Semi-Automatic Mapping Generation for the DBpedia Information Extraction Framework

DBpedia is one of the very well known live projects from the Semantic Web. It is like a mirror version of the Wikipedia site in Semantic Web. Initially it publishes the information co llected from the Wikipedia, but only that part which is relevant to the Semantic Web. Collecting information for Semantic Web from the Wikipedia is demonstrated as the extraction of structured data. DBpedia normally do this by using a specially designed fr amework called DBpedia Information Extraction Framework. This extraction framework do it s works thorough the evaluation of the similar properties from the DBpedia Ontology and the Wikipedia template. This step is known as DBpedia mapping. At present most of the mapping jobs are done complete manually . In this paper a new framework is introduced considering the issues related to the template to ontology mapping. A semi - automatic mapping tool for the DBpedia project is proposed with the capability of automa tic suggestion generation for the end users so that users can identify the similar Ontology and template properties . Proposed framework is useful since after selection of similar properties, the necessary code to maintain the mapping between Ontology and t emplate is generated automatically