A method of extraction and visualisation for relationships among objects on web Online publication date: Wed, 25-Sep-2013
by Kazuhiro Morita; Takuki Ogawa; Hiroya Kitagawa; Masao Fuketa; Jun-ichi Aoe
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 12, No. 3/4, 2013
Abstract: Relations with other objects are sure to exist in one object such as the persons, things and the enterprises. The structure related to these objects is called a social network. In recent years, the extraction of object relationships using web corpora is researched to visualise a social network. This paper aims to extract object relationships including the direction of the relation considering context information. In the proposal method, related words that are objects related to the object given as an input word are acquired at first. And object relationships between an input word and each related word are extracted. Moreover, the system that visualises related words and the object relationships as a correlation diagram is implemented. From the experiment for extraction of object relationships, the accuracy of the correct answer rate of 80% or more, was obtained by using the proposal method.
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