Mapping farsnet to suggested upper merged ontology

  • Authors:

  • Aynaz Taheri;Mehrnoush Shamsfard

  • Affiliations:

  • NLP Research Lab, Computer Engineering Dept., Shahid Beheshti University, Tehran, Iran;NLP Research Lab, Computer Engineering Dept., Shahid Beheshti University, Tehran, Iran

  • Venue:
  • AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
  • Year:
  • 2011

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Abstract

FarsNet is a lexical ontology for Persian language. SUMO is an important upper level ontology that contains global knowledge. Mapping of lexical to general knowledge of these two ontologies will be beneficial for Persian language. Producing a mapping of FarsNet to SUMO began after development of the first phase of FarsNet. Since we had mapping to WordNet for some FarsNet synsets, the mapping of FarsNet to SUMO was started with contribution of mapping FarsNet to WordNet. Obviously, there are some gaps between two languages of Persian and English such as lexical gap. So, there is no compulsion to obtain mapped SUMO concepts only through the WordNet mapping directly. Therefore, for covering the gaps, we take advantage of hierarchy relations in FarsNet. Hence, the bias of our mapping to English WordNet will be reduced. In this paper we propose the methodology of our semi automatic mapping method.