Semantic searches for extracting similarities in a content management system

Amirah Ismail, Mike Joy

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

4 Citations (Scopus)

Abstract

Recent content management systems have restricted means for organizing and inferring documents although much of an organization's knowledge can be created in text repositories. In the Semantic Web search emergence, inferring and understanding can be deal by ontology-based semantic mark-up and metadata management. Whilst in the educational domain, learning objects are a fundamental resource. Literally, Content Management Systems and repositories have restricted the means for organising and understanding the captured semantic relationships between the learning objects and other stored documents. To cater this situation, we propose the application of metametadata as a useful semantic based approach to address similarities in a domain to gather definite requirements. This paper focuses on the existing approaches for describing semantic relationships in Content Management Systems and how metametadata capture the pedagogic information which can be applied to enhance the semantic information stored within such a Content Management Systems or repository. It is understood that there is still lacking approaches to address similarities in a domain that meets certain requirements but the progress for the ongoing research in the area is active and shows potential advancement.

Original languageEnglish
Title of host publication2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
Pages113-118
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Semantics
Semantic Web
Metadata
Ontology

Keywords

  • formatting
  • insert
  • style
  • styling

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Ismail, A., & Joy, M. (2011). Semantic searches for extracting similarities in a content management system. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 (pp. 113-118). [5995774] https://doi.org/10.1109/STAIR.2011.5995774

Semantic searches for extracting similarities in a content management system. / Ismail, Amirah; Joy, Mike.

2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 113-118 5995774.

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

Ismail, A & Joy, M 2011, Semantic searches for extracting similarities in a content management system. in 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011., 5995774, pp. 113-118, 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/STAIR.2011.5995774
Ismail A, Joy M. Semantic searches for extracting similarities in a content management system. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 113-118. 5995774 https://doi.org/10.1109/STAIR.2011.5995774
Ismail, Amirah ; Joy, Mike. / Semantic searches for extracting similarities in a content management system. 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. pp. 113-118
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