Advanced Semantic Web Services for diet therapy with Linked Data and mediation rules

Yusuke Tagawa, Arata Tanaka, Yuya Minami, Daichi Namikawa, Michio Simomura, Takahira Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Instead of conventional Semantic Web Services, such as OWL-S and WSMO, LOSs (Linked Open Services) recently come up with more LOD (Linked Open Data) activities. Here is discussed how to construct advanced LOS architecture with LOD and mediation rules that bridge the gaps between different LOD endpoints and then how well the service goes well with the questionnaire survey of a diabetic. Furthermore, the LOS architecture should be evaluated by function extendibility and modifiability to another task.

Original languageEnglish
Title of host publicationSemantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers
PublisherSpringer Verlag
Pages146-156
Number of pages11
ISBN (Print)9783319068251
DOIs
Publication statusPublished - 2014 Jan 1
Event3rd Joint International Semantic Technology Conference, JIST 2013 - Seoul, Korea, Republic of
Duration: 2013 Nov 282013 Nov 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8388 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd Joint International Semantic Technology Conference, JIST 2013
CountryKorea, Republic of
CitySeoul
Period13/11/2813/11/30

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Keywords

  • Diabetic
  • Linked Open Data
  • Linked Open Service
  • Mediator

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Tagawa, Y., Tanaka, A., Minami, Y., Namikawa, D., Simomura, M., & Yamaguchi, T. (2014). Advanced Semantic Web Services for diet therapy with Linked Data and mediation rules. In Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers (pp. 146-156). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8388 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-06826-8_12