Integrated Approach for Domain Dimensional Information Retrieval System by Using Neural Networks

Abstract

Search engines are the most commonly used type of tool for finding relevant information on the Internet. However, today's search engines are far from perfect. Typical search queries are short, often one or two words, and can be ambiguous therefore returning inappropriate results. A precise search engine adapted to professional environments which are characterized by a domain (e.g. medicine, law, sport, and so on). In our approach, each domain has its own terminology (i.e. a set of terms that denote its concepts: team, player, etc.) and it is organized along dimensions, such as person, location, etc. The research work is focuses on personalization of information retrieval systems to achieve this we require one architecture that is to developed with immense ground knowledge on open source technologies and great Neural networks and Information retrieval system and there scope and existence. The architecture termed as ISA integrated service architecture.