5 research outputs found

    METHODS, APPROACHES, PRINCIPLES, GUIDELINES AND APPLICATIONS ON MULTILINGUAL ONTOLOGIES: A SURVEY

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    Ontologies are used in various domains to provide meaningful knowledge from data. The data can be in different natural languages. Ontologies with a lexical layer in different natural languages are needed essential to access the multilingual data by the users. Multilingual ontologies are needed to overcome this defect. Most of the multilingual ontologies are built up in English language and translated into the desired native languages. Many approaches are proposed to develop multilingual ontology applications. The aim of this article is to review the various approaches, methods for developing multilingual ontologies. The principles and guidelines for developing multilingual lexical layer are discussed. The different techniques adopted in the use and developments of multilingual ontologies are enumerated. The multilingual applications are compared using several dimensions

    Feature analysis of ontology visualization methods and tools

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    Visualization is a technique of creating images, graphs or animations to share knowledge. Different kinds of visualization methods and tools are available to envision the data in an efficient way. The visualization tools and techniques enable the user to understand the knowledge in an easy manner. Nowadays most of the information is presented semantically which provides knowledge based retrieval of the information. Knowledge based visualization tools are required to visualize semantic concepts. This article analyses the existing semantic based visualization tools and plug-ins. The features and characteristics of these tools and plug-ins are analyzed and tabulated

    Feature analysis of ontology visualization methods and tools

    No full text
    Visualization is a technique of creating images, graphs or animations to share knowledge. Different kinds of visualization methods and tools are available to envision the data in an efficient way. The visualization tools and techniques enable the user to understand the knowledge in an easy manner. Nowadays most of the information is presented semantically which provides knowledge based retrieval of the information. Knowledge based visualization tools are required to visualize semantic concepts. This article analyses the existing semantic based visualization tools and plug-ins. The features and characteristics of these tools and plug-ins are analyzed and tabulated
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