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dc.contributor.authorAbu, A.
dc.contributor.authorLim, L.
dc.contributor.authorSidhu, Amandeep
dc.contributor.authorDhillon, S.
dc.date.accessioned2017-01-30T11:10:23Z
dc.date.available2017-01-30T11:10:23Z
dc.date.created2013-03-07T20:00:34Z
dc.date.issued2013
dc.identifier.citationAbu, Arpah and Lim, Lee Hong and Sidhu, Amandeep and Dhillon, Sarinder. 2013. Semantic representation of monogenean haptoral Bar image annotation. BMC Bioinformatics. 14: 48.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/9069
dc.identifier.doi10.1186/1471-2105-14-48
dc.description.abstract

Background Digitised monogenean images are usually stored in file system directories in an unstructured manner. In this paper we propose a semantic representation of these images in the form of a Monogenean Haptoral Bar Image (MHBI) ontology, which are annotated with taxonomic classification, diagnostic hard part and image properties. The data we used are basically of the monogenean species found in fish, thus we built a simple Fish ontology to demonstrate how the host (fish) ontology can be linked to the MHBI ontology. This will enable linking of information from the monogenean ontology to the host species found in the fish ontology without changing the underlying schema for either of the ontologies. Results In this paper, we utilized the Taxonomic Data Working Group Life Sciences Identifier (TDWG LSID) vocabulary to represent our data and defined a new vocabulary which is specific for annotating monogenean haptoral bar images to develop the MHBI ontology and a merged MHBI-Fish ontologies. These ontologies are successfully evaluated using five criteria which are clarity, coherence, extendibility, ontology commitment and encoding bias Conclusions In this paper, we show that unstructured data can be represented in a structured form using semantics. In the process, we have come up with a new vocabulary for annotating the monogenean images with textual information. The proposed monogenean image ontology will form the basis of a monogenean knowledge base to assist researchers in retrieving information for their analysis.

dc.publisherBioMed Central Ltd.
dc.titleSemantic representation of monogenean haptoral Bar image annotation
dc.typeJournal Article
dcterms.source.volume14
dcterms.source.issn1471-2105
dcterms.source.titleBMC bioinformatics
curtin.note

This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/2.0/ Please refer to the licence to obtain terms for any further reuse or distribution of this work.

curtin.departmentSarawak Malaysia
curtin.accessStatusOpen access


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