Difference between revisions of "Clustering and Summarization Topics of Subject Knowledge Through Analyzing Internal Links of Wikipedia"
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== Overview == | == Overview == | ||
This work introduces a semantics-based navigation application called WNavi s . It facilitates informationseeking activities in internal link-based websites within [[Wikipedia]]. Authors goal is to develop an application that helps users easily find related articles on a given topic and then quickly check the content of articles to explore concepts in Wikipedia. Authors constructed a subject-based network by analyzing the internal links of Wikipedia and applying a semantic [[relatedness]] analysis to measure the strength of the semantic relationships between articles. In order to locate specific information and enable users to quickly explore and read subject-related articles, authors propose a [[social network]] analysis (SNA)-based topic summarization technique that extracts meaningful sentences from articles. Authors applied a number of intrinsic evaluation methods to demonstrate the efficacy of the summarization techniques. Authors findings have implications for the design of a navigation tool that can help users explore topics and increase their subject knowledge. | This work introduces a semantics-based navigation application called WNavi s . It facilitates informationseeking activities in internal link-based websites within [[Wikipedia]]. Authors goal is to develop an application that helps users easily find related articles on a given topic and then quickly check the content of articles to explore concepts in Wikipedia. Authors constructed a subject-based network by analyzing the internal links of Wikipedia and applying a semantic [[relatedness]] analysis to measure the strength of the semantic relationships between articles. In order to locate specific information and enable users to quickly explore and read subject-related articles, authors propose a [[social network]] analysis (SNA)-based topic summarization technique that extracts meaningful sentences from articles. Authors applied a number of intrinsic evaluation methods to demonstrate the efficacy of the summarization techniques. Authors findings have implications for the design of a navigation tool that can help users explore topics and increase their subject knowledge. | ||
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+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Wu, I-Chin; Tsai, Chi-Hong; Lin, Yu-Hsuan. (2013). "[[Clustering and Summarization Topics of Subject Knowledge Through Analyzing Internal Links of Wikipedia]]".DOI: 10.1109/IRI.2013.6642458. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{cite journal |last1=Wu |first1=I-Chin |last2=Tsai |first2=Chi-Hong |last3=Lin |first3=Yu-Hsuan |title=Clustering and Summarization Topics of Subject Knowledge Through Analyzing Internal Links of Wikipedia |date=2013 |doi=10.1109/IRI.2013.6642458 |url=https://wikipediaquality.com/wiki/Clustering_and_Summarization_Topics_of_Subject_Knowledge_Through_Analyzing_Internal_Links_of_Wikipedia}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Wu, I-Chin; Tsai, Chi-Hong; Lin, Yu-Hsuan. (2013). &quot;<a href="https://wikipediaquality.com/wiki/Clustering_and_Summarization_Topics_of_Subject_Knowledge_Through_Analyzing_Internal_Links_of_Wikipedia">Clustering and Summarization Topics of Subject Knowledge Through Analyzing Internal Links of Wikipedia</a>&quot;.DOI: 10.1109/IRI.2013.6642458. | ||
+ | </nowiki> | ||
+ | </code> |
Revision as of 08:05, 14 January 2021
Authors | I-Chin Wu Chi-Hong Tsai Yu-Hsuan Lin |
---|---|
Publication date | 2013 |
DOI | 10.1109/IRI.2013.6642458 |
Links | Original |
Clustering and Summarization Topics of Subject Knowledge Through Analyzing Internal Links of Wikipedia - scientific work related to Wikipedia quality published in 2013, written by I-Chin Wu, Chi-Hong Tsai and Yu-Hsuan Lin.
Overview
This work introduces a semantics-based navigation application called WNavi s . It facilitates informationseeking activities in internal link-based websites within Wikipedia. Authors goal is to develop an application that helps users easily find related articles on a given topic and then quickly check the content of articles to explore concepts in Wikipedia. Authors constructed a subject-based network by analyzing the internal links of Wikipedia and applying a semantic relatedness analysis to measure the strength of the semantic relationships between articles. In order to locate specific information and enable users to quickly explore and read subject-related articles, authors propose a social network analysis (SNA)-based topic summarization technique that extracts meaningful sentences from articles. Authors applied a number of intrinsic evaluation methods to demonstrate the efficacy of the summarization techniques. Authors findings have implications for the design of a navigation tool that can help users explore topics and increase their subject knowledge.
Embed
Wikipedia Quality
Wu, I-Chin; Tsai, Chi-Hong; Lin, Yu-Hsuan. (2013). "[[Clustering and Summarization Topics of Subject Knowledge Through Analyzing Internal Links of Wikipedia]]".DOI: 10.1109/IRI.2013.6642458.
English Wikipedia
{{cite journal |last1=Wu |first1=I-Chin |last2=Tsai |first2=Chi-Hong |last3=Lin |first3=Yu-Hsuan |title=Clustering and Summarization Topics of Subject Knowledge Through Analyzing Internal Links of Wikipedia |date=2013 |doi=10.1109/IRI.2013.6642458 |url=https://wikipediaquality.com/wiki/Clustering_and_Summarization_Topics_of_Subject_Knowledge_Through_Analyzing_Internal_Links_of_Wikipedia}}
HTML
Wu, I-Chin; Tsai, Chi-Hong; Lin, Yu-Hsuan. (2013). "<a href="https://wikipediaquality.com/wiki/Clustering_and_Summarization_Topics_of_Subject_Knowledge_Through_Analyzing_Internal_Links_of_Wikipedia">Clustering and Summarization Topics of Subject Knowledge Through Analyzing Internal Links of Wikipedia</a>".DOI: 10.1109/IRI.2013.6642458.