oai:www.ldc.upenn.edu:LDC2014T07
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OLAC Record oai:www.ldc.upenn.edu:LDC2014T07 |
| Metadata | ||
| Title: | Domain-Specific Hyponym Relations | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Liu, Jun, et al. Domain-Specific Hyponym Relations LDC2014T07. Web Download. Philadelphia: Linguistic Data Consortium, 2014 | |
| Contributor: | Liu, Jun | |
| Wei, Bifan | ||
| Ma, Jian | ||
| Wang, Chenchen | ||
| Date (W3CDTF): | 2014 | |
| Date Issued (W3CDTF): | 2014-04-14 | |
| Description: | *Introduction* 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. *Data* 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: Dataset Terms Hyponym Relations Data Mining 278 364 Computer Network 336 399 Data Structure 315 578 Euclidean Geometry 455 690 Microbiology 1,028 3,533 *Samples* Please view this sample. *Updates* None at this time. | |
| Extent: | Corpus size: 13648 KB | |
| Identifier: | LDC2014T07 | |
| https://catalog.ldc.upenn.edu/LDC2014T07 | ||
| ISBN: 1-58563-673-8 | ||
| ISLRN: 382-492-972-333-8 | ||
| DOI: 10.35111/9hpq-hv57 | ||
| Language: | English | |
| Language (ISO639): | eng | |
| License: | Creative Commons Attribution-NonCommercial-ShareAlike 3.0 (FP): https://catalog.ldc.upenn.edu/license/creative-commons-attribution-noncommercial-sharealike-3-dot-0-fp.pdf | |
| Creative Commons Attribution-NonCommercial-ShareAlike 3.0 (NFP, Non-Member): https://catalog.ldc.upenn.edu/license/creative-comons-attribution-noncommercial-sharealike-3-dot-0-unported.pdf | ||
| Medium: | Distribution: Web Download | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2014T07 | |
| Rights Holder: | Portions © 2014 Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Technology, © 2014 Trustees of the University of Pennsylvania | |
| Type (DCMI): | Text | |
| Type (OLAC): | primary_text | |
OLAC Info |
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| Archive: | The LDC Corpus Catalog | |
| Description: | http://www.language-archives.org/archive/www.ldc.upenn.edu | |
| GetRecord: | OAI-PMH request for OLAC format | |
| GetRecord: | Pre-generated XML file | |
OAI Info |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2014T07 | |
| DateStamp: | 2020-11-30 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Liu, Jun; Wei, Bifan; Ma, Jian; Wang, Chenchen. 2014. Linguistic Data Consortium. | |
| Terms: | area_Europe country_GB dcmi_Text iso639_eng olac_primary_text | |