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HOME > Research > Semantic Web    
 
Semantic Web
 

First proposed by Tim Berners-Lee in 1989, the World Wide Web greatly improved the average person’s accessibility to diverse types of information. However, problems began to arise as the amount of information accessible became more and more vast. It became necessary for web users to filter out huge amounts of irrelevant information when searching for the information they required. This problem is caused by the fact that most of today’s web pages are formatted so that human users can grasp them easily. How is this a problem? It is a problem because the converse is also true; web contents cannot easily be grasped by a program, and therefore the task of automatically filtering out useless information and extracting only the crucial information has become increasingly difficult. In order to solve this problem, the Semantic web was introduced.

Tim Berners-Lee suggests that the Semantic web is not an entirely new concept, but a technology that expands the existing web to enable machines to also understand its contents to a certain degree. World Wide Web Committee (W3C) defines that Semantic Web is “data in the World Wide Web written abstractly in a standard form”

 

The ultimate objective of the research concerning the Semantic web is to develop a standard or technology that would assist computers in understanding the information on the web in order to achieve the automation of operations, such as data collection, semantic search, and exploration. To describe it in more detail:

- Provide a more precise search result
- Combine and Compare information from various sources
- Unify diverse resources with information on meanings
- Publish accurate information on the web for automatic web service