期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2016
卷号：39
期号：3
页码：15
出版社：IEEE Computer Society
摘要：Web search engines like Bing and Google have amassed a tremendous amount of data assets. Theseinclude query-click logs, web crawl corpus, an entity knowledge graph and geographic/maps data. Inthe Data Management, Exploration and Mining (DMX) group at Microsoft Research, we investigateways to mine the above data assets to derive new data that can provide new value to a wide variety ofapplications. We expose the new data as cloud data services that can be consumed by Microsoft productsand services as well as third party applications. We describe two such data services we have built overthe past few years: synonym service and web table service. These two data services have shipped inseveral Microsoft products and services including Bing, Office 365, Cortana, Bing synonyms API andBing Knowledge API.
