@inproceedings{9722a03a6c27457bbb8ef10c032dab63,
title = "Building concept graphs using wikipedia",
abstract = "This paper proposes a novel way of automatically building a concept graph containing {\textquoteleft}ISA{\textquoteright} and {\textquoteleft}ASSO{\textquoteright} relationships by probabilistically analyzing connected hyperlinks within the Wikipedia articles. The concept graph can be built up by connecting four types of concept pairs: relational concept pairs, infobox concept pairs, category concept pairs and synopsis anchor concept pairs. The {\textquoteleft}ISA{\textquoteright} relationship of concept pairs can be determined by computing the subsumption probabilities between incoming links of upper concepts and outgoing links of lower concepts, which is internally represented as a partial ordering matrix. If the difference of subsumption probabilities for two concepts is small, then such a concept pair allows to define the {\textquoteleft}ASSO{\textquoteright} relationship. Our prototype system can produce a highly reasonable concept graph that contains not only noun-level concepts but also proper noun-level concepts form the Wikipedia articles. We confirm that the concept graph can be used as a knowledge base for developing various types of text applications.",
author = "Lee, {Ga Hui} and Hong, {Ki Joo} and Kim, {Han Joon}",
note = "Publisher Copyright: {\textcopyright} 2016 Taylor & Francis Group.; International Conference on Applied System Innovation, ICASI 2015 ; Conference date: 22-05-2015 Through 27-05-2015",
year = "2016",
doi = "10.1201/b21811-42",
language = "English",
isbn = "9781138028937",
series = "Applied System Innovation - Proceedings of the International Conference on Applied System Innovation, ICASI 2015",
publisher = "CRC Press/Balkema",
pages = "187--191",
editor = "Teen-Hang Meen and Prior, {Stephen D.} and Lam, {Artde Donald Kin-Tak}",
booktitle = "Applied System Innovation - Proceedings of the International Conference on Applied System Innovation, ICASI 2015",
}