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Jaya, A.
- Natural Language to SQL Generation for Semantic Knowledge Extraction in Social Web Sources
Abstract Views :190 |
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Authors
Affiliations
1 Department of Computer Applications, B.S. Abdur Rahman University, Chennai, IN
1 Department of Computer Applications, B.S. Abdur Rahman University, Chennai, IN
Source
Indian Journal of Science and Technology, Vol 8, No 1 (2015), Pagination: 1-10Abstract
Enormous evolution of web data creates a peculiar myth in the field of computer and information technology for extracting the meaningful content from the web. Many organizations and social networks use databases for storing information and the data will be fetched from the specified data store. Data can be retrieved or accessed by SQL queries whereas the query is in the form of natural lingual statement which has to be processed. So, the primary objective of this research article is to find the suitable way to convert natural language query to SQL and make the data apt for semantic extraction. This Research paper also aims to derive an automatic query translator for Natural Language based questions into their associated SQL queries and provides an user friendly interface between end user and the database for easy access of social web data from different web sources such as facebook, twitter and linkedIn etc.,. This paper is implemented using java as the front end, SQL server as the back end and R-tool is used to collect the data from social web sources. This research article provides an optimized SQL query generation for the Natural Language question provided by the end user.Keywords
Natural Language Interface For Databases (NLIDB), Natural Language Processing (NLP), R-Tool, Semantic Knowledge Extraction (SKE), Structured Query Language (SQL), Social Web Data.- Construction of Ontology for Software Requirements Elicitation
Abstract Views :179 |
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Authors
S. Murugesh
1,
A. Jaya
2
Affiliations
1 B. S. Abdur Rahman University, Chennai – 600048, IN
2 Department of Computer Applications, B. S. Abdur Rahman University, Chennai – 600048, IN
1 B. S. Abdur Rahman University, Chennai – 600048, IN
2 Department of Computer Applications, B. S. Abdur Rahman University, Chennai – 600048, IN
Source
Indian Journal of Science and Technology, Vol 8, No 29 (2015), Pagination:Abstract
Background/Objective: Elicitation of requirements from informal descriptions remains a major challenge to be accomplished in software industry. Methods: An important task in order to accomplish this goal is to construct an ontology consisting of set of concepts i.e. entities, attributes and relations based on the application domain of interest. The ontology constructed here represents the domain knowledge and requirements are the specialized subset of it. As standard description formalism the ontology is encoded using OWL DL, supported by Pellet reasoned to check the consistency of the components of the ontology. The populated ontology can be queried for matching words using SPARQL. Findings: In software development projects, voluminous unstructured text documents from different stakeholders are to be analysed and to be converted into structured requirements. This process of elicitation will be time consuming if it is to be performed manually. Domain specific ontology helps in automating the process of requirements elicitation, this article intends to construct such domain specific background ontology. The findings are elaborated in Section 3. Improvements: This article portrays the construction and use of domain specific background ontology containing the concepts and their relationships in the Automated Teller Machine (ATM) operations domain to guide the process of automation of elicitation of requirements from informal descriptions or unstructured text, which otherwise would be time consuming if carried out manually.Keywords
ATM, Domain Ontology, Natural Language Processing, Software Requirements Elicitation, Unstructured Documents- A Novel Approach of Collaborative KBQA System using Ontology
Abstract Views :164 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, B.S. Abdur Rahman University, Vandalur, Chennai - 600048, Tamil Nadu, IN
1 Department of Computer Science and Engineering, B.S. Abdur Rahman University, Vandalur, Chennai - 600048, Tamil Nadu, IN