Title |
Chinese Core Ontology Construction from a Bilingual Term Bank |
Authors |
Yirong Chen, Qin Lu, Wenjie Li and Gaoying Cui |
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. |
Language |
Multiple languages |
Topics |
Ontologies, Semantics, Word Sense Disambiguation |
Full paper |
Chinese Core Ontology Construction from a Bilingual Term Bank |
Slides |
Chinese Core Ontology Construction from a Bilingual Term Bank |
Bibtex |
@InProceedings{CHEN08.588,
author = {Yirong Chen, Qin Lu, Wenjie Li and Gaoying Cui},
title = {Chinese Core Ontology Construction from a Bilingual Term Bank},
booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
year = {2008},
month = {may},
date = {28-30},
address = {Marrakech, Morocco},
editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
publisher = {European Language Resources Association (ELRA)},
isbn = {2-9517408-4-0},
note = {http://www.lrec-conf.org/proceedings/lrec2008/},
language = {english}
} |