@article{chakrabarti2016data,
author = {Chakrabarti, Kaushik and Chaudhuri, Surajit and Chen, Zhimin and Ganjam, Kris},
title = {Data Services Leveraging Bing's Data Assets},
year = {2016},
month = {September},
abstract = {Web search engines like Bing and Google have amassed a tremendous amount of data assets. These include query-click logs, web crawl corpus, an entity knowledge graph and geographic/maps data. In the Data Management, Exploration and Mining (DMX) group at Microsoft Research, we investigate ways to mine the above data assets to derive new data that can provide new value to a wide variety of applications. We expose the new data as cloud data services that can be consumed by Microsoft products and services as well as third party applications. We describe two such data services we have built over the past few years: synonym service and web table service. These two data services have shipped in several Microsoft products and services including Bing, Office 365, Cortana, Bing synonyms API and Bing Knowledge API.},
publisher = {IEEE},
url = {http://approjects.co.za/?big=en-us/research/publication/data-services-leveraging-bings-data-assets/},
journal = {Bulletin of the IEEE Computer Society Technical Committee on Data Engineering},
}