Background knowledge driven ontology discovery

Shan Chen; Damminda Alahakoon; Maria Indrawan

doi:10.1109/EEE.2005.40

Background knowledge driven ontology discovery

Shan Chen
, Damminda Alahakoon
, Maria Indrawan

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

7 Citations (Scopus)

Abstract

We have previously proposed a GSOM-based hybrid model for automatic discovery of ontology, the first step towards semi-automation of ontology construction. One of the shortcomings of this previous model is the use of a threshold for selecting abstraction levels. The threshold might introduce an inappropriate concept and cause information loss. In this paper, we introduce a new parameter called context ratio (cr) to overcome this drawback. The cr is used as stopping criteria for traversing hypernyms and identifying appropriate abstraction levels. It allows us to extend the previously proposed framework to integrate methodology for multiple inheritance validation in the discovered ontology.

Original language	English
Title of host publication	The 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service EEE-05
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	202-207
Number of pages	6
ISBN (Print)	0769522742
DOIs	https://doi.org/10.1109/EEE.2005.40
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05 - Hong Kong, China Duration: 29 Mar 2005 → 1 Apr 2005

Other

Other	2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05
Country/Territory	China
City	Hong Kong
Period	29/03/05 → 1/04/05

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10.1109/EEE.2005.40

Cite this

@inproceedings{c277b3d6937441169e9717ca6258b82f,

title = "Background knowledge driven ontology discovery",

abstract = "We have previously proposed a GSOM-based hybrid model for automatic discovery of ontology, the first step towards semi-automation of ontology construction. One of the shortcomings of this previous model is the use of a threshold for selecting abstraction levels. The threshold might introduce an inappropriate concept and cause information loss. In this paper, we introduce a new parameter called context ratio (cr) to overcome this drawback. The cr is used as stopping criteria for traversing hypernyms and identifying appropriate abstraction levels. It allows us to extend the previously proposed framework to integrate methodology for multiple inheritance validation in the discovered ontology.",

author = "Shan Chen and Damminda Alahakoon and Maria Indrawan",

year = "2005",

doi = "10.1109/EEE.2005.40",

language = "English",

isbn = "0769522742",

pages = "202--207",

booktitle = "The 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service EEE-05",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05 ; Conference date: 29-03-2005 Through 01-04-2005",

}

Chen, S, Alahakoon, D & Indrawan, M 2005, Background knowledge driven ontology discovery. in The 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service EEE-05: proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 202-207, 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05, Hong Kong, China, 29/03/05. https://doi.org/10.1109/EEE.2005.40

Background knowledge driven ontology discovery. / Chen, Shan; Alahakoon, Damminda; Indrawan, Maria.
The 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service EEE-05: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2005. p. 202-207.

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

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AU - Indrawan, Maria

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AB - We have previously proposed a GSOM-based hybrid model for automatic discovery of ontology, the first step towards semi-automation of ontology construction. One of the shortcomings of this previous model is the use of a threshold for selecting abstraction levels. The threshold might introduce an inappropriate concept and cause information loss. In this paper, we introduce a new parameter called context ratio (cr) to overcome this drawback. The cr is used as stopping criteria for traversing hypernyms and identifying appropriate abstraction levels. It allows us to extend the previously proposed framework to integrate methodology for multiple inheritance validation in the discovered ontology.

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DO - 10.1109/EEE.2005.40

M3 - Conference proceeding contribution

AN - SCOPUS:30944432566

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BT - The 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service EEE-05

PB - Institute of Electrical and Electronics Engineers (IEEE)

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T2 - 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05

Y2 - 29 March 2005 through 1 April 2005

ER -

Background knowledge driven ontology discovery

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