NDLI: A rule based approach for NLP based query processing

Content Provider	IEEE Xplore Digital Library
Author	Mahmud, T. Azharul Hasan, K.M. Ahmed, M. Thwoi Hla Ching Chak
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh (Mahmud, T.; Azharul Hasan, K.M.; Ahmed, M.; Thwoi Hla Ching Chak)
Abstract	Information is playing an important role in our lives. One of the major sources of information is databases. Databases and database technology are having major impact on the growing use of computers. In order to retrieve information from a database, one needs to formulate a query in such way that the computer will understand and produce the desired output. Generally, query processing is handled by the Structured Query Language (SQL). But the non IT people cannot be able to write SQL queries as they may not be aware of the SQL as well as structure of the database. So there is a need for non-expert users to query the databases in their natural language instead of working with the values of the attributes. This paper proposes an approach for accessing the database easily using natural language without having any knowledge about the query language. The approach is a rule based approach. The obvious advantage is that it makes a great promise for computer interfaces easier for the use of general people. Because of this, people will be able to communicate to the computer in their own language instead of learning a specialized language or commands. In order to test our approach in an actual computer environment, we have developed a prototype system. We obtained promising results using our system.
Starting Page	78
Ending Page	82
File Size	296261
Page Count	5
File Format	PDF
ISBN	9781467392563
e-ISBN	9781467392570
DOI	10.1109/EICT.2015.7391926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-10
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Structured Query Language Databases Query processing Natural languages Semantics Natural Language Processing Relational Database Grammar NLID Blood
Content Type	Text
Resource Type	Article

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