Indian Journal of Science and Technology, Vol 9(48), DOI: 10.17485/ijst/2016/v9i48/102082, December 2016 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 * Author for correspondence 1. Introduction Nowadays the sources for data and data providers are increasing voluminously every day. However, users are having requirement of incorporated analysis of the information presented from various data sources. Hence, spotlight was made on integration of heterogeneous databases which was found to be an issue. Data incorporation defnes to merge information in such a way that a uniform and constant visualization is accessible by users 1 . Two types of database heterogeneity are available: Data heterogeneity and Semantic heterogeneity. Data heterogeneity defnes the diference among restricted defnitions. Semantics defnes meaning which is contrast type, formats, or correctness and semantic heterogeneity refers to diference and comparison in consequence of limited information. Schema fundamentals in two confned information source may have matching projected signifcance, but may be having diverse names 2 . Hence, it must be appreciate that two essentials really submit to the identical idea through procedure of integration. Schema fundamentals in data sources may be defned similarly, and their individual meanings were unequal. So, these fundamentals are supposed to be validated as diferent efects through integration. Te technique of Ontology based concept ladder extraction of Web information helps to take out concept ladder efcient technique for ontology construction 3 . Semantics is the confrmation given by people for the attribute to data based on their understanding and this diferent understanding of information cause semantic heterogeneity. In database part, semantics defnes to the implication of schemas basics 4 . A schema specifes organization of information. It gives structure to database plan period. When integrating information, all databases provide a description of the data. Te plan of the combination procedure used to build up of an inclusive schema. Global schema adds with combine local schema so that clients are visualized with a consistent and accurate breakdown of global database. Main issue here in related semantic heterogeneity. Tis is to be addressed properly and should be resolved. Defned and prescribed meaning of semantics for heterogeneous databases has motivated several researchers to afect recognized ontologies as possible clarifcation for semantic heterogeneity. Formal ontology contains reasonable axiom which communicates signifcance of conditions for exacting community. Abstract Integration process of data is recently recognized like a significant visualization of the Semantic Web explore for which researchers focus on numerous areas, such as integration of information, ontologies and databases. Objectives: Users generally requires an incorporated analysis of information accessible from various data and it was proposed to grant users with this view of data. Methods: The Meta data is created from different data sets like excel data set, RDF data set and XML data set. Findings: In this work a survey was made for integrating databases using ontology and a new approach for integration of databases is devised for finding correspondence between ontologies. Applications: View and Search functionality was provided by filtering data from Meta data. This provides easy access to the integrated data. Keywords: Database Integration, Ontologies, Schema, Semantic Web, Semantic Integration A Novel Approach for Semantic Integration of Data using Ontology Ghonia Pooja Mansukhlal * , C. Malathy and U. Uma Pratheebha Department of Computer Science and Engineering, SRM University, Chennai - 603203, Tamil Nadu, India; ghoniapooja@gmail.com, malathyc03@gmail.com, Pratheebha1994@gmail.com