# Difference between revisions of "Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model"

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== Overview == | == Overview == | ||

In this paper authors present a new approach for the automatic identification of domain-relevant concepts and entities of a given domain using the category and page structures of the [[Wikipedia]] in a language independent way. By applying Markov random walk algorithm on the weighted Wikipedia link graph, approach can identify large quantities of domain-relevant concepts and entities with very little human effort. Experimental results show that method achieves high accuracy and acceptable efficiency in domain-relevant term extraction. | In this paper authors present a new approach for the automatic identification of domain-relevant concepts and entities of a given domain using the category and page structures of the [[Wikipedia]] in a language independent way. By applying Markov random walk algorithm on the weighted Wikipedia link graph, approach can identify large quantities of domain-relevant concepts and entities with very little human effort. Experimental results show that method achieves high accuracy and acceptable efficiency in domain-relevant term extraction. | ||

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+ | == Embed == | ||

+ | === Wikipedia Quality === | ||

+ | <code> | ||

+ | <nowiki> | ||

+ | Wu, Wenjuan; Liu, Tao; Hu, He; Du, Xiaoyong. (2012). "[[Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model]]".DOI: 10.1109/ChinaGrid.2012.20. | ||

+ | </nowiki> | ||

+ | </code> | ||

+ | |||

+ | === English Wikipedia === | ||

+ | <code> | ||

+ | <nowiki> | ||

+ | {{cite journal |last1=Wu |first1=Wenjuan |last2=Liu |first2=Tao |last3=Hu |first3=He |last4=Du |first4=Xiaoyong |title=Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model |date=2012 |doi=10.1109/ChinaGrid.2012.20 |url=https://wikipediaquality.com/wiki/Extracting_Domain-Relevant_Term_Using_Wikipedia_based_on_Random_Walk_Model}} | ||

+ | </nowiki> | ||

+ | </code> | ||

+ | |||

+ | === HTML === | ||

+ | <code> | ||

+ | <nowiki> | ||

+ | Wu, Wenjuan; Liu, Tao; Hu, He; Du, Xiaoyong. (2012). &quot;<a href="https://wikipediaquality.com/wiki/Extracting_Domain-Relevant_Term_Using_Wikipedia_based_on_Random_Walk_Model">Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model</a>&quot;.DOI: 10.1109/ChinaGrid.2012.20. | ||

+ | </nowiki> | ||

+ | </code> |

## Revision as of 22:04, 12 August 2019

Authors | Wenjuan Wu Tao Liu He Hu Xiaoyong Du |
---|---|

Publication date | 2012 |

DOI | 10.1109/ChinaGrid.2012.20 |

Links | Original |

**Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model** - scientific work related to Wikipedia quality published in 2012, written by Wenjuan Wu, Tao Liu, He Hu and Xiaoyong Du.

## Overview

In this paper authors present a new approach for the automatic identification of domain-relevant concepts and entities of a given domain using the category and page structures of the Wikipedia in a language independent way. By applying Markov random walk algorithm on the weighted Wikipedia link graph, approach can identify large quantities of domain-relevant concepts and entities with very little human effort. Experimental results show that method achieves high accuracy and acceptable efficiency in domain-relevant term extraction.

## Embed

### Wikipedia Quality

```
Wu, Wenjuan; Liu, Tao; Hu, He; Du, Xiaoyong. (2012). "[[Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model]]".DOI: 10.1109/ChinaGrid.2012.20.
```

### English Wikipedia

```
{{cite journal |last1=Wu |first1=Wenjuan |last2=Liu |first2=Tao |last3=Hu |first3=He |last4=Du |first4=Xiaoyong |title=Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model |date=2012 |doi=10.1109/ChinaGrid.2012.20 |url=https://wikipediaquality.com/wiki/Extracting_Domain-Relevant_Term_Using_Wikipedia_based_on_Random_Walk_Model}}
```

### HTML

```
Wu, Wenjuan; Liu, Tao; Hu, He; Du, Xiaoyong. (2012). "<a href="https://wikipediaquality.com/wiki/Extracting_Domain-Relevant_Term_Using_Wikipedia_based_on_Random_Walk_Model">Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model</a>".DOI: 10.1109/ChinaGrid.2012.20.
```