Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101369
Title: A method for extracting causal knowledge from textual databases
Authors: Chan, Syin
Niu, Yun
Ang, Alyssa
Khoo, Christopher S. G.
Keywords: DRNTU::Library and information science::Knowledge management
Issue Date: 1999
Source: Khoo, C. S. G., Chan, S., Niu, Y., & Ang, A. (1999). A method for extracting causal knowledge from textual databases. Singapore journal of library & information management, 28, 48-63.
Series/Report no.: Singapore journal of library & information management
Abstract: This paper describes the first phase of a project to develop a knowledge extraction and knowledge discovery system that extracts causal knowledge from a textual database automatically, and attempts to infer new causal relationships from the extracted information. The initial work is focused on developing an automatic method for identifying and extracting cause-effect information expressed in medical abstracts. Linguistic clues that indicate the presence of a causal relation in text are being identified, and linguistic patterns constructed to represent the different ways in which cause and effect are expressed in English sentences. The linguistic patterns have “slots” that indicate the parts of the sentence representing the cause and the effect. The information extraction process involves matching the linguistic patterns with the syntactic structure of sentences, and extracting the parts of the sentence that match with the slots in the patterns. The extracted information is stored in a structured manner in a “cause-effect template” that indicates the different roles and attributes of the causal situation described in the text.
URI: https://hdl.handle.net/10356/101369
http://hdl.handle.net/10220/18370
ISSN: 0085-6118
Rights: © 1999 The Authors. This is the author created version of a work that has been peer reviewed and accepted for publication in Singapore Journal of Library & Information Management, published by Library Association of Singapore on behalf of the authors. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The published version is available at: [http://www.las.org.sg/wp/resources/publications/sjlim1/].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

Files in This Item:
File Description SizeFormat 
khoo_chan_niu_ang.causal_knowledge.1999.pdf83.81 kBAdobe PDFThumbnail
View/Open

Page view(s) 5

885
Updated on Sep 29, 2022

Download(s) 20

275
Updated on Sep 29, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.