Object-Relational Database Based Category Data Model for Natural Language Interface to Database

Abstract

Domain specific question answering technique allows users to use natural language to express their queries so that users need not have the knowledge about the structures of the information source. For such an application relational model is not suitable as it is not a natural way to represent real world knowledge. Using relational model for representing information source results in scattered relations of data about the real world objects. In this paper an effective category model is presented to organize information according to their contents based on object-relational database.For the discussion of the category model railway domain is used in the paper.

Analysis Of Names Of Organic Chemical Compounds By Using Parser Combinators And The Generative Lexicon Theory

“…A lexical item is ambiguous when it has two or more possible readings, usually with distinct interpretation in a given context. The methods provided by the natural language processing (NLP) to treat sentences of the human languages can be successfully used as tool in several other related domains, such as: database interface [3], text mining [4] and technical language processing [2]. Particularly in this paper, they are used to deal with the task of detecting whether a name proposed to represent a chemical compound is coherent with the IUPAC nomenclature.…”