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We describe a large-scale experiment in which non-artificial intelligence subject matter experts (SMEs)—with neither artificial intelligence background nor extensive training in the task—author knowledge bases (KBs) following a challenge problem specification with a strong question-answering component. As a reference for comparison, professional knowledge(More)
– Rich lexica such as WordNet are valuable resources for information extraction from unstructured text. When extraction techniques have formal ontologies as their targets, a mapping from the lexicon to the ontology has been shown to be beneficial in sense disambiguation and usability of the extracted knowledge. Such mappings are generally established(More)
I propose a visual representation for online course structure in order to drive intelligent feedback. The project considers the need to utilize advanced technical features over traditional non-digital educational methods and the advantages of a visualization in the development of online learning. The effectiveness of this approach is demonstrated by(More)
Semantic technology powered access control schemes have been recently proposed to enhance the flexibility of role-based access control (RBAC) and its variants. These access control mechanisms depend heavily on rich, contextual data sourced from an identity attribute store. Unfortunately, most identity stores in use today use the Lightweight Directory Access(More)
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