About Communications       Author's Guide       Reviewers       Editorial Members       Archive
Volume 8
Volume 7
Volume 6
Volume 5
Volume 4
Volume 3
Volume 2
Volume 1
AASCIT Communications | Volume 1, Issue 3 | Oct. 13, 2014 online | Page:69-74
Semantic Integration of Biological Entities in Phylogeny Visualization: Ontology Approach
Semantic integration of information has become necessary to fetch knowledge related in various domains. Bio-informatics is a domain where integration of information of biological entities and annotations from various knowledge bases has become necessary. Phylogeny is the genealogical study of living and non living organisms. Phylogeny represents the historical pattern of relationship among organisms that has genealogical unity of given hominidae species like, human, gorilla, chimpanzee, and orangutan. Current there exists various approaches for phylogeny visualizations which provides the relationships in forms of hierarchy. Understanding the relationship among organism represented using phylogeny tree needs the user to search for other related data of the organisms. The proposed approach overcomes the drawback of the existing phylogeny visualization approaches by integrating the data of organisms using an Ontology approach. The ontology is implemented using Protégé tool provides visualization of phylogeny relationships with integrated data and found to be efficient.
Velumani Bhuvaneswari, Department of Computer Applications, Bharathiar University, Coimbatore, Tamilnadu, India.
Manohar Sharmila, Department of Computer Applications, Bharathiar University, Coimbatore, Tamilnadu, India.
Phylogeny Visualization, Ontology, DL Query
Arun K Pujari “Data Mining Techniques”, University Press (India) Private Limited 2001. ISBN 978 81 7371 380 4.
B.Orgun, M.Dras, et.al. “Approaches for Semantic Interoperability between Domain Ontologies”, Published in Proceedings of International Conference in Research and Practices in Information Technology (CRPIT) in IEEE explore, 2006, Vol. 72. Australian Ontology Workshop (AOW) Hobart Australia, 2006.
Dan He “Ontology –based Feature Weighting for Biomedical Literature. Department of Computer Science, University of Vermont, Burlington VT05405, USA.
Daniel L.Rubin, Oliver Damerson et.al “Using Ontologies linked with geometric models to reason about penetrating injuries”, Published in Journal of Elseiver doi: 10 1016/, 2006.
Glenn Blanchette et.al “Inference of Phylogenetic tree:Hierarchical Clustering Versus Genetic Algorithm”, Published in Journal of LNCS 7691, pp.300-312, 2012.
Go-Ebi, Embl-Ebi, et.al., “The Gene Ontology (GO) Database And Informatics Resource”, Published in Journal of Nucleic Acid Research, 2003,Vol 32, pp 258-261, doi: 10.1093/nar/gkh036.
Iván Cantador, Martin Szomzor, et.al., “Enriching Ontological User Profiles With Tagging History For Multi-Domain Recommendations” Cited at http//www.pnas.org 2008.
.Kaustubh Supekar and Yugyung Lee “Ontology based Metadata Management in Medical domains” Published in Journal of Research and Practice in Information Technology Vol. 35, 2, 2003.
Mike Uschold and Robert Jasper “A Framework for understanding and Classifying Ontology Applications” Published in Proceeding of the IJCAI, Workshop on Ontologies and Problem Solving Methods, 1999.
Peter.D.Karp “An Ontology For Biological Function Based On Molecular Interactions”, Published in Journal of Bioinformatics Ontology, 2000, Vol 16, Issue 3, pp 269-285.
Purvesh Khatri and Sorin Dru ghici “Ontological Analysis of Gene Expression data: Current tools, limitations and open problems”, 2005.
Robert Stevens et.al “Ontology based Knowledge Representation for Bioinformatics”, Published in Journal of Briefings in Bioinformatics Vol.1, 4, pp 398-414, 2000.
Sahar Hassan, Franck Hetroy et.al “Ontology Guided Mesh Segmantation”, Published in “Focus K3D Conference on Semantic 3D Media and Content”,2010.
Steven Maere et.al (2005) “BiNGO: Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks” ,Published in Journal of System Biology, 2005, Vol 21, Issue 16,pp 3448-3449 doi:10.1093/bioinformatics/bti551.
Stuart Blair et.al “A review of the Gene Ontology: past developments, present roles, and future possibilities” 2010.
Yi Ping Phoebe Chen(Ed) “Bioinformatics Technologies”, Published in Springer International Edition, 2005.
B.L.Shivakumar, V.Bhuvaneswari,”Ontology Design for Gene Integration and Feature Representation”, Published in IOSR Journal of Engineering, Vol. 2, Issue 5, pp: 11, May. 2012.
V Bhuvaneswari , R Priyadarshini , “An Ontology based framework to integrate gene information for homosapiens taxon” Publised in Lingaya’s journal of professional Studies(LJPS), Volume-4(2), Jan-June issue ,2011.
V.Bhuvaneswari, R.Priyadarshini, “An Ontology Based Approach for Classifying Gene Information and Comparing with Traditional Methods”, Published in Proceedings of International Conference Emerging Trends in Computing, Coimbatore , ICETC, March 2011.
Arcticle History
Submitted: Aug. 20, 2014
Accepted: Aug. 29, 2014
Published: Oct. 13, 2014
The American Association for Science and Technology (AASCIT) is a not-for-profit association
of scientists from all over the world dedicated to advancing the knowledge of science and technology and its related disciplines, fostering the interchange of ideas and information among investigators.
©Copyright 2013 -- 2019 American Association for Science and Technology. All Rights Reserved.