Citation
Mohd Rafei Heng, Nur Fatin Nabila
(2016)
A method to enrich domain ontology using synonym and probability theory.
Doctoral thesis, Universiti Putra Malaysia.
Abstract
Ontology has become a popular topic of research for numerous areas of
computer science, such as question answering, information retrieval, and use of
the semantic web. Considerable efforts have been made in constructing
ontologies due to the complexity and time-consuming nature of the task.
Concept, taxonomy, and non-taxonomic relations are three important
components in the development of ontology. These three components are used
to represent the knowledge of the domain texts. Most of the existing techniques
focus on extracting the concept, the taxonomic relations, and non-taxonomic
relationships within a single sentence. These techniques neglect a sentence
when either the subject or object of a sentence is missing or not clear. Thus, the
knowledge of domain texts is not properly represented as some relations cannot
be identified. This thesis proposes a solution for the enrichment of the knowledge
of domain text by finding possible relations. The proposed method suggests the
appropriate or the most likely term for an uncertain subject or object of a
sentence using the probability theory. In addition, the method can extract the
relations between concepts (i.e. subject and object) that appear not only in a
single sentence, but also in different sentences by using a synonym of the
predicates. The proposed method has been tested and evaluated with three
collections of domain texts that describe computers, tourism, and science.
Precision, recall, and f-score metrics have been used to evaluate the results of
the experiments. The experiment results were compared with the results that
were completed manually by the domain experts. For the computer dataset, an
F-score value of 62.33% has been achieved using the proposed solution.
Additionally, the science dataset achieved an F-score of 78.98%, whereas the
tourism dataset achieved an F-score of 81.58%. The result shows that the
proposed method has increased and enriched the relationships of domain texts
thus providing better results compared to several existing methods. The method
is shown to be useful to assist ontology engineer in conceptualization process of
ontology engineering.
Download File
Additional Metadata
Actions (login required)
 |
View Item |
