Title :
Movie related information retrieval using ontology based semantic search
Author :
Suganyakala, R. ; Rajalaxmi, R.R.
Author_Institution :
Dept. of CSE, Kongu Eng. Coll., Perundurai, India
Abstract :
Semantic search has become a grand vision for improving retrieval effectiveness in today´s scenario. Most of the existing ontology based semantic search models requires user to enter a query in formal query languages. It hinders the usability of the retrieval system. Aiming to solve the above limitations and improve the retrieval effectiveness, a framework for ontology based information retrieval is proposed. In order to overcome the usability limitations, a query interface which requires the user to enter the query in natural language is provided. A domain-specific ontology based on movies is used to develop a prototype of the proposed model which improves search accuracy.
Keywords :
information retrieval systems; natural language processing; ontologies (artificial intelligence); query languages; query processing; domain-specific ontology; formal query language; movie related information retrieval; natural language; ontology based semantic search; query interface; retrieval effectiveness; retrieval system; search accuracy; Database languages; Information retrieval; Motion pictures; Natural languages; Ontologies; Semantic Web; Semantics; SPARQL; document annotation; ontology; semantic search; semantic web;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
DOI :
10.1109/ICICES.2013.6508320