5 research outputs found

    SIMOnt: A Security Information Management Ontology Framework

    No full text
    Oneof the major problems that plague all ontology designers is the absence of an unambiguous and exhaustive list of values that may be used to define concepts and their inter-relationships. This is mostly due to the fact that most of the documents describing the concepts and their relationships are either unstructured or semi-structured in nature. Moreover, due to the dynamic nature of the document repository on the Web, any agent or system designed for reasoning with these concepts should be able to adapt to changes and an ontology should be upgradeable with information extracted from text documents. In this paper, we have proposed the design of a Security Information Management Ontology (SIMOnto) which utilizes natural language processing and statistical analysis to mine an exhaustive list of concepts and their relationships in an automatic way. Concepts are extracted using TF-IDF and LSA techniques whereas, relations between them are mined using semantic and co-occurrence based analyses. The mined concepts and relations are presented to domain experts for validation before creation of ontology using Protégé

    Caveolins, caveolae, and lipid rafts in cellular transport, signaling, and disease

    No full text

    UEG Week 2019 Poster Presentations

    No full text
    corecore