发明申请
- 专利标题: Entity Augmentation Service from Latent Relational Data
- 专利标题(中): 潜在关系数据实体增强服务
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申请号: US13413179申请日: 2012-03-06
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公开(公告)号: US20130238621A1公开(公告)日: 2013-09-12
- 发明人: Kris K. Ganjam , Kaushik Chakrabarti , Mohamed A. Yakout , Surajit Chaudhuri
- 申请人: Kris K. Ganjam , Kaushik Chakrabarti , Mohamed A. Yakout , Surajit Chaudhuri
- 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: G06F17/30
- IPC分类号: G06F17/30
摘要:
The subject disclosure is directed towards providing data for augmenting an entity-attribute-related task. Pre-processing is preformed on entity-attribute tables extracted from the web, e.g., to provide indexes that are accessible to find data that completes augmentation tasks. The indexes are based on both direct mappings and indirect mappings between tables. Example augmentation tasks include queries for augmented data based on an attribute name or examples, or finding synonyms for augmentation. An online query is efficiently processed by accessing the indexes to return augmented data related to the task.
公开/授权文献
- US09171081B2 Entity augmentation service from latent relational data 公开/授权日:2015-10-27
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