Clustering and summarization topics of subject knowledge through analyzing internal links of Wikipedia

I. Chin Wu, Chi Hong Tsai, Yu Hsuan Lin

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

This work introduces a semantics-based navigation application called WNavis. It facilitates informationseeking activities in internal link-based websites within Wikipedia. Our 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. We 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, we propose a social network analysis (SNA)-based topic summarization technique that extracts meaningful sentences from articles. We applied a number of intrinsic evaluation methods to demonstrate the efficacy of the summarization techniques. Our findings have implications for the design of a navigation tool that can help users explore topics and increase their subject knowledge.

原文英語
主出版物標題Proceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013
發行者IEEE Computer Society
頁面90-96
頁數7
ISBN(列印)9781479910502
DOIs
出版狀態已發佈 - 2013 一月 1
對外發佈
事件2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013 - San Francisco, CA, 美国
持續時間: 2013 八月 142013 八月 16

出版系列

名字Proceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013

會議

會議2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013
國家/地區美国
城市San Francisco, CA
期間2013/08/142013/08/16

ASJC Scopus subject areas

  • 資訊系統

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