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Semantic Technology: An Efficient Approach to Monogenean Information Retrieval

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4 Author(s)
Alfred, S. ; Biodatabase & Inf. Archit. Lab. (BIAL), Univ. of Malaya, Kuala Lumpur, Malaysia ; Arpah, A. ; Lim, L.H.S. ; Sarinder, K.K.S.

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.

Published in:

Computer and Network Technology (ICCNT), 2010 Second International Conference on

Date of Conference:

23-25 April 2010