Semantic Web technology and Phyloinformatics
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Phyloinformatics is an interdisciplinary study, combining Phylogenetics and Informatics. It involves gathering, storing, computing, and reusing the product of phylogenetic analyses. One of the major challenges in the domain of phylogenetics is the accessibility of published phylogenetic trees and the data that are used to estimate these trees. With the help of Semantic Web technology, we can make phylogenetic resources more understandable to the web agents and facilitate the reusability of accessible phylogentic trees and associated metadata. This thesis presents an ontology-driven, semantic problem-solving environment for phylogenetic analysis, including four research efforts to achieve this goal. PhylOnt, as an ontology for phylogenetic analysis. PhylAnt-D and PhylAnt-X, to annotate phylogenetic documents and NeXML files. Finally, MUDDIS as a MUlti-Dimentional semantic integrative approach for knowledge DIScovery to reconstruct the gene tree based on different gene similarities. The outcome of this research is to advanced phyloinformatics to reuse data sources in phylogenetic analysis with the help of Semantic Web technologies.