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
Link To Document :
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