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Finding Similar Classes in Ontologies

Published: 04 March 2016 Publication History

Abstract

Ontologies are basically termed as specification of conceptualization. Mapping is one of the sought about operations in ontologies. The approach used here is for a quick classification of similarities and dissimilarities of the classes based on their properties, super classes, subclasses, and comments associated with them. This classification helps to map the similarities between two different ontologies. As the heterogeneity of web resources has increased the need to have a common understanding of these resources is getting prevalent. Heterogeneity has caused major issues in interoperability and cross-platform communication. There is no unified approach to write ontologies. Ontology being the description of conceptualization is a trusted resource to overcome this issue Ontology mapping is very much sought after field in area of semantic web. Mapping highlights the commonness of various ontologies which is prerequisite for various other operations on ontologies. The approach used in this paper is focused on finding similar classes to map the ontologies according to different criteria.

References

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Feng-Hsu Wang Jia-He Jou, A New Entity Similarity Measurement based on Automatic Featuring for Ontology Mapping. Networked Computing and Advanced Information Management (NCM), 2011 7th International Conference on 21-23 june 2011
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AnHai Doan, Jayant Madhavan, Pedro Domingos, and Alon Halevy, Ontology Matching: A Machine Learning Approach.
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Kazem Taghadinky, Survey of Semantic Similarity by Wikipedia,
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ICTCS '16: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies
March 2016
843 pages
ISBN:9781450339629
DOI:10.1145/2905055
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 March 2016

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Author Tags

  1. Ontology
  2. Ontology Mapping
  3. Property based
  4. Semantic Web
  5. Semantic based

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ICTCS '16

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Overall Acceptance Rate 97 of 270 submissions, 36%

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