Bio


Jennifer Widom is the Frederick Emmons Terman Dean of the School of Engineering and the Fletcher Jones Professor in Computer Science and Electrical Engineering at Stanford University. She served as Computer Science Department Chair from 2009-2014 and School of Engineering Senior Associate Dean from 2014-2016. Jennifer received her Bachelor's degree from the Indiana University Jacobs School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at the IBM Almaden Research Center before joining the Stanford faculty in 1993. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering and the American Academy of Arts & Sciences; she received the ACM-W Athena Lecturer Award in 2015, the ACM SIGMOD Edgar F. Codd Innovations Award in 2007, and a Guggenheim Fellowship in 2000.

Academic Appointments


Honors & Awards


  • Member, National Academy of Engineering
  • Member, American Academy of Arts and Sciences
  • Fellow, Guggenheim Foundation
  • Fellow, ACM
  • Edgar F. Codd Innovations Award, ACM SIGMOD

Boards, Advisory Committees, Professional Organizations


  • Member, National Academy of Engineering (2013 - Present)
  • Member, American Academy of Arts and Sciences (2013 - Present)

Professional Education


  • PhD, Cornell University, Computer Science (1987)
  • BS, Indiana University, Music (1982)

2017-18 Courses


Stanford Advisees


All Publications


  • Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting. Proceedings. ACM-Sigmod International Conference on Management of Data Das Sarma, A., Parameswaran, A., Widom, J. 2016; 2016: 47-62

    Abstract

    We study crowdsourcing quality management, that is, given worker responses to a set of tasks, our goal is to jointly estimate the true answers for the tasks, as well as the quality of the workers. Prior work on this problem relies primarily on applying Expectation-Maximization (EM) on the underlying maximum likelihood problem to estimate true answers as well as worker quality. Unfortunately, EM only provides a locally optimal solution rather than a globally optimal one. Other solutions to the problem (that do not leverage EM) fail to provide global optimality guarantees as well. In this paper, we focus on filtering, where tasks require the evaluation of a yes/no predicate, and rating, where tasks elicit integer scores from a finite domain. We design algorithms for finding the global optimal estimates of correct task answers and worker quality for the underlying maximum likelihood problem, and characterize the complexity of these algorithms. Our algorithms conceptually consider all mappings from tasks to true answers (typically a very large number), leveraging two key ideas to reduce, by several orders of magnitude, the number of mappings under consideration, while preserving optimality. We also demonstrate that these algorithms often find more accurate estimates than EM-based algorithms. This paper makes an important contribution towards understanding the inherent complexity of globally optimal crowdsourcing quality management.

    View details for DOI 10.1145/2882903.2882953

    View details for PubMedID 28149000

    View details for PubMedCentralID PMC5278759

  • Surpassing Humans and Computers with JellyBean: Crowd-Vision-Hybrid Counting Algorithms. Proceedings of the ... AAAI Conference on Human Computation and Crowdsourcing Sarma, A. D., Jain, A., Nandi, A., Parameswaran, A., Widom, J. 2015; 2015: 178-187

    Abstract

    Counting objects is a fundamental image processisng primitive, and has many scientific, health, surveillance, security, and military applications. Existing supervised computer vision techniques typically require large quantities of labeled training data, and even with that, fail to return accurate results in all but the most stylized settings. Using vanilla crowd-sourcing, on the other hand, can lead to significant errors, especially on images with many objects. In this paper, we present our JellyBean suite of algorithms, that combines the best of crowds and computer vision to count objects in images, and uses judicious decomposition of images to greatly improve accuracy at low cost. Our algorithms have several desirable properties: (i) they are theoretically optimal or near-optimal, in that they ask as few questions as possible to humans (under certain intuitively reasonable assumptions that we justify in our paper experimentally); (ii) they operate under stand-alone or hybrid modes, in that they can either work independent of computer vision algorithms, or work in concert with them, depending on whether the computer vision techniques are available or useful for the given setting; (iii) they perform very well in practice, returning accurate counts on images that no individual worker or computer vision algorithm can count correctly, while not incurring a high cost.

