 生物規範工学オントロジーとLinked Dataに基づくキーワード探索
Abstract
Biomimetics contributes to innovative engineering by imitating the models, systems, and elements of nature. Well-known examples of biomimetics include paint and cleaning technologies that imitate the water repellency of the lotus, adhesive tapes that imitate the adhesiveness of gecko feet, and high-speed swimsuits that imitate the low resistance of a shark’s skin. These results integrate studies on the biological mechanisms of organisms with engineering technologies to develop new materials. Facilitating such biomimetics-based innovations requires integrating knowledge, data, requirements, and viewpoints across different domains. Researchers and engineers need to develop a biomimetics database to assist them in achieving this goal. Because ontologies clarify concepts that appear in target domains, we assume that it is important to develop a biomimetics ontology that contributes to improvement of knowledge interoperability between the biology and engineering domains. Furthermore, linked data technologies are very effective for integrating a database with existing biological diversity databases. On the basis of these observations, we developed a biomimetics ontology and keyword exploration tool based on linked data techniques. The tool allows users to find important keywords for retrieving meaningful knowledge from various biomimetics databases. Such a technique could support idea creation by users based on a biomimetics ontology. This paper describes a prototype of our proposed biomimetics ontology and keyword exploration tool.
Journal
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- Transactions of the Japanese Society for Artificial Intelligence
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Transactions of the Japanese Society for Artificial Intelligence 31 (1), LOD-D_1-12, 2016
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390001205108273536
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- NII Article ID
- 130005118950
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- ISSN
- 13468030
- 13460714
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed