Difference between revisions of "An Automatic Method for Wordnet Concept Enrichment Using Wikipedia Titles"
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| + | | title = An Automatic Method for Wordnet Concept Enrichment Using Wikipedia Titles | ||
| + | | date = 2011 | ||
| + | | authors = [[Myunggwon Hwang]]<br />[[Dongjin Choi]]<br />[[Byeongkyu Ko]]<br />[[Junho Choi]]<br />[[Pankoo Kim]] | ||
| + | | doi = 10.1007/978-3-0348-0031-0_18 | ||
| + | | link = https://link.springer.com/chapter/10.1007/978-3-0348-0031-0_18 | ||
| + | }} | ||
'''An Automatic Method for Wordnet Concept Enrichment Using Wikipedia Titles''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Myunggwon Hwang]], [[Dongjin Choi]], [[Byeongkyu Ko]], [[Junho Choi]] and [[Pankoo Kim]]. | '''An Automatic Method for Wordnet Concept Enrichment Using Wikipedia Titles''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Myunggwon Hwang]], [[Dongjin Choi]], [[Byeongkyu Ko]], [[Junho Choi]] and [[Pankoo Kim]]. | ||
== Overview == | == Overview == | ||
Knowledge bases such as [[WordNet]] are positively utilized for [[semantic information]] processing. However, much research indicates that the existing knowledge bases cannot cover all of concepts used in talking and writing in real world. To solve this limitation, this research suggests a method which enriches WordNet concepts through analyzing [[Wikipedia]] document set. Wikipedia currently contains documents more than 3.2 million and it describes tangible and intangible objects in detail. Moreover, it is continuously grown with new subjects and contents by domain-specific specialists. Therefore, the Wikipedia contents can be usefully used for knowledge base enrichment. | Knowledge bases such as [[WordNet]] are positively utilized for [[semantic information]] processing. However, much research indicates that the existing knowledge bases cannot cover all of concepts used in talking and writing in real world. To solve this limitation, this research suggests a method which enriches WordNet concepts through analyzing [[Wikipedia]] document set. Wikipedia currently contains documents more than 3.2 million and it describes tangible and intangible objects in detail. Moreover, it is continuously grown with new subjects and contents by domain-specific specialists. Therefore, the Wikipedia contents can be usefully used for knowledge base enrichment. | ||
Revision as of 08:40, 21 May 2020
Authors | Myunggwon Hwang Dongjin Choi Byeongkyu Ko Junho Choi Pankoo Kim |
|---|---|
Publication date | 2011 |
DOI | 10.1007/978-3-0348-0031-0_18 |
Links | Original |
An Automatic Method for Wordnet Concept Enrichment Using Wikipedia Titles - scientific work related to Wikipedia quality published in 2011, written by Myunggwon Hwang, Dongjin Choi, Byeongkyu Ko, Junho Choi and Pankoo Kim.
Overview
Knowledge bases such as WordNet are positively utilized for semantic information processing. However, much research indicates that the existing knowledge bases cannot cover all of concepts used in talking and writing in real world. To solve this limitation, this research suggests a method which enriches WordNet concepts through analyzing Wikipedia document set. Wikipedia currently contains documents more than 3.2 million and it describes tangible and intangible objects in detail. Moreover, it is continuously grown with new subjects and contents by domain-specific specialists. Therefore, the Wikipedia contents can be usefully used for knowledge base enrichment.