    View details for PubMedID 26844304

    View details for PubMedCentralID PMC4734649

  • The Beckman Report on Database Research SIGMOD RECORD Abadi, D., Agrawal, R., Ailamaki, A., Balazinska, M., Bernstein, P. A., Carey, M. J., Chaudhuri, S., Dean, J., Doan, A., Franklin, M. J., Gehrke, J., Haas, L. M., Halevy, A. Y., Hellerstein, J. M., Ioannidis, Y. E., Jagadish, H. V., Kossmann, D., Madden, S., Mehrotra, S., Milo, T., Naughton, J. F., Ramakrishnan, R., Markl, V., Olston, C., Ooi, B. C., Re, C., Suciu, D., Stonebraker, M., Walter, T., Widom, J. 2014; 43 (3): 61-70
  • Optimizing Graph Algorithms on Pregel-like Systems. Salihoglu, S., Widom., J. 2014
  • GPS: A Graph Processing System. Salihoglu, S., Widom., J. 2013
  • Logical Provenance in Data-Oriented Workflows 29th IEEE International Conference on Data Engineering (ICDE) Ikeda, R., Sarma, A. D., Widom, J. IEEE. 2013: 877–888
  • Logical Provenance in Data-Oriented Workflows. Ikeda, R., Das Sarma, A., Widom, J. 2013
  • DataSift: An Expressive and Accurate Crowd-Powered Search Toolkit. Parameswaran, A., Teh, M., H., Garcia-Molina, H., Widom, J. 2013
  • Optimal Crowd-Powered Rating and Filtering Algorithms. Technical Report Parameswaran, A., Boyd, S., Garcia-Molina, H., Gupta, A., Polyzotis, N., Widom, J. 2013
  • CrowdFill: Collecting Structured Data from the Crowd. Technical Report Park, H., Widom, J. 2013
  • CrowdFill: A System for Collecting Structured Data from the Crowd. Technical Report and Demonstration Proposal Park, H., Widom, J. 2013
  • 3X: A Data Management System for Computational Experiments. Technical Report and Demonstration Proposal Shin, J., Paepcke, A., Widom, J. 2013
  • Query Optimization over Crowdsourced Data. Park, H., Widom., J. 2013
  • An Overview of the Deco System: Data Model and Query Language; Query Processing and Optimization SIGMOD RECORD Park, H., Pang, R., Parameswaran, A., Garcia-Molina, H., Polyzotis, N., Widom, J. 2012; 41 (4): 22-27
  • Provenance-Based Debugging and Drill-Down in Data-Oriented Workflows 28th IEEE International Conference on Data Engineering (ICDE) Ikeda, R., Cho, J., Fang, C., Salihoglu, S., Torikai, S., Widom, J. IEEE. 2012: 1249–1252
  • Deco: A System for Declarative Crowdsourcing. Park, H., Pang, R., Parameswaran, A., Garcia-Molina, H., Polyzotis, N., Widom, J. 2012
  • Query Processing over Crowdsourced Data. Technical Report Park, H., Parameswaran, A., Widom, J. 2012
  • Deco: Declarative Crowdsourcing. Parameswaran, A., Park, H., Garcia-Molina, H., Polyzotis, N., Widom, J. 2012
  • CrowdScreen: Algorithms for Filtering Data with Humans. Parameswaran, A., Garcia-Molina, H., Park, H., Polyzotis, N., Ramesh, A., Widom, J. 2012
  • Making Aggregation Work in Uncertain and Probabilistic Databases IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING Murthy, R., Ikeda, R., Widom, J. 2011; 23 (8): 1261-1273
  • RAMP: A System for Capturing and Tracing Provenance in MapReduce Workflows Park, H., Ikeda, R., Widom, J. 2011
  • Provenance-Based Refresh in Data-Oriented Workflows. Ikeda, R., Salihoglu, S., Widom, J. 2011
  • Provenance for Generalized Map and Reduce Workflows. Ikeda, R., Park, H., Widom, J. 2011
  • Human-Assisted Graph Search: It's Okay to Ask Questions. Parameswaran, A., Das Sarma, A., Garcia-Molina, H., Polyzotis, N., Widom, J. 2011
  • LIVE: A Lineage-Supported Versioned DBMS 22nd International Conference on Scientific and Statistical Database Management Das Sarma, A., Theobald, M., Widom, J. SPRINGER-VERLAG BERLIN. 2010: 416–433
  • Panda: A System for Provenance and Data. IEEE Data Engineering Bulletin, Special Issue on Data Provenance Ikeda, R., Widom., J. 2010; 3 (33): 42-49
