TY - GEN
T1 - Clustering and summarization topics of subject knowledge through analyzing internal links of Wikipedia
AU - Wu, I. Chin
AU - Tsai, Chi Hong
AU - Lin, Yu Hsuan
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Intrinsic evaluation
KW - Navigation application
KW - Social network analysis
KW - Summarization
UR - http://www.scopus.com/inward/record.url?scp=84891111229&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891111229&partnerID=8YFLogxK
U2 - 10.1109/IRI.2013.6642458
DO - 10.1109/IRI.2013.6642458
M3 - Conference contribution
AN - SCOPUS:84891111229
SN - 9781479910502
T3 - Proceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013
SP - 90
EP - 96
BT - Proceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013
PB - IEEE Computer Society
T2 - 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013
Y2 - 14 August 2013 through 16 August 2013
ER -