This project pursues research on data exploration that identifies techniques for flexible ways to query, browse and aggregate data. One of our goals is to support approximate matches and ranked search in the database context. We also like to enable data browsing and querying services for XML that can interoperate between text, structured, and semi-structured (e.g., mail messages) data. We also investigate efficient approximate query processing techniques for answering ad-hoc aggregate queries (e.g. decision support or OLAP queries).
Goal
This project pursues research on data exploration that identifies techniques for flexible ways to query, browse and aggregate data. One of our goals is to support approximate matches and ranked search in the database context. We also like to enable data browsing and querying services for XML that can interoperate between text, structured, and semi-structured (e.g., mail messages) data. We also investigate efficient approximate query processing techniques for answering ad-hoc aggregate queries (e.g. decision support or OLAP queries).
If you have questions about this project, please contact the Data Exploration research team (dmx@microsoft.com).
- Arnd Christian König, Michael Gamon, and Qiang Wu, Click-Through Prediction for News Queries , in SIGIR'09: the 32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, Inc., July 2009
- Surajit Chaudhuri, Venkatesh Ganti, and Dong Xin, Exploiting Web Search To Generate Synonyms For Entities, in 18th International World Wide Web Conference, Association for Computing Machinery, Inc., April 2009
- Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, and Dong Xin, Exploiting Web Search Engines to Search Structured Information , in 18th International World Wide Web Conference, IEEE, April 2009
- Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, and Dong Xin, Query Portals: Dynamically Generating Portals for Web, in 18th International World Wide Web Conference, IEEE, April 2009
- Arnd Christian König, Kenneth Church, and Martin Markov, A Data Structure for Sponsored Search, in 24th International Conference on Data Engineering (ICDE), IEEE Computer Society, 29 March 2009
- Venkatesh Ganti, Arnd Christian König, and Rares Vernica, Entity Categorization over Large Document Collections , in 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, Inc., 24 August 2008
- Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, and Venkatesh Ganti, Scalable Adhoc Entity Extraction from Text Collections , in VLDB Conference, 2008
- Surajit Chaudhuri, Kenneth Church, Arnd Christian König, and Liying Sui, Heavy-Tailed Distributions and Multi-Keyword Queries , in 30th ACM SIGIR International Conference on Research & Developement on Information Retreival, Association for Computing Machinery, Inc., July 2007
- Arnd Christian König and Eric Brill, Reducing the Human Overhead in Text Categorization, in Proceedings of KDD 2006, Association for Computing Machinery, Inc., January 2006
- Kaushik Chakrabarti, Surajit Chaudhuri, and Seung-won Hwang, Automatic Categorization of Query Results , in ACM SIGMOD Conference, 2004
