DocumentCode :
604962
Title :
Enhancing the relevance of information retrieval by querying the database in natural form
Author :
Shingala, A. ; Virparia, P.
Author_Institution :
Dept. of MCA, SVIT, Vasad, India
fYear :
2013
fDate :
1-2 March 2013
Firstpage :
408
Lastpage :
412
Abstract :
Effectiveness of Information Retrieval from Structured Database through Natural Language provides high utility value and ease of use. The challenge in Information Retrieval is to derive the users intended from limited number of query words (sometimes just one word) to extract the relevant information from structured database. It calls for correct interpretation, disambiguation and context resolution in natural language query processing. These difficulties can be reduced by limiting the domain of applications. In this paper we present our work in designing and developing Student Interface System by querying user in Natural Language (English). Our model consists of (i) semantically parsed the user inputted sentence (ii) transforming it into intermediate query form and finally (iii) convert it into structured query language. The system is developed in JAVA using JDBC for Student Information System. The same approach and methodology can be used in developing queries using vernacular languages.
Keywords :
Java; SQL; computer aided instruction; grammars; natural language interfaces; natural language processing; programming language semantics; query processing; word processing; English; JAVA; JDBC; database querying; information retrieval; intermediate query; natural language query processing; query word; relevant information extraction; semantically user inputted sentence parsing; structured database; structured query language; student information system; student interface system; user querying; vernacular language; Database languages; Databases; Information retrieval; Intelligent systems; Moon; Natural languages; Semantics; Information Retrieval; Intelligent Database Systems; Natural Language Interface; Structured Query Language (SQL);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Signal Processing (ISSP), 2013 International Conference on
Conference_Location :
Gujarat
Print_ISBN :
978-1-4799-0316-0
Type :
conf
DOI :
10.1109/ISSP.2013.6526944
Filename :
6526944
Link To Document :
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