DocumentCode
2498177
Title
Semantic Technology: An Efficient Approach to Monogenean Information Retrieval
Author
Alfred, S. ; Arpah, A. ; Lim, L.H.S. ; Sarinder, K.K.S.
Author_Institution
Biodatabase & Inf. Archit. Lab. (BIAL), Univ. of Malaya, Kuala Lumpur, Malaysia
fYear
2010
fDate
23-25 April 2010
Firstpage
591
Lastpage
594
Abstract
Biological data is huge and increasing rapidly therefore data storing and mining will become major challenges. We have encountered several key problems related to limitations in the database management system (DBMS) used and information retrieval in our in-house Monogenean-host database. In this paper we will be presenting the ontology developed that is specific to our dataset using semantic technology to overcome these problems. Our Taxonomy ontology is built based on accepted taxonomic classification system and semantic key identifier therefore problems in information retrieval are minimized. Our focus is on the images used in taxonomy and how to retrieve them based on semantic identifiers.
Keywords
image retrieval; information retrieval; ontologies (artificial intelligence); database management system; monogenean information retrieval; semantic technology; taxonomy ontology; Biodiversity; Bioinformatics; Biology; Database systems; Informatics; Information retrieval; OWL; Ontologies; Relational databases; Resource description framework; Monogenean; information retrieval; ontology; semantic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Network Technology (ICCNT), 2010 Second International Conference on
Conference_Location
Bangkok
Print_ISBN
978-0-7695-4042-9
Electronic_ISBN
978-1-4244-6962-8
Type
conf
DOI
10.1109/ICCNT.2010.127
Filename
5474430
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