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Ontology visualization

Xem 1-12 trên 12 kết quả Ontology visualization
  • Semantic extraction from images is a topical problem and is applied in many different semantic retrieval systems. In this paper, a method of image semantic retrieval is proposed based on a set of images similar to the input image. Since then, the semantics of the image are queried on the ontology by the visual word vector.

    pdf20p vimurdoch 18-09-2023 5 3   Download

  • The Human Phenotype Ontology (HPO) is one of the most popular bioinformatics resources. Recently, HPO-based phenotype semantic similarity has been effectively applied to model patient phenotype data. However, the existing tools are revised based on the Gene Ontology (GO)-based term similarity. The design of the models are not optimized for the unique features of HPO. In addition, existing tools only allow HPO terms as input and only provide pure text-based outputs.

    pdf9p vitzuyu2711 29-09-2021 19 1   Download

  • More than one million terms from biomedical ontologies and controlled vocabularies are available through the Ontology Lookup Service (OLS). Although OLS provides ample possibility for querying and browsing terms, the visualization of parts of the ontology graphs is rather limited and inflexible.

    pdf9p viwyoming2711 16-12-2020 9 1   Download

  • The number of genomics and proteomics experiments is growing rapidly, producing an ever-increasing amount of data that are awaiting functional interpretation. A number of function prediction algorithms were developed and improved to enable fast and automatic function annotation.

    pdf13p vioklahoma2711 19-11-2020 13 0   Download

  • Ontologies are representations of a conceptualization of a domain. Traditionally, ontologies in biology were represented as directed acyclic graphs (DAG) which represent the backbone taxonomy and additional relations between classes.

    pdf9p viconnecticut2711 29-10-2020 11 1   Download

  • Biomedical knowledge grows in complexity, and becomes encoded in network-based repositories, which include focused, expert-drawn diagrams, networks of evidence-based associations and established ontologies.

    pdf15p viconnecticut2711 28-10-2020 10 1   Download

  • Functional annotation of genes is an essential step in omics data analysis. Multiple databases and methods are currently available to summarize the functions of sets of genes into higher level representations, such as ontologies and molecular pathways.

    pdf7p vicoachella2711 27-10-2020 9 1   Download

  • Gene Ontology enrichment analysis provides an effective way to extract meaningful information from complex biological datasets. By identifying terms that are significantly overrepresented in a gene set, researchers can uncover biological features shared by genes. In addition to extracting enriched terms, it is also important to visualize the results in a way that is conducive to biological interpretation.

    pdf8p vijisoo2711 27-10-2020 12 1   Download

  • This demo abstract describes the SmartWeb Ontology-based Annotation system (SOBA). A key feature of SOBA is that all information is extracted and stored with respect to the SmartWeb Integrated Ontology (SWIntO). In this way, other components of the systems, which use the same ontology, can access this information in a straightforward way. We will show how information extracted by SOBA is visualized within its original context, thus enhancing the browsing experience of the end user.

    pdf4p bunthai_1 06-05-2013 42 3   Download

  • The paper presents an OWL ontology for HPSG. The HPSG ontology is integrated with an existing OWL ontology, GOLD, as a community of practice extension. The basic ideas are illustrated by visualizations of type hierarchies for parts of speech.

    pdf4p hongvang_1 16-04-2013 51 2   Download

  • The main aim of the MIMA (Mining Information for Management and Acquisition) Search System is to achieve ‘structuring knowledge’ to accelerate knowledge exploitation in the domains of science and technology. This system integrates natural language processing including ontology development, information retrieval, visualization, and database technology. The ‘structuring knowledge’ that we define indicates 1) knowledge storage, 2) (hierarchical) classification of knowledge, 3) analysis of knowledge, 4) visualization of knowledge.

    pdf4p hongvang_1 16-04-2013 42 1   Download

  • One highly conspicuous crop of examples of mental phenomena related to the non-existent is of course yielded by our experience of works of art. It is therefore somewhat surprising that Meinong himself does not apply his theory of non-existent objects to the working out of a detailed theory of the ontology and psychology of aesthetic phenomena. This task was however carried out by one of his most prominent disciples, Stephan Witasek, in his masterly Grundzüge der allgemeinen A " sthetik of 1904.

    pdf30p dangsuynghi 27-03-2013 52 3   Download

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