Relation extraction for ontology extension using integrated evidences

Pao Yue-kong Library Electronic Theses Database

Relation extraction for ontology extension using integrated evidences

 

Author: Chen, Yirong
Title: Relation extraction for ontology extension using integrated evidences
Degree: Ph.D.
Year: 2011
Subject: Ontologies (Information retrieval)
Data mining
Knowledge acquisition (Expert systems)
Hong Kong Polytechnic University -- Dissertations
Department: Dept. of Computing
Pages: x, 235 p. : ill. ; 30 cm.
InnoPac Record: http://library.polyu.edu.hk/record=b2456189
URI: http://theses.lib.polyu.edu.hk/handle/200/6178
Abstract: Ontology is a valuable resource for many domain specific applications where domain knowledge is needed. With the rapid development in science and technology, new terminology and associated concepts must also be updated in the ontology to suit for real time applications. Current methods of manual construction of ontology is too time consuming and difficult to update. Thus automatic extension of ontology is especially needed. In this study, investigation to terminology extraction is first carried out. In addition to unit-hood measurement, this work further studies how to take domain specific knowledge to further measure term-hood to improved terminology extraction algorithms. After a thorough review of existing ontology resources, this study further investigates how to map the extracted terminology to a domain specific ontology. Given a core ontology, the key issue is how to find the relationships of the new terms to the concepts of the ontology. The investigation focuses on the extraction of kind-of relations. The work is divided into three steps: (1) To design effective algorithms to extract terms from domain corpus with good accuracy; (2) To investigate effective techniques to extract relations between concepts especially kind-of relations; (3) To link obtained ontology to upper ontology. The contributions of this work are three folds: (1) An effective term extraction algorithm is proposed based on the measures of both linguistic unit and domain specificity; (2) Algorithm of relation extraction is designed to construct domain ontology using multiple evidences; and (3) the construction and mapping of a core ontology to the upper ontology to ensure interoperability with other domain ontologies.

Files in this item

Files Size Format
b24561897.pdf 1.780Mb PDF
Copyright Undertaking
As a bona fide Library user, I declare that:
  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

     

Quick Search

Browse

More Information