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Context-based query processing methods are used to capture user intents behind query inputs. General context models are not flexible or explicable enough for inference, because they are either static or implicit. This paper improves current context model and proposes a novel query processing approach based on associated semantic context inference. In our approach, the formal defined context is explicit,...
Information security contains many concepts and knowledge entities. As the development of information technology, the complexity of increasing information security knowledge need an overview representation and organization for security analysis and risk evaluation. Ontology as a formal and shareable semantic model, which is often used to define domain knowledge schema, can also be applied for information...
Data interchange in Internet is mainly for specific web applications. The data formats are simple but lack of rich semantic descriptions, which can't meet current requirements of deep web data analyzing with semantic technology. Aiming at connecting web data with semantics, we propose an automatic semantic extraction method to handle web data sets with semantics and generate semantic data for applications,...
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