📅 Submission Deadline: N/A  |  Vol. 9, Issue 12, December
Track Paper e-Certificate Contact
📢 NOTICE Call For Paper – Vol. 9, Issue 12 (December)  |  Submission Deadline: N/A  |  IJAREST is UGC Approved (Sr. No. 63628)  |  e-ISSN: 2394-3394  |  Submit original, unpublished research papers in Engineering, Science & Technology  |  Fast peer review (12–15 weeks)  |  Open Access – Free to Read  |  Contact: editor@ijarest.org

Paper Details

Home › Archives › Paper Detail

Intelligent Information Retrieval in Semantic Way: Agents and Framework

Sanjib kumar Sahu , D. P. Mahapatra, R.C. Balabantaray
Dept of Computer Science, Utkal University, Odisha, India, India
Vol. 3, Issue 1 pp. 43-50 🌐 Open Access

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.

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

📄 Submit Your Paper

Open Access • Double-Blind Peer Reviewed
UGC Approved • Quarterly Publication

Submit Now →
📅 Submission Deadline
N/A
Vol. 9 | Issue 12 | December