A hybrid graph based framework for integrating information from RDF and topic map: a proposal

  • Authors:

  • Shiladitya Munshi;Ayan Chakraborty;Debajyoti Mukhopadhyay

  • Affiliations:

  • Meghnad Saha Institute of Technology, Kolkata, India;Techno India College of Technology, Kolkata, India;Maharastra Institute of Technology, Pune, India

  • Venue:
  • Proceedings of the CUBE International Information Technology Conference
  • Year:
  • 2012

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Abstract

This paper presents a proposal of a new hybrid graph based framework for integrating information within two semantic web information exchange format RDF and Topic Map. The disagreement on common information meta-model in semantic web arena, which is characterized by two mostly used information standards (RDF and Topic Map), is aimed to be hurdled across through the development of an integrated platform. On the background of limitations of the previously proposed solutions which address the issues of interoperability between RDF and Topic Map, we propose a novel hybrid graph based information integration platform for semantic web which can efficiently address the concerns of RDF and Topic Map interoperability. The hybrid nature of the proposed graph based model is characterized by the integration of equivalent semantic relations in a hyper graph - graph data structure framework. Critical theoretical aspects of this model are discussed with respect to the requirements and the methodologies.