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Efficient Finding Relationship between Individuals in a Mass Ontology Database

  • Conference paper
U- and E-Service, Science and Technology (UNESST 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 264))

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Abstract

Recently, as ontology is used in the semantic web, the amount of ontology instances is increasing explosively. Today’s world is complex, and so are the relationships within most knowledge domains. Especially a very complicated relationship cannot easily be overlooked. So, Experts to need decision making and information analysis expend a lot of time and effort on finding the relationships between individuals in many situations. To detect and extract relationships between individuals of interest with the help of a machine, the relationship finder system, namely RelFinder, is proposed. However, RelFinder cannot find all relationship because of its constraints for the system response time. Therefore, we propose the novel relationship finding system, named OntoRelFinder. OntoRelFinder utilizes schema paths and SPARQL endpoints to find the relationship between ontology individuals.

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Author information

Authors and Affiliations

  1. Korea Institute of Science and Technology Information (KISTI), 335 Gwahnagno, Yuseong-gu, Daejeon, Korea, 305-806

    Dongmin Seo, Hee Kwan Koo, Seungwoo Lee, Pyung Kim, Hanmin Jung & Won-Kyung Sung

Authors
  1. Dongmin Seo
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  2. Hee Kwan Koo
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  3. Seungwoo Lee
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  4. Pyung Kim
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  5. Hanmin Jung
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  6. Won-Kyung Sung
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Hosei University, 184-8584, Tokyo, Japan

    Jianhua Ma

  4. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  5. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  6. Hannam University, Daejeon, Korea

    Byungjoo Park

  7. Oslo University College, Norway

    Frode Eika Sandnes

  8. Sungkyunkwan University, 110-745, Seoul, Republic of Korea

    Kun Chang Lee

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© 2011 Springer-Verlag Berlin Heidelberg

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Seo, D., Koo, H.K., Lee, S., Kim, P., Jung, H., Sung, WK. (2011). Efficient Finding Relationship between Individuals in a Mass Ontology Database. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_37

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  • DOI: https://doi.org/10.1007/978-3-642-27210-3_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27209-7

  • Online ISBN: 978-3-642-27210-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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