  • Synthesizing View Definitions from Data. Sarma, A., Das, Parameswaran, A., Garcia-Molina, H., Widom, J. 2010
  • Panda: A System for Provenance and Data. Ikeda, R., Widom, J. 2010
  • Foundations of Uncertain-Data Integration. Agrawal, P., Sarma, A., Das, Ullman, J., D., Widom, J. 2010
  • Generalized Uncertain Databases: First Steps. Agrawal, P., Widom, J. 2010
  • Representing uncertain data: models, properties, and algorithms VLDB JOURNAL Das Sarma, A., Benjelloun, O., Halevy, A., Nabar, S., Widom, J. 2009; 18 (5): 989-1019
  • Swoosh: a generic approach to entity resolution VLDB JOURNAL Benjelloun, O., Garcia-Molina, H., Menestrina, D., Su, Q., Whang, S. E., Widom, J. 2009; 18 (1): 255-276
  • Trio: A System for Data, Uncertainty, and Lineage. Managing and Mining Uncertain Data Widom, J. edited by Aggarwal, C. 2009
  • STREAM: The Stanford Data Stream Management System. Data Stream Management: Processing High-Speed Data Streams Arasu, A., Babcock, B., Babu, S., Cieslewicz, J., Datar, M., Ito, K., Widom, J. edited by Garofalakis, M., Gehrke, J., Rastogi, R. 2009
  • Continuous Uncertainty in Trio. Agrawal, P., Widom, J. 2009
  • Trio-ER: The Trio System as a Workbench for Entity-Resolution. Technical Report Agrawal, P., Ikeda, R., Park, H., Widom., J. 2009
  • Outerjoins in Uncertain Databases. Ikeda, R., Widom, J. 2009
  • Schema Design for Uncertain Databases. Sarma, A., Das, Ullman, J., D., Widom, J. 2009
  • Confidence-Aware Join Algorithms IEEE 25th International Conference on Data Engineering Agrawal, P., Widom, J. IEEE. 2009: 628–639
  • Databases with uncertainty and lineage 32nd International Conference on Very Large Data Bases Benjelloun, O., Sarma, A. D., Hallevy, A., Theobald, M., Widom, J. SPRINGER. 2008: 243–64
  • Exploiting lineage for confidence computation in uncertain and probabilistic databases 24th IEEE International Conference on Data Engineering/ 1st International Workshop on Secure Semantic Web Das Sarma, A., Theobald, M., Widom, J. IEEE. 2008: 1023–1032
  • Towards Special-Purpose Indexes and Statistics for Uncertain Data. Sarma, A., Das, Agrawal, P., Nabar, S., Widom, J. 2008
  • Towards a Streaming SQL Standard. Jain, N., Mishra, S., Srinivasan, A., Gehrke, J., Widom, J., Balakrishnan, H. 2008
  • A First Course in Database Systems. Ullman, J., D., Widom, J. Prentice Hall. 2008
  • Database Systems - The Complete Book. Garcia-Molina, H., Ullman, J., D., Widom, J. Prentice Hall. 2008
  • Optimization of Continuous Queries with Shared Expensive Filters. Munagala, K., Srivastava, U., Widom, J. 2007
  • Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS. Mutsuzaki, M., Theobald, M., de Keijzer, A., Widom, J., Agrawal, P., Benjelloun, O. 2007
  • The CQL continuous query language: semantic foundations and query execution VLDB JOURNAL Arasu, A., Babu, S., Widom, J. 2006; 15 (2): 121-142
  • Declarative support for sensor data cleaning 4th International Conference on Pervasive Computing Jeffery, S. R., Alonso, G., Franklin, M. J., Hong, W., Widom, J. SPRINGER-VERLAG BERLIN. 2006: 83–100
  • A Pipelined Framework for Online Cleaning of Sensor Data Streams Jeffery, S., Alonso, G., Franklin, M., J., Hong, W., Widom., J. 2006
  • Trio: A System for Data, Uncertainty, and Lineage. Agrawal, P., Benjelloun, O., Sarma, A., Das, Hayworth, C., Nabar, S., Sugihara, T., Widom, J. 2006
  • Query Optimization over Web Services. Srivastava, U., Widom, J., Munagala, K., Motwani, R. 2006
  • Estimating Data Stream Quality for Object-Detection Applications. Sarma, A., Das, Jeffery, S., R., Franklin, M., J., Widom, J. 2006
