Abstract
Currently, challenges in Information Retrieval are very closely related to the Semantic Web technology. Therefore, in this paper, we reported the current issue relating to semantic retrieval with main focus on ontology-based search. In order to support the presented issue, a retrieval evaluation on current semantic search engine was done to identify the current state of the retrieval performance on the Web. Several semantic search engines were selected and tested with a list of verified queries in the focused domain. The results showed that the precision of the retrieval still needs an improvement. Finally, based on existing publication and the demand from real-world applications, we proposed an initial conceptual framework
for implementing semantic retrieval on the Web.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Azizan, Azilawati azila899@perak.uitm.edu.my Abu Bakar, Zainab UNSPECIFIED Abd Rahman, Nurazzah UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Analysis Q Science > QA Mathematics > Online data processing |
Divisions: | Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences |
Journal or Publication Title: | Multidisciplinary Informatics Journal |
UiTM Journal Collections: | Others > Multidisciplinary Informatics Journal - DISCONTINUE |
ISSN: | 2637-0042 |
Volume: | 1 |
Number: | 2 |
Page Range: | pp. 111-118 |
Keywords: | Semantic Web; Ontology-Based Information Retrieval; Semantic Search |
Date: | December 2018 |
URI: | https://ir.uitm.edu.my/id/eprint/39811 |