(Publisher of Peer Reviewed Open Access Journals)
ICACC-2013
Full-Text PDF
Paper Title : Semi-Automatic Mapping Generation for the DBpedia Information Extraction Framework
Author Name : Arup Sarkar, Ujjal Marjit, Utpal Biswas
Abstract : 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 collected 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 framework called DBpedia Information Extraction Framework. This extraction framework do its 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 automatic 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 template is generated automatically.
Keywords : DBpedia, DBpedia Information Extraction Framework, DBpedia Ontology, Mapping tool.
Cite this article : Arup Sarkar, Ujjal Marjit, Utpal Biswas " Semi-Automatic Mapping Generation for the DBpedia Information Extraction Framework " ,ICACC-2013 ,Page No : 247-252.