BUILDING KNOWLEDGE GRAPHS FROM UNSTRUCTURED TEXTS: APPLICATIONS AND IMPACT ANALYSES IN CYBERSECURITY EDUCATION

Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education

Knowledge graphs gained popularity in recent years and have been useful for concept visualization and contextual information retrieval in various applications.However, constructing a knowledge graph by scraping long and complex unstructured texts for a new domain in the absence of a well-defined ontology or an existing labeled entity-relation datas

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Monitoring CSF proteome alterations in amyotrophic lateral sclerosis: obstacles and perspectives in translating a novel marker panel to the clinic.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal disorder of the motor neuron system with poor prognosis and marginal therapeutic options.Current clinical diagnostic criteria are based on electrophysiological examination and exclusion of other ALS-mimicking conditions.Neuroprotective treatments are, however, most promising in early diseas

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