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  1. Home
  2. Staff Publications
  3. Scopus
  4. Domain-Specific Inter-textual Non-taxonomic Extraction (DSINTE)
 
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Domain-Specific Inter-textual Non-taxonomic Extraction (DSINTE)

Journal
Proceedings - UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, UKSim 2015
Date Issued
2016
Author(s)
Nur Fatin Nabila Mohd Rafei Heng 
Universiti Sains Islam Malaysia 
Nurlida Basir 
Universiti Sains Islam Malaysia 
Madihah Mohd Saudi 
Universiti Sains Islam Malaysia 
Mamat A.
Azmi-Murad M.A.
Mustapha N.
Deris M.M.
DOI
10.1109/UKSim.2015.91
Abstract
Non-taxonomic relation is one of the most important components in ontology to describe a domain. Currently, most studies focused on extracting non-taxonomic relationships from text within the scope of single sentence. The predicate between two concepts (i.e. subject and object) that appear in a same sentence is extracted as potential relation. Therefore the number of identified relations is less that what it could be and does not properly represent the domain. In this paper, we introduced a method named Domain-specific Inter-textual nontaxonomic extraction (DSINTE) to extract the non-taxonomic relations between two concepts that appear not only in a single sentence but also in different sentences. The proposed method has been illustrated using a collection of domain texts from New York Times website. Recall metrics have been used to evaluate the results of the experiments..
Subjects

non-taxonomic

Ontology

predicate

support count

Circuit simulation

Computer science

Computers

Ontology

Software engineering

Domain specific

New york time

non-taxonomic

predicate

Support count

Extraction

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