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        <title>Chinese Core Ontology Construction from a Bilingual Term Bank</title>
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        <namePart type="given">Gaoying</namePart>
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            <title>Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC‘08)</title>
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            <namePart type="given">Nicoletta</namePart>
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    <abstract>A core ontology is a mid-level ontology which bridges the gap between an upper ontology and a domain ontology. Automatic Chinese core ontology construction can help quickly model domain knowledge. A graph based core ontology construction algorithm (COCA) is proposed to automatically construct a core ontology from an English-Chinese bilingual term bank. This algorithm computes the mapping strength from a selected Chinese term to WordNet synset with association to an upper-level SUMO concept. The strength is measured using a graph model integrated with several mapping features from multiple information sources. The features include multiple translation feature between Chinese core term and WordNet, extended string feature and Part-of-Speech feature. Evaluation of COCA repeated on an English-Chinese bilingual Term bank with more than 130K entries shows that the algorithm is improved in performance compared with our previous research and can better serve the semi-automatic construction of mid-level ontology.</abstract>
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%0 Conference Proceedings
%T Chinese Core Ontology Construction from a Bilingual Term Bank
%A Chen, Yirong
%A Lu, Qin
%A Li, Wenjie
%A Cui, Gaoying
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC‘08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F chen-etal-2008-chinese
%X A core ontology is a mid-level ontology which bridges the gap between an upper ontology and a domain ontology. Automatic Chinese core ontology construction can help quickly model domain knowledge. A graph based core ontology construction algorithm (COCA) is proposed to automatically construct a core ontology from an English-Chinese bilingual term bank. This algorithm computes the mapping strength from a selected Chinese term to WordNet synset with association to an upper-level SUMO concept. The strength is measured using a graph model integrated with several mapping features from multiple information sources. The features include multiple translation feature between Chinese core term and WordNet, extended string feature and Part-of-Speech feature. Evaluation of COCA repeated on an English-Chinese bilingual Term bank with more than 130K entries shows that the algorithm is improved in performance compared with our previous research and can better serve the semi-automatic construction of mid-level ontology.
%U https://aclanthology.org/L08-1128/

Markdown (Informal)

[Chinese Core Ontology Construction from a Bilingual Term Bank](https://aclanthology.org/L08-1128/) (Chen et al., LREC 2008)

• Chinese Core Ontology Construction from a Bilingual Term Bank (Chen et al., LREC 2008)

ACL

• Yirong Chen, Qin Lu, Wenjie Li, and Gaoying Cui. 2008. Chinese Core Ontology Construction from a Bilingual Term Bank. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).