Yochan Information Integration Group

			*Yochan Information Integration Group*
.
QUIC/QPIAD BibFinder Havasu Data Integration System BioHavasu Emerac Data Integration System I3 Tutorial AIW track at AAAI 2010 IJCAI I3 Workshop Special Issue of IEEE Intelligent Systems on Information Integration Yochan Research Group				Yochan Information Integration Group We are broadly interested in developing flexible frameworks for data and information integration. Our projects include QBase, QUIC and QPIAD, BibFinder, Havasu, and Emerac. We are part of ET-I3 a university-wide initiative on Intelligent Information Integration. Our work is supported in part by Office of Naval Research (grant N000140910032) and three Google research awards (2007, 2010 and 2013). Members Lydia Manikonda is working on crowd-sourced computation and instagram analysis. Vamsi Meduri is working on extensions of BayesWipe. Professor Subbarao Kambhampati is keeping himself busy being a copy-editor for all their papers... Alumni Yuheng Hu worked on the SocSent framework for social media analytics. He is currently at IBM Almaden, and will be joining University of Illinois, Chicago. Sushovan De worked on BayesWipe system for probabilistic data rectification; he is off in Google. Anirudh Acharya extended ET-LDA to support online processing of Tweet-Transcript alignment. He is off to Yahoo! Tejas Mallapura worked on context recovery for orphan Tweets. She is off at Mathworks. Manikandan Vijayakumr worked on context recovery for Tweets. He is off at American Express. Srijith Ravikumar worked on trust sensitive ranking of tweets. He is off at Amazon. Preeth Inder Singh worked on storing Raju Balakrishnan worked on Ad Ranking, Source reputation assessment, uncertain databases, etc. He is currently minting money at Groupon. Manish Kumar extended Source Rank to be sensitive to source topics. Currently at Amazon. Rohit Raghunathan looked at the relative advantages of AFDs vs. Graphical Models in handling incomplete data and imprecise queries. Currently at Amazon. Sanil Salvi did follow-up and extension work on SMARTInt Ravi Gummadi (co-advised with Pat Langley) worked on joining autonomous data-sources in the absence of PK/FK dependencies (Currently at Ask.com) . Anupam Khulbe (co-advised with Pat Langley) worked on joining autonomous data-sources in the absence of PK/FK dependencies (Currently at Amazon) Garrett Wolf is worked on QUIC and QPIAD system dealing with imprecision and incompleteness in autonomous databases. Aravind Krishna worked on an efficient single-pass appraoch for generating approximate functional dependencies. (Currently at Yahoo!) Bhaumik Chokshi worked on novelty and redundancy analysis in collection selection, and developed the ROSCO system. (Currently at Microsoft Search) Jianchun Fan worked on flexible approaches for web-service composition, multi-objective query optimization and reasoning with incomplete data. (Currently at Amazon) Hemal Khatri worked on reasoning with incomplete data in web-data sources. He is currently at MSN Search. Wes Dyer did an honors thesis on handling relevance and overlap together in collection selection. (Currently at Microsoft Live Search). Thomas Hernandez worked on integrating bio-informatics data sources, and on statistics-oriented approaches for meta-search on text databases. He is currently gainfully employed at Amazon Zaiqing Nie developed BibFinder, a meta-search engine for bibliographic entries, that uses automatically gathered coverage and overlap statistics. Earlier, he had done work on multi-objective query optimization for data integration scenarios. Currently at Microsoft Research (Asia). He is one of the principals on Libra. Ullas Nambiar worked on supporting imprecise queries in information aggregation scenarios. He is currently a researcher at IBM India Research Labs. Eric Lambrecht developed the Emerac data integration system, that uses a novel framework for supporting recursive information gathering queries. Sreelakshmi Vaddi worked on adaptive execution techniques for data integration scenarios. Courses CSE 494: Information Integration, Retrieval and Mining on the Internet Publications Click Efficiency: A Unified Optimal Ranking for Online Ads and Documents. Raju Balakrishnan and Subbarao Kambhampati Journal of Intelligent Information Systems. 