A Semantic model for building integrated Ontology databases
M. S. Prasad Babu, Sudeepthi Govathoti · 2016
Ontology database is a most comprehensive data base application that collects the related information from multiple data sources about any topic. Allowing multiple data sources into the database involves collection of irrelevant and redundant data. It leads to high memory utilization and more processing time. The user may be able to access the relevant data using appropriate software tools. In this paper a new Semantic model ontology Database Architectural framework is proposed to implement the Ontology databases efficiently. The proposed work actually concentrates on RDF-ization for converting the XML Records to RDF Records, so that the entire data can be stored into a triple store database. For efficient storage, triple store uses vertical partitioning algorithm for storing data in searchable format. It converts the entire data into indexes and keywords. Meta Search Engine Algorithm is used to retrieve the required result. It separates the fake data and original data and enables the user to access the data effectively.