Agent Based Personalized Semantc Web Information Retrieval System

Every user has an individual background and a precise goal in search of information. The goal of personalized search is to search results to a particular user based on the user’s interests and preferences. Effective personalization of information access involves two important challenges: accurately identifying the user context and organizing the information to match with the particular context. In this paper, the system uses ontology as a knowledge base for the information retrieval process. It is one layer above any one of search engines retrieve by analyzing just the keywords. Here, the query is analyzed both syntactically and semantically. The developed system retrieves the web results more relevant to the users query. The level of accuracy will be enhanced since the query is analyzed semantically. The results are re-ranked and optimized for providing the relevant links. Based on the user’s information access behavior, an ontological profile is created, which is also used for personalization. If the system is deployed for web information gathering, search performance can be improved and accurate results can be retrieved.

@article{Thangaraj2014,
  title     = {Agent Based Personalized Semantc Web Information Retrieval System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {8},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Dr.M. Thangaraj and Mrs.Mchamundeeswari},
  doi       = {10.14569/IJACSA.2014.050816},
  url       = {https://doi.org/10.14569/IJACSA.2014.050816}
}