  • A Pipelined Framework for Online Cleaning of Sensor Data Streams (short paper). Jeffery, S., R., Alonso, G., Franklin, M., J., Hong, W., Widom, J. 2006
  • Generic Entity Resolution in the SERF Project. IEEE Data Engineering Bulletin, Special Issue on Data Quality Widom, J. 2006; 2 (29): 13-20
  • An Introduction to ULDBs and the Trio System. IEEE Data Engineering Bulletin, Special Issue on Probabilistic Databases Benjelloun, O., Sarma, A., Das, Hayworth, C., Widom, J. 2006; 1 (29): 5-16
  • Working Models for Uncertain Data. Sarma, A., Das, Benjelloun, O., Halevy, A., Widom, J. 2006
  • ULDBs: Databases with Uncertainty and Lineage. Benjelloun, O., Das Sarma, A., Halevy, A., Widom, J. 2006
  • The Lowell database - Research self assessment COMMUNICATIONS OF THE ACM Abiteboul, S., Agrawal, R., Bernstein, P., Carey, M., Ceri, S., Croft, B., DeWitt, D., Franklin, M., Molina, H. G., Gawlick, D., Gray, J., Haas, L., Halevy, A., Hellerstein, J., Ioannidis, Y., Kersten, M., Pazzani, M., Lesk, M., Maier, D., Naughton, J., Schek, H., Sellis, T., Silberschatz, A., Snodgrass, R., Ullman, J., Weikum, G., Widom, J., Zdonik, S. 2005; 48 (5): 111-118
  • Adaptive caching for continuous queries 21st International Conference on Data Engineering (ICDE 2005) Babu, S., Munagala, K., Widom, J., Motwani, R. IEEE COMPUTER SOC. 2005: 118–129
  • Trio: A System for Integrated Management of Data, Accuracy, and Lineage. Widom, J. 2005
  • Operator Placement for In-Network Stream Query Processing. Srivastava, U., Munagala, K., Widom, J. 2005
  • Content-Based Routing: Different Plans for Different Data. Bizarro, P., Babu, S., DeWitt, D., Widom, J. 2005
  • Representing Uncertain Data: Uniqueness, Equivalence, Minimization, and Approximation Technical Report Das Sarma, A., Nabar, S., U., Widom, J. 2005
  • Efficient Monitoring and Querying of Distributed, Dynamic Data via Approximate Replication. IEEE Data Engineering Bulletin, Special Issue on In-Network Query Processing Olston, C., Widom, J. 2005; 1 (28): 11-18
  • Indexing relational database content offline for efficient keyword-based search 9th International Database Engineering and Application Symposium (IDEAS 2005) Su, Q., Widom, J. IEEE COMPUTER SOC. 2005: 297–306
  • The pipelined set cover problem 10th International Conference on Database Theory (ICDT 2005) Munagala, K., Babu, S., Motwani, R., Widom, J. SPRINGER-VERLAG BERLIN. 2005: 83–98
  • A denotational semantics for continuous queries over streams and relations SIGMOD RECORD Arasu, A., Widom, J. 2004; 33 (3): 6-11
  • Exploiting k-constraints to reduce memory overhead in continuous queries over data streams ACM TRANSACTIONS ON DATABASE SYSTEMS Babu, S., Srivastava, U., Widom, J. 2004; 29 (3): 545-580
  • Characterizing memory requirements for queries over continuous data streams 21st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS) Arasu, A., Babcock, B., Babu, S., McAlister, J., Widom, J. ASSOC COMPUTING MACHINERY. 2004: 162–94
  • CQL: A language for continuous queries over streams and relations 9th International Workshop on Data Bases and Programming Languages Arasu, A., Babu, S., Widom, J. SPRINGER-VERLAG BERLIN. 2004: 1–19
  • Mining the Space of Graph Properties. Jeh, G., Widom, J. 2004
  • Adaptive Ordering of Pipelined Stream Filters. Babu, S., Motwani, R., Munagala, K., Nishizawa, I., Widom., J. 2004
  • StreaMon: An Adaptive Engine for Stream Query Processing. Babu, S., Widom, J. 2004
  • Resource Sharing in Continuous Sliding-Window Aggregates. Arasu, A., Widom., J. 2004
  • Memory-Limited Execution of Windowed Stream Joins. Srivastava, U., Widom, J. 2004
  • Flexible Time Management in Data Stream Systems. Srivastava, U., Widom., J. 2004
