@article{1708,
  author = {Iman Rasekh},
  title = {A New Competitive Intelligence-based Strategy for Web Page Search},
  journal = {Progress in Computing Applications},
  year = {2014},
  volume = {3},
  number = {2},
  doi = {},
  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 “web of data”. 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 users’  references. I implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme.},
}