An explorative association-based search for the semantic web

Myungjin Lee, Wooju Kim, Taehyung Wang

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

2 Citations (Scopus)

Abstract

Due to the explosive growth of the amount of Web information, the effectiveness of keyword-based searching methods appears to reach a limit. One major reason is that the mixture of content and presentation information hinders machines in understanding the context of Web information and as a result, the performance of the existing search approaches degenerates. To address this challenge, Tim Berners-Lee of W3C envisioned the Semantic Web. In the Semantic Web, the meaning (semantics) of each term of Web information is defined based on ontologies; thus machines are able to retrieve information that is semantically associated with resources containing input keywords. In this paper, we propose the semantic association search system (SASS), which takes into account the associations between resources (web pages) as well as keywords. To achieve this goal, we first created metrics to evaluate the relative importance of each association between resources, and then developed an exploration mechanism based on the spreading activation paradigm to follow the relevant paths of such associations. Demonstrative cases were tested to validate our approach, and the results showed the effectiveness and great potential of our approach.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010
Pages206-211
Number of pages6
DOIs
Publication statusPublished - 2010
Event4th IEEE International Conference on Semantic Computing, ICSC 2010 - Pittsburgh, PA, United States
Duration: 2010 Sep 222010 Sep 24

Publication series

NameProceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010

Other

Other4th IEEE International Conference on Semantic Computing, ICSC 2010
CountryUnited States
CityPittsburgh, PA
Period10/9/2210/9/24

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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  • Cite this

    Lee, M., Kim, W., & Wang, T. (2010). An explorative association-based search for the semantic web. In Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010 (pp. 206-211). [5628905] (Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010). https://doi.org/10.1109/ICSC.2010.17