An ontology-based method for similarity calculation of concepts in the semantic web

Guo Hua Wang; Ya Dong Wang; Mao Zu Guo

doi:10.1109/ICMLC.2006.258824

An ontology-based method for similarity calculation of concepts in the semantic web

Guo Hua Wang^*
, Ya Dong Wang
, Mao Zu Guo

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

In the semantic web, evaluating the semantic similarity between concepts in a same ontology is a central component of techniques such as clustering, data-mining, semantic sense disambiguation, ontology translations, automatic database schema matching, and simple object comparison. Traditionally, the distance based approach and the information content based approach are the two major methods. In this paper, on the basis of analyzing these previous approaches, a new method based on hierarchy information content and attribute information content is provided and a similarity calculating algorithm, HIC-AIC, based on this theory is presented. In terms of theoretical analysis and experiments, the new approach obtains higher accuracy in calculating the semantic similarity between concepts.

Original language	English
Title of host publication	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Pages	1538-1542
Number of pages	5
DOIs	https://doi.org/10.1109/ICMLC.2006.258824
State	Published - 2006
Externally published	Yes
Event	2006 International Conference on Machine Learning and Cybernetics - Dalian, China Duration: 13 Aug 2006 → 16 Aug 2006

Publication series

Name	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume	2006

Conference

Conference	2006 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Dalian
Period	13/08/06 → 16/08/06

Keywords

Attribute information content
Hierarchy information content
Ontology
Semantic similarity

Access to Document

10.1109/ICMLC.2006.258824

Cite this

Wang, G. H., Wang, Y. D., & Guo, M. Z. (2006). An ontology-based method for similarity calculation of concepts in the semantic web. In Proceedings of the 2006 International Conference on Machine Learning and Cybernetics (pp. 1538-1542). Article 4028308 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006). https://doi.org/10.1109/ICMLC.2006.258824

@inproceedings{8951f1d8a5f14728bb21a50c2f4810ac,

title = "An ontology-based method for similarity calculation of concepts in the semantic web",

abstract = "In the semantic web, evaluating the semantic similarity between concepts in a same ontology is a central component of techniques such as clustering, data-mining, semantic sense disambiguation, ontology translations, automatic database schema matching, and simple object comparison. Traditionally, the distance based approach and the information content based approach are the two major methods. In this paper, on the basis of analyzing these previous approaches, a new method based on hierarchy information content and attribute information content is provided and a similarity calculating algorithm, HIC-AIC, based on this theory is presented. In terms of theoretical analysis and experiments, the new approach obtains higher accuracy in calculating the semantic similarity between concepts.",

keywords = "Attribute information content, Hierarchy information content, Ontology, Semantic similarity",

author = "Wang, \{Guo Hua\} and Wang, \{Ya Dong\} and Guo, \{Mao Zu\}",

year = "2006",

doi = "10.1109/ICMLC.2006.258824",

language = "英语",

isbn = "1424400619",

series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

pages = "1538--1542",

booktitle = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

note = "2006 International Conference on Machine Learning and Cybernetics ; Conference date: 13-08-2006 Through 16-08-2006",

}

Wang, GH , Wang, YD & Guo, MZ 2006, An ontology-based method for similarity calculation of concepts in the semantic web. in Proceedings of the 2006 International Conference on Machine Learning and Cybernetics., 4028308, Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, vol. 2006, pp. 1538-1542, 2006 International Conference on Machine Learning and Cybernetics, Dalian, China, 13/08/06. https://doi.org/10.1109/ICMLC.2006.258824

An ontology-based method for similarity calculation of concepts in the semantic web. / Wang, Guo Hua ; Wang, Ya Dong; Guo, Mao Zu.
Proceedings of the 2006 International Conference on Machine Learning and Cybernetics. 2006. p. 1538-1542 4028308 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Wang, Guo Hua

AU - Wang, Ya Dong

AU - Guo, Mao Zu

PY - 2006

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N2 - In the semantic web, evaluating the semantic similarity between concepts in a same ontology is a central component of techniques such as clustering, data-mining, semantic sense disambiguation, ontology translations, automatic database schema matching, and simple object comparison. Traditionally, the distance based approach and the information content based approach are the two major methods. In this paper, on the basis of analyzing these previous approaches, a new method based on hierarchy information content and attribute information content is provided and a similarity calculating algorithm, HIC-AIC, based on this theory is presented. In terms of theoretical analysis and experiments, the new approach obtains higher accuracy in calculating the semantic similarity between concepts.

AB - In the semantic web, evaluating the semantic similarity between concepts in a same ontology is a central component of techniques such as clustering, data-mining, semantic sense disambiguation, ontology translations, automatic database schema matching, and simple object comparison. Traditionally, the distance based approach and the information content based approach are the two major methods. In this paper, on the basis of analyzing these previous approaches, a new method based on hierarchy information content and attribute information content is provided and a similarity calculating algorithm, HIC-AIC, based on this theory is presented. In terms of theoretical analysis and experiments, the new approach obtains higher accuracy in calculating the semantic similarity between concepts.

KW - Attribute information content

KW - Hierarchy information content

KW - Ontology

KW - Semantic similarity

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U2 - 10.1109/ICMLC.2006.258824

DO - 10.1109/ICMLC.2006.258824

M3 - 会议稿件

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SN - 1424400619

SN - 9781424400614

T3 - Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

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EP - 1542

BT - Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

T2 - 2006 International Conference on Machine Learning and Cybernetics

Y2 - 13 August 2006 through 16 August 2006

ER -

An ontology-based method for similarity calculation of concepts in the semantic web

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Keywords

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