Ongoing Trends of Knowledge Representation for Semantic Web: Review Study.

Document Type : Research Studies

Authors

1 Head of Information System Department., Faculty of Computers and Information Sciences., Mansoura University, Mansoura, Egypt

2 Head of Communication Department., Misr Academy for Engineering& Technology

3 Computer Science Dept., Faculty of Computers and Information Sciences. Mansoura University, Mansoura, Egypt

4 Alzarka Higher institute for administration & computer sciences

Abstract

The Web is the richest information repository, but most of the information it holds is unstructured. Moreover, its power is limited by the ability of human users to navigate the various sources for the information they require. To overcome this defect, semantic web vision is anticipated to be a promising path towards transforming the present web content into a machine understandable. To support this vision, augmenting web pages with description about the content they hold is necessary to make it possible to reason about it. A major challenge is to capture knowledge and structure it in a format that can be processed automatically. Therefore, knowledge representation techniques, namely annotation and ontologies, support sharing common understanding of a domain among people and computers. A large number of tools have been developed to help web content annotations and ontology creation. This paper presents a generic review of knowledge representation techniques and tools that have been developed to support annotation as well as ontology building showing advances and ongoing research. 

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MEJ- Mansoura Engineering Journal
Volume 35, Issue 3
September 2010
Pages 1-9

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