Abstrait

Ontology Based Searching Meta Data Extraction

S.Mohana Prakash, S.Sathish Kumar R.Vaishnavi, E.Anjaline Suganya, M.Ramakrishnan

In present technology, the search queries returns a large set of results produced in the web page, and also searching a relevant result tends to be a tedious process for the user. The user is looking for something but the result produced will contain information from various domains. So the user needs to search for the exact result for a long time by surfing [1]. But the developer cant able to design the webpage as per the user point of view because each individual user can have different aspects so can’t able to design as per the user view. This will result in the increased time complexity. To overcome this problem, we use the concept annotation (Web content extraction) by means of using ontology. That is, we depict the system that create and handle the collection of objects that is the user searching in web page can get annotate and find the searching methodology[7]. There are many approaches that process ontology according to semantic Web based upon the characteristic of ontology data on Web. We create the web ontology by using the language RDF (resource description framework) and OWL (Web ontology language). By creating the ontology model so as to use hierarchical vocabularies, we eliminate redundancy of an expression and reusability can be improved. Furthermore, by means of this model will help to reduce the users search time and exact information will be retrieved based on the extraction of the information provided by the user in the webpage.