Salim, Juhana and Zawani, Sharhida and Othman, Mohd. Shahizan and Yahya, Yazrina and Yusuf, Lizawati Mi (2007) Web resource extraction system : its application in enhancing knowledge acquisition online. The Icfai Journal of Knowledge Management, 5 (1). pp. 39-49. ISSN 0972-9216
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Official URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id...
The web resource extraction system is a software, which is a combination of system components or entities, database and web environment. It has been developed to enhance the input of business and companies' information into the Business Knowledge Engineering System (BKES). BKES involves the development of a business directory and Search Engine, using the Information Extraction (IE) software. The main purpose of this method is to transfer all needed web contents or information to one structured format. This system is developed to structure or integrate business information or web documents in one database, in order to allow easy and effective business search and other specific search techniques. The system is developed to allow users to search or browse business and company information or websites more precisely and effectively to meet business information needs. The retrieval modules or search techniques provided include business directory (companies and products listing), query-based search module, and business search based on user's option/scoped search module. This web extraction software enhances more precisely an effective search for business knowledge through the internet by providing various search options, such as - scoped/specific search, phrase query, directory of company, products and services and gateway to business online resources. Evidently, this web information resource extraction software that has been used in the development of BKES helped enhance business knowledge acquisition online more effectively. Since the web resource extraction system has been tested and found useful in structuring business web resources to enhance business research online, the system was also tested in bioinformatics and environment information applications. This system can also be applied to structure web documents in any other field, thereby supporting knowledge acquisition online.
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
Q Science > QA Mathematics > QA76 Computer software
|Divisions:||Computer Science and Information System|
|Deposited By:||Norshiela Buyamin|
|Deposited On:||02 Apr 2009 04:06|
|Last Modified:||16 Apr 2009 06:34|
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