Recent News

(7/2012) I have been invited to give a keynote talk at the Workshop on Entity-oriented and Semantic Search (JIWES) at SIGIR 2012. Here is the title and abstract.

(8/2011) I have been invited to serve as a workshop co-chair for VLDB 2014 to be held at the beautiful Hangzhou, China.

(7/2011) The Distributed and Parallel Databases Journal (Springer’s international journal on database management and information retrieval) is planning a special issue on ranking in databases. I am the editor of this special issue. If you are working on ranking in databases, please consider submitting your work to this special issue. The deadline for the paper submission is October 7, 2011. The call for papers can be found on the journal web site: http://www.springer.com/journal/10619

(4/2011) The fifth international workshop on ranking in databases (DBRank) 2011 will be held in conjunction with VLDB 2011 in Seattle, WA, USA. Davide Martinenghi and I are the program co-chairs. If you are working on ranking, please consider submitting a paper to DBRank 2011. The deadline is June 7, 2011.

Research Interests

Kaushik's interests spans many aspects of data management, information retrieval and data mining. He is specifically interested in the following topics:

Bridging structured and unstructured data: how can structured and unstructured information (text) be used in conjunction (rather than separately) for better search and analysis?
Information Extraction and Text Analytics: how can unstructured data inside the enterprise as well as that on the web be used for business intelligence?
Web Mining: how can we mine the web to extract knowledge about structured entities like products and people?
Context-aware Search: how can a user's context be used to improve search?
Analysis over big data: how can computational paradigms like MapReduce be used to analyse massive amounts of data (like query logs, web documents)?
Information Retrieval: how can IR engines efficiently support new kinds of queries like top-k and proximity queries?
Machine learning: how can machine learning techniques be used to solve real-world problems in search, information extraction and data analysis?

Education

Ph.D., Computer Science, University of Illinois at Urbana Champaign, 2001.
M.S., Computer Science, University of Illinois at Urbana Champaign, 1999.
B. Tech. , Computer Science and Engineering, Indian Institute of Technology, 1996.

Recent Professional Activities

Workshop co-chair, VLDB 2014
PC Member, ICDE 2013
Member of Best Paper Award committee, ICDM 2011
Area PC Vice-Chair, "Query Processing and Optimization" track, ICDE 2012
Associate editor, TKDE
Program co-chair, DBRank 2011 (at VLDB 2011)
Member of Editorial Board, Distributed and Parallel Databases Journal
PC Member, WWW 2011
PC Member, ICDE 2011 (Demo track)
PC Member, ICDM 2011
PC Member, SIGMOD 2010
PC Member, ICDE 2010 (Both Research and Demo tracks)
PC Member, DBRank 2010
PC Member, ICDM 2009
PC Member, ICME (IEEE International Conference on Multimedia and Expo) 2009
PC Member, DBRank 2009
PC Member, ICME 2008
PC Member, ICDM 2007
PC Member, DBRank 2007
PC Member, ECML/PKDD 2007
PC Member, ICDM 2006
PC Member, ICDM 2005

Best Paper Awards

Our paper Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases awarded Best Paper of SIGMOD 2001
Our paper Approximate Query Processing Using Wavelets awarded "Best of VLDB 2000" (along with 4 other papers) and invited to "Best of VLDB 2000" issue of VLDB Journal

Selected Publications

2013

Meihui Zhang and Kaushik Chakrabarti, Semantic Matching and Annotation of Numeric and Time-Varying Attributes in Web Tables, ACM SIGMOD, June 2013
Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, and Yeye He, Mining Acronym Expansions and Their Meanings Using Query Click Log, WWW Conference 2013, May 2013
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, and Manoj Syamala, Data Services for E-tailers Leveraging Web Search Engine Assets, in ICDE Conference, April 2013

2012

Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, and Dong Xin, A Framework for Robust Discovery of Entity Synonyms, in SIGKDD, 2012
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, and Surajit Chaudhuri, InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables, in ACM SIGMOD Conference, 2012
Chi Wang, Kaushik Chakrabarti, Tao Cheng, and Surajit Chaudhuri, Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities, in World Wide Web Conference, 2012

2011

Senjuti Basu Roy and Kaushik Chakrabarti, Location-Aware Type Ahead Search on Spatial Databases: Semantics and Efficiency, in ACM SIGMOD Conference, June 2011
Bahman Bahmani, Kaushik Chakrabarti, and Dong Xin, Fast Personalized PageRank on MapReduce, in ACM SIGMOD Conference, June 2011
Kaushik Chakrabarti, Surajit Chaudhuri, and Venkatesh Ganti, Interval-Based Pruning for Top-k Processing over Compressed Lists, in ICDE Conference, IEEE, April 2011
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, and Dong Xin, Automatically Tagging Entities with Descriptive Phrases, in WWW (Poster paper), 2011

2010

Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, and Dong Xin, Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries, in International Conference on Management of Data (SIGMOD 2010) , Association for Computing Machinery, Inc., 6 June 2010

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 (WWW 2009), Association for Computing Machinery, Inc., 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 (WWW 2009), Association for Computing Machinery, Inc., April 2009

