Abstract
Biomimetics contributes to innovative engineering by imitating the models, systems, and elements of nature. Biomimetics research requires the development of a biomimetics database including widely varied knowledge across different domains. Interoperability of knowledge among those domains is necessary to create such a database. Ontologies clarify concepts that appear in target domains and help to improve interoperability. Furthermore, linked data technologies are very effective for integrating a database with existing biological diversity databases. In this paper, we propose a keyword exploration technique to find appropriate 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 shows a prototype of the biomimetics ontology and keyword exploration tool.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Shimomura, M.: Engineering Biomimetics: Integration of Biology and Nanotechnology, Design for Innovative Value Towards a Sustainable Society, pp. 905–907 (2012)
Vattam, S., Wiltgen, B., Helms, M., Goel, A., Yen, J.: DANE: Fostering Creativity in and through Biologically Inspired Design. In: Proc. First International Conference on Design Creativity, pp. 115–122, Kobe, Japan, November 2010
Gruber, T.: A translation approach to portable ontology specifications. In: Proc. of JKAW’92, pp. 89–108 (1992)
Cheong, H., et al.: Biologically Meaningful Keywords for Functional Terms of the Functional Basis. Journal of Mechanical Design, vol. 133 (2011). doi:10.1115/1.4003249
Hirtz, J., Stone, R.B., et al.: A Functional Basis for Engineering Design: Reconciling and Evolving Previous Effort, NIST Technical Note 1447 (2002)
Kitamura, Y., Segawa, S., Sasajima, M., Tarumi, S., Mizoguchi, R.: Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search. In: Domingue, J., Anutariya, C. (eds.) ASWC 2008. LNCS, vol. 5367, pp. 137–151. Springer, Heidelberg (2008)
Kozaki, K., Hirota, T., Mizoguchi, R.: Understanding an Ontology through Divergent Exploration. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 305–320. Springer, Heidelberg (2011)
Mizoguchi, R., Sunagawa, E., Kozaki, K., Kitamura, Y.: : Hozo. J. of Applied Ontology 2(2), 159–179 (2007)
Kozaki, K., Sunagawa, E., Kitamura, Y., Mizoguchi, R.: Role Representation Model Using OWL and SWRL. In: Proc. of 2nd Workshop on Roles and Relationships in Object Oriented Programming, Multiagent Systems, and Ontologies, Berlin, pp. 39–46 (2007)
Kozaki, K., Yamagata, Y., Imai, T., Ohe, K., Mizoguchi, R.: Publishing a Disease Ontologies as Linked Data. In: Kim, W., Ding, Y., Kim, H.-G. (eds.) JIST 2013. LNCS, vol. 8388, pp. 110–128. Springer, Heidelberg (2014)
Stroble, J., Stone, R., McAdams, D.A., Watkins, S.: An Engineering-to-Biology Thesaurus To Promote Better Collaboration, Creativity and Discovery. In: Proceedings of the CIRP DESIGN 2009 International Conference (2009)
Ferré, S., Hermann, A.: Reconciling faceted search and query languages for the semantic web. IJMSO 7(1), 37–54 (2012)
Guyonvarch, J., Ferré, S.: Scalewelis: a scalable query-based faceted search system on top pf SPARQL endpoints. In: Proceedings of the 3rd Open Challenge on Multilingual Question Answering over Linked Data (QALD-3), Valencia, Spain (2013)
Popov, I.O., Schraefel, M.C., Hall, W., Shadbolt, N.: Connecting the Dots: A Multi-pivot Approach to Data Exploration. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 553–568. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Kozaki, K., Mizoguchi, R. (2015). A Keyword Exploration for Retrieval from Biomimetics Databases. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds) Semantic Technology. JIST 2014. Lecture Notes in Computer Science(), vol 8943. Springer, Cham. https://doi.org/10.1007/978-3-319-15615-6_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-15615-6_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15614-9
Online ISBN: 978-3-319-15615-6
eBook Packages: Computer ScienceComputer Science (R0)