Adding synonyms to concepts in ontology to solve the problem of semantic heterogeneity

(1) * Herlina Jayadianti Mail (Universitas Gadjah Mada Yogyakarta, Indonesia)
(2) Lukito Edi Nugroho Mail (Electrical Engineering and Information Technology, Gadjah Mada University, Indonesia)
(3) Paulus Insap Santosa Mail (Electrical Engineering and Information Technology, Gadjah Mada University, Indonesia)
(4) Wahyu Widayat Mail (Economic Development, Gadjah Mada University, Indonesia)
*corresponding author

Abstract


Nowadays many department (community) are thinking how to get more knowledges and metadata by linking more systems from other community. There are great challenges to make all systems organizing knowledge and sharing metadata – to make it easy searched, indexed and used in different context. In this paper we will focus on metadata in specific domain - ‘Poverty’2. Regardless of the various definitions of poverty, in this paper we will focus on managing metadata in “Poverty” with many different terms therein. Ontology Mapping is the process of relating similar concepts or relations from different sources through some equivalence relation. Mapping allows finding correspondences between the concepts of two ontologies. If two concepts correspond, then they mean the same thing or closely related things. Currently, the mapping process is regarded as a promise to solve the problem between ontologies since it attempts to find correspondences between semantically related entities that belong to different ontologies. It takes as input two ontologies, each consisting of a set of components (classes, instances, properties, rules and axioms). Based on the presented reasons, we believe that ontologies with common terms and common concepts are very important in a metadata sharing process.

Keywords


Ontology; Knowledge; Agreement; Synonyms; Poverty

   

DOI

https://doi.org/10.26555/ijain.v1i2.19
      

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References


F. Hakimpour and A. Geppert, “Resolving semantic heterogeneity in schema integration,” in Proceedings of the international conference on Formal Ontology in Information Systems-Volume 2001, 2001, pp. 297–308.

F. Hakimpour and S. Timpf, “Using ontologies for resolution of semantic heterogeneity in GIS,” in 4th AGILE Conference on Geographic Information Science, 2001.

Y. Xue, H. Ghenniwa, and W. Shen, “Ontological view-driven semantic integration in collaborative networks,” Leveraging Knowl. Innov. Collab. Netw., pp. 311–318, 2009.

T. Gruber, “What is an Ontology,” Encycl. Database Syst., vol. 1, 2008.

M. Grüninger and M. S. Fox, “Methodology for the Design and Evaluation of Ontologies,” 1995.

N. F. Noy, D. L. McGuinness, and others, Ontology development 101: A guide to creating your first ontology. Stanford knowledge systems laboratory technical report KSL-01-05 and Stanford medical informatics technical report SMI-2001-0880, 2001.




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