A New Competitive Intelligence-based Strategy for Web Page Search
Iman Rasekh
Progress in Computing Applications, Vol. 3, No. 2, 2014.
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Abstract:
Semantic Web is known as next generation of web it is known as a new collaborative movement toward Web3.0 that led by the World Wide Web Consortium (W3C). It aims at converting the current web of unstructured documents into
a â€œweb of dataâ€. The proposed searching strategy for SEO in Semantic Web is a graph structured search (GSS). Search Engine Optimization (SEO) is defined as a collection of techniques and practices that allow a site to get more traffic from search engines and it is still one of the biggest challenge in search engines of Semantic Webs. In this paper, I proposed a new type of web page search which is based on the competitive intelligence. It use link-based ranking evolutionary scheme to accommodate usersâ€™  references. I implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme.