Combining Link and Content-Based Information in a Bayesian Inference Model for Entity Search
JIWES '12 Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search(2012)
摘要
An architectural model of a Bayesian inference network to support entity search in semantic knowledge bases is presented. The model supports the explicit combination of primitive data type and object-level semantics under a single computational framework. A flexible query model is supported capable to reason with the availability of simple semantics in queries.
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关键词
Semantic Web,Semantic Trajectories,Structure Learning,Probabilistic Databases,Schema Matching
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