2008

Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, and Dong Xin, An efficient filter for approximate membership checking, in SIGMOD Conference, Association for Computing Machinery, Inc., 2008
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, and Venkatesh Ganti, Scalable Adhoc Entity Extraction from Text Collections , in VLDB Conference, 2008

2006

Kaushik Chakrabarti, Venkatesh Ganti, Jiawei Han, and Dong Xin, Ranking Objects by Exploiting Relationships: Computing Top-K over Aggregation, in SIGMOD Conference, 2006

2004

Kaushik Chakrabarti, Michael Ortega-Binderberger, Sharad Mehrotra, and Kriengkrai Porkaew, Evaluating Refined Queries in Top-k Retrieval Systems, in IEEE Trans. Knowl. Data Eng. (TKDE) , 2004
Kaushik Chakrabarti, Surajit Chaudhuri, and Seung-won Hwang, Automatic Categorization of Query Results , in ACM SIGMOD Conference, 2004

2003

Michael Ortega-Binderberger, Kaushik Chakrabarti, and Sharad Mehrotra, Efficient Evaluation of Relevance Feedback for Multidimensional All-pairs Retrieval, in ACM symposium on Applied computing , 2003

2002

Michael Ortega-Binderberger, Kaushik Chakrabarti, and Sharad Mehrotra, An Approach to Integrating Query Refinement in SQL, in EDBT Conference, 2002
Kaushik Chakrabarti, Eamonn Keogh, Sharad Mehrotra, and Michael Pazzani, Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases, in ACM Transactions on Database Systems (TODS), 2002

2001

Kaushik Chakrabarti, Michael Ortega, Kriengkrai Porkaew, and Sharad Mehrotra, Query Refinement in Similarity Retrieval Systems, in IEEE Data Engineering Bulletin, 2001
Eamonn Keogh, Kaushik Chakrabarti, Sharad Mehrotra, and Michael Pazzani, Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases, in ACM SIGMOD Conference, 2001
Kaushik Chakrabarti, Minos Garofalakis, Rajeev Rastogi, and Kyuseok Shim, Approximate Query Processing Using Wavelets, in VLDB Journal, 2001
Eamonn Keogh, Kaushik Chakrabarti, Michael Pazzani, and Sharad Mehrotra, Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases, in Knowledge and Information Systems Journal (KAIS), 2001
Kaushik Chakrabarti, Large Multidimensional Datasets inside a Database System (Ph.D. Thesis), 2001
Michael Ortega-Binderberger, Kaushik Chakrabarti, and Sharad Mehrotra, Database Support for Multimedia Applications, in Image Databases: Search and Retrieval of Digital Imagery , John Wiley & Sons, 2001

2000

Kaushik Chakrabarti and Sharad Mehrotra, Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces, in VLDB Conference, 2000
Michael Ortega-Binderberger, Sharad Mehrotra, Kaushik Chakrabarti, and Kriengkrai Porkaew, WebMARS: A Multimedia Search Engine, in IS&T/SPIE's Annual Symposium of Electronic Imaging, 2000
Kaushik Chakrabarti, Michael Ortega-Binderberger, Kriengkrai Porkaew, and Sharad Mehrotra, Similar Shape Retrieval in MARS, in IEEE International Conference on Multimedia, 2000
Kaushik Chakrabarti, Minos Garofalakis, Rajeev Rastogi, and Kyuseok Shim, Approximate Query Processing Using Wavelets, in VLDB Conference, 2000
Kaushik Chakrabarti, Kriengkrai Porkaew, and Sharad Mehrotra, Efficient Query Refinement in Multimedia Databases, in ICDE Conference, 2000

1999

Kriengkrai Porkaew, Sharad Mehrotra, Michael Ortega, and Kaushik Chakrabarti, Similarity Search Using Multiple Examples in MARS, in International Conference on Visual Information and Information Systems , 1999
Kaushik Chakrabarti and Sharad Mehrotra, The Hybrid Tree: An Index Structure for High Dimensional Feature Spaces, in ICDE Conference, 1999
Kriengkrai Porkaew, Kaushik Chakrabarti, and Sharad Mehrotra, Query Refinement for Multimedia Similarity Retrieval in MARS, in ACM Multimedia Conference, 1999
Kaushik Chakrabarti and Sharad Mehrotra, Efficient Concurrency Control in Multidimensional Access Methods, in ACM SIGMOD Conference, 1999

1998

Kaushik Chakrabarti, Sharad Mehrotra, Michael Ortega, Kriengkrai Porkaew, and Robert Winkler, Processing Uncertainty Queries in Database Management Systems, in 1998 Annual FedLab Symposium, Advanced Displays & Interactive Displays Consortium, 1998
Kaushik Chakrabarti and Sharad Mehrotra, Dynamic Granular Locking Approach to Phantom Protection in R-trees, in ICDE Conference, 1998
Michael Ortega, Yong Rui, Kaushik Chakrabarti, Kriengkrai Porkaew, Sharad Mehrotra, and Thomas S. Huang, Supporting Ranked Boolean Similarity Queries in MARS, in IEEE Trans. Knowl. Data Eng. (TKDE), 1998

1997

Michael Ortega, Yong Rui, Kaushik Chakrabarti, Sharad Mehrotra, and Thomas S. Huang, Supporting Similarity Queries in MARS, in ACM Multimedia Conference, 1997