%0 Conference Paper %1 WenZhou:2006 %A Zhou, Wen %A Liu, Zongtian %A Zhao, Yan %A Xu, Libin %A Chen, Guang %A Wu, Qiang %A li Huang, Mei %A Qiang, Yu Wen %B Information and Automation, 2006. ICIA 2006. International Conference on %D 2006 %K ontology %P 240-244 %R 10.1109/ICINFA.2006.374119 %T A Semi-automatic Ontology Learning Based on WordNet and Event-based Natural Language Processing %U http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4250209 %X Ontology is more and more popular in all kinds of knowledge management system, but the manual acquisition of ontologies still remains a tedious, cumbersome task. Meanwhile moving toward semi-automation or automation of ontology construction is a solution. In this paper, we proposed a semiautomatic ontology building approach. In this approach the system starts form a small core ontology constructed by domain experts and learns the concepts and taxonomic and non-taxonomic relations by use of the general ontology WordNet and event-based natural language processing technologies automatically to construct the aim ontology. Our experimental results indicate that the method offers an improvement in quality of ontology and reduction in the time-consumed. %@ 1-4244-0555-6

@inproceedings{WenZhou:2006, abstract = {Ontology is more and more popular in all kinds of knowledge management system, but the manual acquisition of ontologies still remains a tedious, cumbersome task. Meanwhile moving toward semi-automation or automation of ontology construction is a solution. In this paper, we proposed a semiautomatic ontology building approach. In this approach the system starts form a small core ontology constructed by domain experts and learns the concepts and taxonomic and non-taxonomic relations by use of the general ontology WordNet and event-based natural language processing technologies automatically to construct the aim ontology. Our experimental results indicate that the method offers an improvement in quality of ontology and reduction in the time-consumed.}, added-at = {2008-05-21T14:38:51.000+0200}, author = {Zhou, Wen and Liu, Zongtian and Zhao, Yan and Xu, Libin and Chen, Guang and Wu, Qiang and li Huang, Mei and Qiang, Yu Wen}, biburl = {https://www.bibsonomy.org/bibtex/22c2532a041086ca635faecd9b872fdd5/enterldestodes}, booktitle = {Information and Automation, 2006. ICIA 2006. International Conference on}, description = {IEEEXplore# A Semi-automatic Ontology Learning Based on WordNet and Event-based Natural Language Processing}, doi = {10.1109/ICINFA.2006.374119}, interhash = {2591a662b1f5761462082f6faba2d50b}, intrahash = {2c2532a041086ca635faecd9b872fdd5}, isbn = {1-4244-0555-6}, keywords = {ontology}, pages = {240-244}, timestamp = {2008-05-21T14:38:52.000+0200}, title = {A Semi-automatic Ontology Learning Based on WordNet and Event-based Natural Language Processing}, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4250209}, year = 2006 }