Building Taiwan Law Ontology based on Automatic Legal Definition Extraction

• Main Authors: Yu-Ting Chang, 張瑜庭
• Other Authors: Ren-Hung Hwang
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/23241868426350112617

碩士 === 國立中正大學 === 資訊工程研究所 === 103 === With the prevalence of the Internet, the professional knowledge in different domains can be accessed on the Internet. Through the Internet, users can acquire large amount of information. Laws & Regulations Database of The Republic of China, which is a governmental website, provides the current Chinese law text for users. But the problem is that we have a large number of law texts but lack of structured methods in writing. This thesis aims to provide an easy way for users to access professional knowledge and reduce time on searching and reading. In this thesis, we use current Chinese law text from Taiwan law database as data source. We also utilize the Natural language processing tool and the data mining mechanisms to automatically extract legal keywords and mine the definition of legal keywords. In the next step, we construct Taiwan law ontology with the legal keywords and relative definitions. We also provide the service on the web such that users can access the legal information on the Internet. In the result, we get 1114 legal keywords with definitions. With the characteristics of ontology, users can view not only one keyword and its information, but also the associated keywords. For the web interface, we provide graphical and text interfaces for users to browse legal knowledge.