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<record>
  <title>A New Competitive Intelligence-based Strategy for Web Page Search</title>
  <journal>Progress in Computing Applications</journal>
  <author>Iman Rasekh</author>
  <volume>3</volume>
  <issue>2</issue>
  <year>2014</year>
  <doi></doi>
  <url></url>
  <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.</abstract>
</record>
