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  1. Home
  2. Staff Publications
  3. Scopus
  4. Synonymous non-taxonomic relations extraction
 
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Synonymous non-taxonomic relations extraction

Journal
ARPN Journal of Engineering and Applied Sciences
Date Issued
2015
Author(s)
Nur Fatin Nabila Mohd Rafei Heng 
Universiti Sains Islam Malaysia 
Nurlida Basir 
Universiti Sains Islam Malaysia 
Mamat A.
Abstract
Construction of ontology is a difficult task, expensive and time-consuming. Concept, taxonomy and nontaxonomic relations, are the three important components in the development of ontology. These three components are used to represent the whole domain texts. Currently, most of studies focused on extracting the concept, the taxonomic relationships and the non-taxonomic relationships within the scope of single sentence. In order to enrich the domain ontology, we introduced a method to extract the non-taxonomic relations by using the similarities of relations that exist in more than one sentence. The most appropriate predicate are used as a reference to relate between concepts that occur not only in the same sentence, but also in different sentences. Here, the proposed method was tested using a collection of domain texts that described electronic voting machine and are evaluated based on the standard information retrieval performance metrics, i.e. precision and recall. 2006-2015 Asian Research Publishing Network (ARPN).
Subjects

Non-taxonomic

Ontology

Predicate

Semantic

Taxonomic

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