NATURAL LANGUAGE PROCESSING IN COOPERATIVE QUERY ANSWERING DATABASES (NLPiCQA)

It has been the desire of casual users of databases and information system to have systems that minimize or eliminate the communication gap between computers and humans. Even though, in recent times, almost all computer and mobile applications store information in databases, the process of getting access to this information has not been easier for casual users. Retrieving information from databases requires technical proficiency in Structured Query Language (SQL) and knowledge of the database structure and tuple attributes. The aim of this paper is present a cooperative approach to information search and retrieval in databases and information systems. This paper present an architecture that combines Natural Language Processing (NLP) and Cooperative Query Processing (CQA) to develop a cooperative database system. The architecture proposed enables casual users to submit queries in plain English language and the system returns cooperative results – results more than what the user will normally require.