Domain-Specific Hyponym Relations
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https://catalog.ldc.upenn.edu/LDC2014T07
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<h3>Introduction</h3><br>
<p>Domain-Specific Hyponym Relations was developed by the Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Technology at <a href="http://en.xjtu.edu.cn/">Xi'an Jiaotung University</a>, 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.</p><br>
<p>A hyponym relation is a word sense relation that is an <em>IS-A</em> relation. For example, <em>dog</em> is a hyponym of <em>animal</em> and <em>binary tree</em> is a hyponym of <em>tree structure</em>. 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.</p><br>
<h3>Data</h3><br>
<p>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:</p><br>
<table><br>
<tbody><br>
<tr><br>
<td>Dataset</td><br>
<td>Terms</td><br>
<td>Hyponym Relations</td><br>
</tr><br>
<tr><br>
<td>Data Mining</td><br>
<td>278</td><br>
<td>364</td><br>
</tr><br>
<tr><br>
<td>Computer Network</td><br>
<td>336</td><br>
<td>399</td><br>
</tr><br>
<tr><br>
<td>Data Structure</td><br>
<td>315</td><br>
<td>578</td><br>
</tr><br>
<tr><br>
<td>Euclidean Geometry</td><br>
<td>455</td><br>
<td>690</td><br>
</tr><br>
<tr><br>
<td>Microbiology</td><br>
<td>1,028</td><br>
<td>3,533</td><br>
</tr><br>
</tbody><br>
</table><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2014T07.jpg" rel="nofollow">sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2014 Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Technology, © 2014 Trustees of the University of Pennsylvania
提供机构:
Linguistic Data Consortium
创建时间:
2020-11-30