2015. (Accetped) TweetSense: Context Recovery for Orphan Tweets by Exploiting Social Signals in Twitter Manikandan Vijayakumar, Tejas Mallapura Umamaheshwar, Kartik Talamadupula and Subbarao Kambhampati WebScience 2015. (Here is a longer version of the paper) Inferring Sentiment fromWeb Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach Yilin Wang, Yuheng Hu, Subbarao Kambhampati and Baoxin Li ICWSM 2015 What We Instagram: A First Analysis of Instagram Photo Content and User Types Yuheng Hu, Lydia Manikonda & Subbarao Kambhampati ICWSM 2014. (Poster displayed at the conference) A companion study (under review) A writeup on abcnews. (Link to an Instagram Photo Contest that uses the categorization developed in this paper) (Coverage on a marketing research blog) > BayesWipe: A Multimodal System for Data Cleaning and Consistent Query Answering on Structured Data Sushovan De, Yuheng Hu, Yi Chen, and Subbarao Kambhampati IEEE BigData 2014. Discourse Analysis of User Forums in an Online Weight Loss Application Lydia Manikonda, Heather Pon-Barry, Subbarao Kambhampati, Eric Hekler & David W. McDonald. ACL 2014 Joint Workshop on Social Dynamics and Personal Attributes. RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement Srijith Ravikumar, Kartik Talamadupula, Raju Balakrishnan \& Subbarao Kambhampati. CIKM 2013. (longer version available as an arxiv technical report 1308.2354) RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement Srijith Ravikumar, Kartik Talamadupula, Raju Balakrishnan \& Subbarao Kambhampati. AAAI 2013 (Late-breaking paper) (Talk Video (Youtube)) Dude, srsly?: The Surprisingly Formal Nature of Twitter’s Language Yuheng Hu, Kartik Talamadupula and Subbarao Kambhampati. ICWSM, 2013. (Coverage on Huffington Post(via excerpt from DataClysm) (Coverage on the Follow the Crowd blog) Assessing Relevance and Trust of the Deep Web Sources and Results Based on Inter-Source Agreement Raju Balakrishnan, Subbarao Kambhampati, and Manishkumar Jha. ACM Transactions on Web. Volume 7, Issue 2, May 2013. Listening to the Crowd: Automated Analysis of Live Events via Aggregated Twitter Sentiment. Yuheng Hu, Fei Wang & Subbarao Kambhampati. IJCAI 2013. (Talk Video) (an article in ASU News; an interview on AZ PBS Horizon show) Bayes Networks for Supporting Query Processing Over Incomplete Autonomous Databases Rohit Raghunathan, Sushovan De, Subbarao Kambhampati. Journal of Intelligent Information Systems. 2013. (Accepted) ET-LDA: Joint Topic Modeling For Aligning, Analyzing and Sensemaking of Public Events and Their Twitter Feeds Yuheng Hu, Ajita John, Fei Wang, Doreen Duncan Seligmann & Subbarao Kambhampati Technical Report arXiv:1210.2164. 2012. (Under Journal Submission) ET-LDA: Joint Topic Modeling for Aligning Events and their Twitter Feedback Yuheng Hu, Ajita John, Fei Wang & Subbarao Kambhampati. AAAI 2012 Assessing Relevance and Trust of the Deep Web Sources and Results based on Inter-Source Agreement Raju Balakrishnan, Subbarao Kambhampati and Manish Kumar Jha. ACM Transactions on Web. Conditionally accepted. 2012. Ranking Tweets Considering Trust and Relevance. Srijith Ravikumar, Raju Balakrishnan and Subbarao Kambhampati. SIGMOD Workshop on Information Integration on the Web (IIWeb), 2012. Bayesian Data Cleaning for Web Data Yuheng Hu, Sushovan De, Yi Chen & Subbarao Kambhampati. arXiv:1204.3677. Agreement Based Source Selection for the Multi-Topic Deep Web Integration Manish Kumar Jha, Raju Balakrishnan and Subbarao Kambhampati. 17th Intl. Conf. on Management of Data. (COMAD 2011). (Slides and Talk audio) SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement Raju Balakrishnan, Subbarao Kambahmapti Proceedings of WWW 2011, Hyderabad. SmartInt: Using Mined Attribute Dependencies to Integrate Fragmented Web Databases Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, Sanil Salvi, Subbarao Kambhampati. Journal of Intelligent Information Systems. 2011 (Accepted) SmartInt: Using Mined Attribute Dependencies to Integrate Fragmented Web Databases Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, Sanil Salvi, Subbarao Kambhampati. Proceedings of WWW 2011, Hyderabad. (Poster from regular track; 16% acceptance rate) Longer version available as: arxiv:1101.5334. Factal: Integrating Deep Web Based on Trust and Relevance. Raju Balakrishnan, Subbarao Kambahmapti Proceedings of WWW 2011, Hyderabad. (Demo paper). SourceRank: Relevance and Trust Assessment for deep web sources based on inter-source agreement. Raju Balakrishnan and Subbarao Kambhampati WWW 2010. ( Here is the poster). (Here is the technical report) Recipient of the "Best Poster" award at WWW-2010. Query Processing Over Incomplete Autonomous Databases: Query Rewriting Using Learned Data Dependencies GarrettWolf, Aravind Kalavagattu, Hemal Khatri, Raju Balakrishnan, Bhaumik Chokshi, Jianchun Fan, Yi Chen and Subbarao Kambhampati. VLDB Journal. 