  • Enabling Privacy for the Paranoids. Aggarwal, G., Bawa, M., Ganesan, P., Garcia-Molina, H., Kenthapadi, K., Mishra, N. 2004
  • Incremental computation and maintenance of temporal aggregates VLDB JOURNAL Yang, J., Widom, J. 2003; 12 (3): 262-283
  • Lineage tracing for general data warehouse transformations VLDB JOURNAL Cui, Y. W., Widom, J. 2003; 12 (1): 41-58
  • Exploiting hierarchical domain structure to compute similarity ACM TRANSACTIONS ON INFORMATION SYSTEMS Ganesan, P., Garcia-Molina, H., Widom, J. 2003; 21 (1): 64-93
  • STREAM: The Stanford Stream Data Manager. Arasu, A., Babcock, B., Babu, S., Datar, M., Ito, K., Nishizawa, I., Widom, J. 2003
  • Scaling Personalized Web Search. Jeh, G., Widom, J. 2003
  • Query Processing, Resource Management, and Approximation in a Data Stream Management System. Motwani, R., Widom, J., Arasu, A., Babcock, B., Babu, S., Datar, M. 2003
  • An Abstract Semantics and Concrete Language for Continuous Queries over Streams and Relations Arasu, A., Babu, S., Widom., J. 2003
  • Adaptive Filters for Continuous Queries over Distributed Data Streams. Olston, C., Jiang, J., Widom, J. 2003
  • Extended version appeared in SIAM Journal on Computing Feder, T., Motwani, R., Panigrahy, R., Olston, C., Widom, J. 2003; 2 (32): 538-547
  • Monitoring Stream Properties for Continuous Query Processing Srivastava, U., Babu, S., Widom., J. 2003
  • Computing the median with uncertainty SIAM JOURNAL ON COMPUTING Feder, T., Motwani, R., Panigrahy, R., Olston, C., Widom, J. 2003; 32 (2): 538-547
  • Characterizing Memory Requirements for Queries over Continuous Data Streams Arasu, A., Babcock, B., Babu, S., McAlister, J., Widom, J. 2002
  • SimRank: A Measure of Structural-Context Similarity. Jeh, G., Widom, J. 2002
  • Preliminary shorter version Arasu, A., Babcock, B., Babu, S., McAlister, J., Widom, J. 2002
  • Best-Effort Cache Synchronization with Source Cooperation. Olston, C., Widom, J. 2002
  • Models and Issues in Data Stream Systems. Babcock, B., Babu, S., Datar, M., Motwani, R., Widom, J. 2002
  • Continuous queries over data streams SIGMOD RECORD Babu, S., Widom, J. 2001; 30 (3): 109-120
  • Adaptive precision setting for cached approximate values ACM SIGMOD International Conference on Management of Data Olston, C., Loo, B. T., Widom, J. ASSOC COMPUTING MACHINERY. 2001: 355–66
  • Incremental computation and maintenance of temporal aggregates 17th International Conference on Data Engineering Yang, J., Widom, J. IEEE COMPUTER SOC. 2001: 51–60
  • A Data Stream Management System for Network Traffic Management. Babu, S., Subramanian, L., Widom., J. 2001
  • Run-Time Translation of View Tuple Deletions Using Data Lineage. Technical Report Cui, Y., Widom, J. 2001
  • Lineage Tracing for General Data Warehouse Transformations. Cui, Y., Widom, J. 2001
  • An algebraic approach to static analysis of active database rules ACM TRANSACTIONS ON DATABASE SYSTEMS Baralis, E., Widom, J. 2000; 25 (3): 269-332
  • Tracing the lineage of view data in a warehousing environment ACM TRANSACTIONS ON DATABASE SYSTEMS Cui, Y. W., Widom, J., Wiener, J. L. 2000; 25 (2): 179-227
  • WSQ/DSQ: A practical approach for combined querying of databases and the Web International Conference on Management of Data Goldman, R., Widom, J. ASSOC COMPUTING MACHINERY. 2000: 285–96
  • TIP: A temporal extension to Informix International Conference on Management of Data Yang, J., Ying, H. C., Widom, J. ASSOC COMPUTING MACHINERY. 2000: 596–96
  • Lore: A database management system for XML DR DOBBS JOURNAL Goldman, R., McHugh, J., Widom, J. 2000; 25 (4): 76-?
  • Temporal view self-maintenance 7th International Conference on Extending Database Technology Yang, J., Widom, J. SPRINGER-VERLAG BERLIN. 2000: 395–412
