Combining link and content-based information in a Bayesian inference model for entity search
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.
更多查看译文
关键词
architectural model,flexible query model,object-level semantics,simple semantics,Bayesian inference network,entity search,explicit combination,primitive data type,semantic knowledge base,single computational framework,Bayesian inference model,Combining link,content-based information
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要