发明申请
- 专利标题： EFFICIENT PROBABILISTIC REASONING OVER SEMANTIC DATA
- 专利标题（中）： 有效的概率理论在语义数据上
-
申请号： US12968289申请日： 2010-12-15
-
公开(公告)号： US20120158636A1公开(公告)日： 2012-06-21
- 发明人: Stuart M. Bowers , Thomas E. Jackson , Silvia C. Vega , Chris D. Karkanias , Allen L. Brown, JR. , David G. Campbell , Brian S. Aust
- 申请人： Stuart M. Bowers , Thomas E. Jackson , Silvia C. Vega , Chris D. Karkanias , Allen L. Brown, JR. , David G. Campbell , Brian S. Aust
- 申请人地址： US WA Redmond
- 专利权人： MICROSOFT CORPORATION
- 当前专利权人： MICROSOFT CORPORATION
- 当前专利权人地址： US WA Redmond
- 主分类号： G06N5/02
- IPC分类号： G06N5/02
摘要：
A semantic reasoning engine is described for performing probabilistic reasoning over a semantic graph in a time-efficient and viable manner. The semantic reasoning engine includes a data store that provides the semantic graph, where the semantic graph is formed by a plurality of concepts connected together via probabilistic assertions. The semantic reasoning engine operates by providing an answer to a query by recursively collapsing the semantic graph based on at least one collapsing rule.
公开/授权文献
- US08751433B2 Efficient probabilistic reasoning over semantic data 公开/授权日：2014-06-10