Information Integration for Heterogeneous Data Sources

Abstract

Information Retrieval from heterogeneous information systems is required but challenging at the same as data is stored and represented in different data models in different information systems.Information integrated from heterogeneous data sources into single data source are faced upon by major challenge of information transformation-were in different formats and constraints in data transformation are used in data integration for the purpose of integrating information systems, at the same is not cost effective. This paper introduces ideaof Information integration based on search criteria from heterogeneous data sources into single data source. Every element of information source such as entity, field, and relation is mapped to component of new single text source-created every time heterogeneous information systems are searched and result is saved into new text file. This approach allows us to create new text file and delete existing file, modifiying wrapper, making modifications later and managing data retrieval in a simple unified style. This architecture is flexible enough to incorporate variety of data models and query capabilities by various protocols. It is possible to select logically tied information from all available legacy data sources.