A SURVEY ON SEMANTIC SEARCH TECHNIQUE
| Author(s) | : | Kunal Vilas Gorlewar, Pallavi Shaym Hire, Asavari Ashok Khilare, Dhanashri Ramesh Kadam, Prof. Archana Kollu |
| Institution | : | BE, Student, DIT , Pimpri, Pune, Maharashtra, India |
| Published In | : | Vol. 5, Issue 3 — March 2018 |
| Page No. | : | 1134-1136 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Semantic search is thought as a series of activities and techniques to boost the search accuracy by clearlyunderstanding users’ search intent. Usually, linguistics search engines needs metaphysics and linguistics information toresearch user queries. However, building a selected metaphysics and linguistics information supposed for big amounts ofinformation could be a terribly time intense and expensive task. so as to resolve this downside, we have a tendency topropose a unique linguistics search technique that doesn't need ontologies and linguistics information by takingadvantage of semantically enriched text model. Through in depth experiments victimisation the OSHUMED documentassortment and SCOPUS library information, we have a tendency to show that our planned technique improves users’search satisfaction.
Kunal Vilas Gorlewar, Pallavi Shaym Hire, Asavari Ashok Khilare, Dhanashri Ramesh Kadam, Prof. Archana Kollu, “A SURVEY ON SEMANTIC SEARCH TECHNIQUE”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 3, pp. 1134-1136, March 2018.
