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Authors: Zheng Fang ; Jie Wang ; Benyuan Liu and Weibo Gong

Affiliation: University of Massachusetts, United States

ISBN: 978-989-8425-79-9

Keyword(s): Knowledge network, Statistics, Power law, Degree distribution, Betweenness centrality, Clustering coefficient, Wikipedia, MathWorld.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Data Analytics ; Data Engineering ; Data Reduction and Quality Assessment ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Structured Data Analysis and Statistical Methods ; Symbolic Systems

Abstract: This paper investigates knowledge networks of specific domains extracted from Wikipedia and performs statistical measurements to selected domains. In particular, we first present an efficient method to extract a specific domain knowledge network from Wikipedia. We then extract four domain networks on, respectively, mathematics, physics, biology, and chemistry. We compare the mathematics domain network extracted from Wikipedia with MathWorld, the web’s most extensive mathematical resource created and maintained by professional mathematicians, and show that they are statistically similar to each other. This indicates that MathWorld and Wikipedia’s mathematics domain knowledge share a similar internal structure. Such information may be useful for investigating knowledge networks.

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Paper citation in several formats:
Fang, Z.; Wang, J.; Liu, B. and Gong, W. (2011). WIKIPEDIA AS DOMAIN KNOWLEDGE NETWORKS - Domain Extraction and Statistical Measurement.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 151-157. DOI: 10.5220/0003633001590165

@conference{kdir11,
author={Zheng Fang. and Jie Wang. and Benyuan Liu. and Weibo Gong.},
title={WIKIPEDIA AS DOMAIN KNOWLEDGE NETWORKS - Domain Extraction and Statistical Measurement},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={151-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003633001590165},
isbn={978-989-8425-79-9},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - WIKIPEDIA AS DOMAIN KNOWLEDGE NETWORKS - Domain Extraction and Statistical Measurement
SN - 978-989-8425-79-9
AU - Fang, Z.
AU - Wang, J.
AU - Liu, B.
AU - Gong, W.
PY - 2011
SP - 151
EP - 157
DO - 10.5220/0003633001590165

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