CONVERTING NATURAL LANGUAGE QUERY TO SQL QUERY
نویسندگان
چکیده
منابع مشابه
Converting the Corpus Query Language to the Natural Language
This paper presents the first version of a web application designed to convert queries in the Corpus Query Language to the natural language. The purpose of this application is to help users who want to learn and work with Corpus Query Language, providing tool to find out the explanation of the CQL query. In the future, when the application supports more features of CQL, it may be included as a ...
متن کاملnQuery - A Natural Language Statement to SQL Query Generator
In this research, an intelligent system is designed between the user and the database system which accepts natural language input and then converts it into an SQL query. The research focuses on incorporating complex queries along with simple queries irrespective of the database. The system accommodates aggregate functions, multiple conditions in WHERE clause, advanced clauses like ORDER BY, GRO...
متن کاملTranslating WFS Query to SQL/XML Query
The purpose of the WFS specification, proposed by the the OpenGIS Consortium (OGC), is to describe the manipulation operations over geospatial data using GML. Web servers providing WFS service are called WFS Servers. WFS servers publish GML views of geographic features stored in data sources such that the user can query and update data sources through a user defined feature type schema. In this...
متن کاملRecursive SQL-like Query language for XML
XML data are data which are not constrained by a schema, XML is fast emerging as a standard for data representation and exchange on the Word Wide Web, the ability to intelligently query XML data becomes increasingly important. In this paper we propose a recursive query language XRQL for querying and restructuring XML data. The expressive power of XRQL is comparable to Fixpoint. XRQL language is...
متن کاملSpatial SQL: A Query and Presentation Language
query language presentation language Index Terms Max J. Egenhofer National Center for Geographic Information and Analysis and Department of Surveying Engineering University of Maine Orono, ME 04469, USA [email protected] This research was partially funded by grants from NSF under No. IST 86-09123, Digital Equipment Corporation under Sponsored Research Agreement No. 414, and Intergraph Corporati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering Applied Sciences and Technology
سال: 2020
ISSN: 2455-2143
DOI: 10.33564/ijeast.2020.v05i05.048