Affiliation:
1. Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia
2. Wright State University, Kno.e.sis Center, Dayton, OH, United States of America
Abstract
Life science ontologies play an important role in Semantic Web. Given the diversity in fish species and the associated wealth of information, it is imperative to develop an ontology capable of linking and integrating this information in an automated fashion. As such, we introduce the Fish Ontology (FO), an automated classification architecture of existing fish taxa which provides taxonomic information on unknown fish based on metadata restrictions. It is designed to support knowledge discovery, provide semantic annotation of fish and fisheries resources, data integration, and information retrieval. Automated classification for unknown specimens is a unique feature that currently does not appear to exist in other known ontologies. Examples of automated classification for major groups of fish are demonstrated, showing the inferred information by introducing several restrictions at the species or specimen level. The current version of FO has 1,830 classes, includes widely used fisheries terminology, and models major aspects of fish taxonomy, grouping, and character. With more than 30,000 known fish species globally, the FO will be an indispensable tool for fish scientists and other interested users.
Funder
Ministry of Higher Education Malaysia’s Fundamental Research Grant Scheme
University Malaya’s Grant
University of Malaya’s Postgraduate Research Grants
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience
Reference71 articles.
1. Biodiversity image retrieval framework for monogeneans;Abu;Systematics and Biodiversity,2013
2. Semantic representation of monogenean haptoral Bar image annotation;Abu;BMC Bioinformatics,2013
3. The difference between a triplestore and a relational database;Alexander,2013
4. The Paleobiology Database;Alroy,2012
5. The two cultures: mashing up Web 2.0 and the semantic web;Ankolekar,2007
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献