Titlebook: Database and Expert Systems Applications; 23rd International C Stephen W. Liddle,Klaus-Dieter Schewe,Xiaofang Zho Conference proceedings 20

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Automated Extraction of Semantic Concepts from Semi-structured Data: Supporting Computer-Based Educaystems provide automated questions, answers, feedback, and the recommendation of further resources. The most difficult task in intelligent system formation is the modelling of domain knowledge, which is traditionally undertaken manually or semi-automatically by knowledge engineers and domain experts

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The Effective Relevance Link between a Document and a Querye reason why a document is relevant to a query that we called the Effective Relevance Link, and second the valuation of this link, known as the Relevance Status Value (RSV). We present a formal definition of this semantic link between . and .. In addition, we clarify how an existing IR model, like V

Intruder

Incremental Computation of Skyline Queries with Dynamic Preferenceslevant data corresponding to multiple criteria provided by users remains a difficult task, especially when the data are large. In 2008-2009, Wong et al. showed how to avoid costly skyline query computations by deriving the skyline points associated with any preference from the skyline points associa

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0302-9743 ilure, fault analysis, and uncertainty; predication, extraction, and annotation; ranking and personalisation; database partitioning and performance measurement; recommendation and prediction systems; business processes; social networking.978-3-642-32599-1978-3-642-32600-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Conference proceedings 2012 query answering; structuring, compression and optimization; failure, fault analysis, and uncertainty; predication, extraction, and annotation; ranking and personalisation; database partitioning and performance measurement; recommendation and prediction systems; business processes; social networking.

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