Domain-Specific Hyponym Relations
|Item Name:||Domain-Specific Hyponym Relations|
|Author(s):||Jun Liu, Bifan Wei, Jian Ma, Chenchen Wang|
|LDC Catalog No.:||LDC2014T07|
|Release Date:||April 14, 2014|
|Data Source(s):||web collection|
|Application(s):||relation extraction, information extraction|
|License(s):||Creative Commons Attribution-NonCommercial-ShareAlike 3.0 (FP) Creative Commons Attribution-NonCommercial-ShareAlike 3.0 (NFP, Non-Member)|
|Online Documentation:||LDC2014T07 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Liu, Jun, et al. Domain-Specific Hyponym Relations LDC2014T07. Web Download. Philadelphia: Linguistic Data Consortium, 2014.|
Domain-Specific Hyponym Relations was developed by the Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Technology at Xi'an Jiaotung University, Xi'an, Shaanxi, China. It provides more than 5,000 English hyponym relations in five domains including data mining, computer networks, data structures, Euclidean geometry and microbiology. All hypernym and hyponym words were taken from Wikipedia article titles.
A hyponym relation is a word sense relation that is an IS-A relation. For example, dog is a hyponym of animal and binary tree is a hyponym of tree structure. Among the applications for domain-specific hyponym relations are taxonomy and ontology learning, query result organization in a faceted search and knowledge organization and automated reasoning in knowledge-rich applications.
The data is presented in XML format, and each file provides hyponym relations in one domain. Within each file, the term, Wikipedia URL, hyponym relation and the names of the hyponym and hypernym words are included. The distribution of terms and relations is set forth in the table below:
Please view this sample.
None at this time.