Invention Grant
- Patent Title: Entity augmentation service from latent relational data
- Patent Title (中): 潜在关系数据的实体增强服务
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Application No.: US13413179Application Date: 2012-03-06
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Publication No.: US09171081B2Publication Date: 2015-10-27
- Inventor: Kris K. Ganjam , Kaushik Chakrabarti , Mohamed A. Yakout , Surajit Chaudhuri
- Applicant: Kris K. Ganjam , Kaushik Chakrabarti , Mohamed A. Yakout , Surajit Chaudhuri
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agent Sandy Swain; Judy Yee; Micky Minhas
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F7/00

Abstract:
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.
Public/Granted literature
- US20130238621A1 Entity Augmentation Service from Latent Relational Data Public/Granted day:2013-09-12
Information query