Creating New Medical Ontologies for Image Annotation: A Case by Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan,

By Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai

Creating New scientific Ontologies for picture Annotation specializes in the matter of the scientific photos automated annotation method, that is solved in an unique demeanour by means of the authors. the entire steps of this method are defined intimately with algorithms, experiments and effects. the unique algorithms proposed by means of authors are in comparison with different effective comparable algorithms.

In addition, the authors deal with the matter of constructing ontologies in an automated method, ranging from scientific topic Headings (MESH). they've got offered a few effective and proper annotation types and likewise the fundamentals of the annotation version utilized by the proposed method: move Media Relevance versions. according to a textual content question the method will retrieve the photographs that comprise items defined via the keywords.

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B) Reusing existing ontologies—it is a good approach to consider what someone else has done and to check if something can be refined and if existing sources for our particular domain and task can be extended. Reusing existing ontologies can be a requirement if the system needs to interact with other applications that have already committed to particular ontologies or controlled vocabularies. Existing ontologies like Open Biological and Biomedical Ontologies can have formats that are not always easy to interpret.

New kinds of terminology, designed for computation, are required. The GALEN project proposed to replace the monolithic static lookup terminologies with a common reference model (ontology) that can be dynamically extended using an automatic classification engine, in a terminology server. 52 4 Ontologies The main components of the GALEN projects are [22]: • The GALEN Representation and Integration Language (GRAIL) Kernel which is a fully compositional and generative formal system for modeling concepts.

B) Reusing existing ontologies—it is a good approach to consider what someone else has done and to check if something can be refined and if existing sources for our particular domain and task can be extended. Reusing existing ontologies can be a requirement if the system needs to interact with other applications that have already committed to particular ontologies or controlled vocabularies. Existing ontologies like Open Biological and Biomedical Ontologies can have formats that are not always easy to interpret.

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