Intelligent Information Retrieval in Semantic Way: Agents and Framework

Authors

  • Sanjib kumar Sahu Dept of Computer Science, Utkal University, Odisha, India
  • D. P. Mahapatra Dept of Computer Science, NIT, Rourkela, Odisha
  • R.C. Balabantaray Dept of Computer Science, IIIT Bhubaneswar, Odisha

Keywords:

Search engine, semantic network, Ontology, information retrieval, Multi Agent System

Abstract

The semantic web assumes the web as collection of data instead of set of documents. It aims not only to find keywords,
but also understand intent of searcher and get contextual meaning of terms as they appear in the searchable dataspace.
It can meaningfully correlate the keywords entered for search, thus, providing relevant and more accurate information
and not just find all data related to those keywords.Instead of using ranking algorithm, in which pages are returned
based on matching of keywords, semantic search takes into account “ semantics” (the science of meaning in language) to
produce exactly relevant search results. A multi-agent system(M.A.S.) is an electronics machine made up of multiple
interacting intelligent agents within an environment. The problems those are impossible or difficult to solve for an
individual agent can be completed with the help of Multi-agent Systems.

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Published

2016-01-25

How to Cite

Sanjib kumar Sahu, D. P. Mahapatra, & R.C. Balabantaray. (2016). Intelligent Information Retrieval in Semantic Way: Agents and Framework. International Journal of Advance Research in Engineering, Science & Technology, 3(1), 43–50. Retrieved from https://ijarest.org/index.php/ijarest/article/view/378

Issue

Vol. 3 No. 1 (2016): Volume: 03, Issue: 01 - January, 2016.

Section

Articles