  • Lineage Tracing in a Data Warehousing System. Cui, Y., Widom, J. 2000
  • Database System Implementation. Garcia-Molina, H., Ullman, J., D., Widom, J. Prentice Hall. 2000
  • Better Static Rule Analysis for Active Database Systems. ACM Transactions on Database Systems Baralis, E., Widom, J. 2000; 3 (25): 269-332
  • Storing Auxiliary Data for Efficient Maintenance and Lineage Tracing of Complex Views. Cui, Y., Widom, J. 2000
  • Practical Lineage Tracing in Data Warehouses. Cui, Y., Widom, J. 2000
  • Practical Applications of Triggers and Constraints: Successes and Lingering Issues. Ceri, S., Cochrane, R., J., Widom, J. 2000
  • Performance Issues in Incremental Warehouse Maintenance. Labio, W., J., Yang, J., Cui, Y., Garcia-Molina, H., Widom, J. 2000
  • Computing the Median with Uncertainty. Feder, T., Motwani, R., Panigrahy, R., Olston, C., Widom, J. 2000
  • Summarizing and Searching Sequential Semistructured Sources. Technical Report Goldman, R., Widom, J. 2000
  • Implementing Parameterized Range Types in an Extensible DBMS. Technical Report Yang, J., Widom, J., Brown, P. 2000
  • From Semistructured Data to XML: Migrating the Lore Data Model and Query Language. Markup Languages: Theory & Practice Goldman, R., McHugh, J., Widom., J. 2000; 2 (2)
  • Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data. Olston, C., Widom, J. 2000
  • From Semistructured Data to XML: Migrating the Lore Data Model and Query Language. Goldman, R., McHugh, J. 1999
  • Optimizing Branching Path Expressions. Technical Report McHugh, J., Widom, J. 1999
  • Ozone: Integrating Structured and Semistructured Data. Lahiri, T., Abiteboul, S., Widom, J. 1999
  • Compile-Time Path Expansion in Lore. McHugh, J., Widom, J. 1999
  • Approximate DataGuides. Goldman, R., Widom, J. 1999
  • Query optimization for XML 25th International Conference on Very Large Data Bases McHugh, J., Widom, J. MORGAN KAUFMANN PUB INC. 1999: 315–326
  • Interactive query and search in semistructured databases International Workshop on the World Wide Web and Databases (WebDB 98) Goldman, R., Widom, J. SPRINGER-VERLAG BERLIN. 1999: 52–62
  • Managing historical semistructured data THEORY AND PRACTICE OF OBJECT SYSTEMS Chawathe, S. S., Abiteboul, S., Widom, J. 1999; 5 (3): 143-162
  • Representing and querying changes in semistructured data IEEE Computer-Society 14th International Conference on Data Engineering (ICDE 98) Chawathe, S. S., Abiteboul, S., Widom, J. IEEE COMPUTER SOC. 1998: 4–13
  • Indexing Semistructured Data. Technical Report McHugh, J., Widom, J., Abiteboul, S., Luo, Q., Rajaraman, A. 1998
  • A Location Management Technique to Support Lifelong Numbering in Personal Communications Services. ACM Mobile Computing and Communications Review Lam, D., Cui, Y., Cox, D., C., Widom, J. 1998; 1 (2): 27-35
  • Efficient PCS call setup protocols 17th Annual Joint Conference of the IEEE-Computer-Society/IEEE-Communications-Society (INFOCOM 98) Cui, Y. W., Lam, D., Widom, J., Cox, D. C. I E E E. 1998: 728–736
  • Maintaining temporal views over non-temporal information sources for data warehousing 6th International Conference on Extending Database Technology (EDBT 98) Yang, J., Widom, J. SPRINGER-VERLAG BERLIN. 1998: 389–403
  • Protocols for integrity constraint checking in federated databases DISTRIBUTED AND PARALLEL DATABASES Grefen, P., Widom, J. 1997; 5 (4): 327-355
  • Efficient and flexible location management techniques for wireless communication systems WIRELESS NETWORKS Jannink, J., Lam, D., Shivakumar, N., Widom, J., Cox, D. C. 1997; 3 (5): 361-374
