Semantic system for intelligent searching of information by context for the Web

Search by Context emerges as an appropriate tool to exploit the knowledge of web-user interaction. It defines models which describe patterns of use and feature profiles of Web users. We propose an Intelligent Search System by context consists of an ontology for modeling the conceptual framework of Internet search, a reasoning mechanism based on rules to use the ontology and to infer patterns of behavior on Internet, and a metadata to store instances of information from Internet. Our search system obtains a set of criteria of the user when accessing the site, and based on them (eg, preferences and areas of interest of the user) and the information requested for him in a given moment, it will defined the information to be searched to try to make this process more efficient. That which is set to be searched is sent to a search engine (in this work is used Google).