2009. (Special issue on uncertain and probabilistic databases.) SMARTINT: A System for Answering Queries over Web Databases Using Attribute Dependencies. Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, Sanil Salvi, and Subbarao Kambhampati. ICDE 2010 (Demo). Optimal Ad Ranking for Profit Maximization. Raju Balakrishnan and Subbarao Kambhampati. WebDB 2008. Query processing over Incomplete Autonomous Databases. Garrett Wolf, Hemal Khatri, Bhaumik Chokshi, Jianchun Fan, Yi Chen & Subbarao Kambhampati. VLDB 2007 (To appear) QUIC: Handling Query Imprecision & Data Incompleteness in Autonomous Databases. Subbarao Kambhampati, Garrett Wolf, Yi Chen, Hemal Khatri, Bhaumik Chokshi, Jianchun Fan, Ullas Nambiar. CIDR 2007. (Talk slides) (QUIC Demo!). QPIAD: Query processing over Incomplete Autonomous Databases Hemal Khatri, Jianchun Fan, Yi Chen & Subbarao Kambhampati. ICDE 2007. Elicitation, Estimation & Explanation Challenges in Handling Imprecision & Incompleteness in Autonomous Databases Subbarao Kambhampati. Position paper at the NSF/EPA/ONR/NARA/AHRQ/NCO Workshop on Data Integration Relevance and Overlap Aware Text Collection Selection Bhaumik Chokshi, John (Wes) Dyer, Thomas Hernandez, and Subbarao Kambhampati. ASU CSE TR 06-019. September 2006. Multi-objective Query Processing for Data Aggregation Jianchun Fan and Subbarao Kambhampati. ASU CSE TR . June 2006. Supporting Queries with Imprecise Constraints Ullas Nambiar and Subbarao Kambhampati. AAAI 2006 NECTAR program. (talk slides). Multi-objective query processing for data aggregation Jianchun Fan and Subbarao Kambhampati. Under review. Answering Imprecise Queries over Autonomous Web Databases Ullas Nambiar and Subbarao Kambhampati. Proc. ICDE 2006. Answering imprecise queries over web databases (demo). Ullas Nambiar & Subbarao Kambhampati VLDB 2005. Effectively mining and using coverage and overlap statistics for data integration. Zaiqing Nie, Subbarao Kambhampati and Ullas Nambiar. IEEE Transactions on Knowledge and Data Engineering. Vol. 17, No. 5, May 2005. Improving text collection selection techniques with coverage and overlap statistics Thomas Hernandez and Subbarao Kambhampati WWW 2005. (This is the longer version of the Poster paper) Adaptive Information Integration A seminar given at USC/ISI. A Snapshot of Public Web Services Jianchun Fan and Subbarao Kambhampati. ASU CSE TR 04-004. August 2004. Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries Ullas Nambiar and Subbarao Kambhampati. WebDB 2004. (To appear) A frequency-based approach for mining coverage statistics in Data Integration. Zaiqing Nie and Subbarao Kambhampati. ICDE 2004 (To appear). Integration of Bioinfomratic Sources: Current Approaches and Systems Thomas Hernandez and Subbarao Kambhampati, To appear in SIGMOD Record. September 2004. Bibfinder/Statminer: Effectively mining and using Coverage and Overlap Statistics in Data Integration Zaiqing Nie, Subbarao Kambhampati and Thomas Hernandez. Proc. VLDB 2003. Here is the poster Information Integration On the Web (Guest Editor's Introduction). Subbarao Kambhampati, Craig Knoblock IEEE Intelligent Systems. October 2003. (Here is the special issue.) Frequency-based Coverage Statistics Mining for Data Integration. Zaiqing Nie, Subbarao Kambhampati. IJCAI Workshop on Information Integration on the Web. 2003. Optimizing Recursive Information Gathering Plans in EMERAC. S. Kambhampati, E. Lambrecht, U. Nambiar, Z. Nie and G. Senthil. Journal of Intelligent Information Systems. Vol 22, No. 2. March 2004. Answering Imprecise Database Queries Ullas Nambiar and Subbarao Kambhampati. ACM WIDM 2003 (Workshop on Web Information and Data Management). S. Kambhampati, U. Nambiar, Z. Nie and S. Vaddi Havasu: A Multi-Objective, Adaptive Query Processing Framework for Web Data Integration ASU CSE TR-02-005. Z.Nie, U. Nambiar, S. Lakshmi and S. Kambhampati. ASU CSE TR 02-009. Mining Coverage Statistics for Websource Selection in a Mediator (A short version of this paper appears in Proceedings of CIKM 2002). Z. Nie,S. Kambhampati,U. Nambiar and S. Vaddi Mining Source Coverage Statistics for Data Integration. in Proceedings of the 3rd Intl. Workshop on Web Information and Data Management (WIDM'01), Atlanta, Georgia, November 9, 2001. Z. Nie and S. Kambhampati Joint Optimization of Cost and Coverage of Information Gathering Plans. In Proceedings of the 10th ACM International Conference on Information and Knowledge Management (CIKM), Atlanta, Georgia, November 2001. Z. Nie and S. Kambhampati Joint Optimization of Cost and Coverage of Information Gathering Plans.. ASU CSE TR 01-002. Planning for Information Gathering: A Tutorial Survey E. Lambrecht and S. Kambhampati. ASU CSE TR 97-017, May 1997.