  • Teletraffic modeling for personal communications services IEEE COMMUNICATIONS MAGAZINE Lam, D., Cox, D. C., Widom, J. 1997; 35 (2): 79-87
  • The WHIPS prototype for data warehouse creation and maintenance 13th International Conference on Data Engineering Wiener, J. L., Gupta, H., Labio, W. J., Zhuge, Y., GARCIAMOLINA, H., Widom, J. IEEE COMPUTER SOC. 1997: 589–589
  • Integrating Dynamically-Fetched External Information into a DBMS for Semistructured Data. McHugh, J., Widom, J. 1997
  • Change Management in Heterogeneous Semistructured Databases. Demonstration description Chawathe, S., Gossain, V., Liu, X., Widom, J., Abiteboul, S. 1997
  • The TSIMMIS Approach to Mediation: Data Models and Languages. Journal of Intelligent Information Systems Garcia-Molina, H., Papakonstantinou, Y., Quass, D., Rajaraman, A., Sagiv, Y., Ullman, J., D., Widom, J. 1997; 2 (8): 117-132
  • The Lorel Query Language for Semistructured Data. International Journal on Digital Libraries Abiteboul, S., Quass, D., McHugh, J., Widom, J., Wiener, J., L. 1997; 1 (1): 68-88
  • The STRIP Rule System for Efficiently Maintaining Derived Data. Adelberg, B., Garcia-Molina, H., Widom, J. 1997
  • On-Line Warehouse View Maintenance. Quass, D., Widom, J. 1997
  • Querying Semistructured Heterogeneous Information. Journal of Systems Integration Quass, D., Rajaraman, A., Ullman, J., D., Widom, J., Sagiv, Y. 1997; 3\4 (7): 381-407
  • Query Optimization for Semistructured Data. Technical Report McHugh, J., Widom, J. 1997
  • Per-User Profile Replication in Mobile Environments: Algorithms, Analysis, and Simulation Results. ACM/Baltzer Journal of Mobile Networks and Applications Shivakumar, N., Jannink, J., Widom, J. 1997; 2 (2): 129-140
  • Lore: A Database Management System for Semistructured Data. ACM SIGMOD Record McHugh, J., Abiteboul, S., Goldman, R., Quass, D., Widom, J. 1997; 3 (26): 54-66
  • Integrating Dynamically-Fetched External Information into a DBMS for Semistructured Data. ACM SIGMOD Record McHugh, J., Widom, J. 1997; 4 (26): 24-31
  • A location management technique to support lifelong numbering in personal communications services IEEE Global Telecommunications Conference (GLOBECOM 97) Lam, D., Cui, Y. W., Cox, D. C., Widom, J. IEEE. 1997: 704–710
  • Clustering association rules 13th International Conference on Data Engineering Lent, B., Swami, A., Widom, J. IEEE COMPUTER SOC. 1997: 220–231
  • DataGuides: Enabling query formulation and optimization in semistructured databases 23rd International Conference on Very Large Databases Goldman, R., Widom, J. MORGAN KAUFMANN PUB INC. 1997: 436–445
  • The Starburst active database Rule System IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING Widom, J. 1996; 8 (4): 583-595
  • A toolkit for constraint management in heterogeneous information systems 12th IEEE International Conference on Data Engineering Chawathe, S. S., GARCIAMOLINA, H., Widom, J. I E E E, COMPUTER SOC PRESS. 1996: 56–65
  • LORE: A Lightweight Object REpository for Semistructured Data. Quass, D., Widom, J., Goldman, R., Haas, K., Luo, Q., McHugh, J. 1996
  • Integrity Constraint Checking in Federated Databases. Grefen, P., Widom, J. 1996
  • Efficient and Flexible Location Management Techniques for Wireless Communication Systems. Jannink, J., Lam, D., Shivakumar, N., Widom, J., Cox, D., C. 1996
  • Change Detection in Hierarchically Structured Information . Chawathe, S., Rajaraman, A., Garcia-Molina, H., Widom, J. 1996
  • A System Prototype for Warehouse View Maintenance. Wiener, J., L., Gupta, H., Labio, W., J., Zhuge, Y., Garcia-Molina, H., Widom, J. 1996
  • Active Database Systems: Triggers and Rules for Advanced Database Processing. Widom, J., Ceri, S. Morgan Kaufmann. 1996
  • Integrating Heterogeneous Databases: Lazy or Eager?. ACM Computing Surveys Widom, J. 1996; 4 (28A)
  • Modeling location management in personal communications services 1996 5th IEEE International Conference on Universal Personal Communications Lam, D., Jannink, J., Cox, D. C., Widom, J. IEEE. 1996: 596–601
  • Making views self-maintainable for data warehousing 4th International Conference on Parallel and Distributed Information Systems Quass, D., Gupta, A., Mumick, I. S., Widom, J. I E E E, COMPUTER SOC PRESS. 1996: 158–169
  • STATIC ANALYSIS TECHNIQUES FOR PREDICTING THE BEHAVIOR OF ACTIVE DATABASE RULES ACM TRANSACTIONS ON DATABASE SYSTEMS Aiken, A., Hellerstein, J. M., Widom, J. 1995; 20 (1): 3-41
  • OBJECT EXCHANGE ACROSS HETEROGENEOUS INFORMATION SOURCES 11th International Conference on Data Engineering Papakonstantinou, Y., GARCIAMOLINA, H., Widom, J. I E E E, COMPUTER SOC PRESS. 1995: 251–260
  • Using Delta Relations to Optimize Condition Evaluation in Active Databases. Baralis, E., Widom, J. 1995
  • User Profile Replication for Faster Location Lookup in Mobile Environments. Shivakumar, N., Widom., J. 1995
  • The TSIMMIS Approach to Mediation: Data Models and Languages. Garcia-Molina, H., Papakonstantinou, Y., Quass, D., Rajaraman, A., Sagiv, Y., Ullman, J., D., Widom, J. 1995
  • Research Problems in Data Warehousing. Widom, J. 1995
  • The Stanford Data Warehousing Project. IEEE Data Engineering Bulletin, Special Issue on Materialized Views and Data Warehousing Hammer, J., Garcia-Molina, H., Labio, W., J., Widom, J., Zhuge, Y. 1995; 2 (18): 41-48
  • Querying Semistructured Heterogeneous Information. Quass, D., Rajaraman, A., Ullman, J., D., Widom, J., Sagiv, Y. 1995
  • View Maintenance in a Warehousing Environment. Zhuge, Y., Garcia-Molina, H., Hammer, J., Widom, J. 1995
  • DERIVING INCREMENTAL PRODUCTION RULES FOR DEDUCTIVE DATA INFORMATION SYSTEMS Ceri, S., Widom, J. 1994; 19 (6): 467-490
  • An Algebraic Approach to Rule Analysis in Expert Database Systems. Baralis, E., Widom, J. 1994
  • Active Database Systems Modern Database Systems: The Object Model, Interoperability, and Beyond Dayal, U., Hanson, E., N., Widom, J. edited by Kim, W. Addison-Wesley. 1994
  • The Tsimmis Project: Integration of Heterogeneous Information Sources. Chawathe, S., Garcia-Molina, H., Hammer, J., Ireland, K., Papakonstantinou, Y., Ullman, J., D., Widom, J. 1994
  • Deriving Incremental Production Rules for Deductive Data. Information Systems Ceri, S., Widom, J. 1994; 6 (19): 467-490
  • Constraint Checking with Partial Information. Gupta, A., Sagiv, Y., Ullman, J., D., Widom, J. 1994
  • Validating Constraints with Partial Information: Research Overview. Widom, J., Gupta, A., Sagiv, Y., Ullman, J., D. 1994
  • An Overview of Production Rules in Database Systems. The Knowledge Engineering Review Hanson, E., N., Widom, J. 1993; 2 (8): 121-143
  • Managing Semantic Heterogeneity with Production Rules and Persistent Queues. Ceri, S., Widom, J. 1993
  • Deductive and Active Databases: Two Paradigms or Ends of a Spectrum? Widom, J. 1993
  • Local Verification of Global Integrity Constraints in Distributed Databases. Gupta, A., Widom, J. 1993
  • A Denotational Semantics for the Starburst Production Rule Language. ACM SIGMOD Record Widom, J. 1992; 3 (21): 4-9
  • PRODUCTION RULES IN PARALLEL AND DISTRIBUTED DATABASE ENVIRONMENTS 18TH INTERNATIONAL CONF ON VERY LARGE DATA BASES ( VLDB 92 ) Ceri, S., Widom, J. MORGAN KAUFMANN PUB INC. 1992: 339–351
  • Behavior of Database Production Rules: Termination, Confluence, and Observable Determinism. Aiken, A., Widom, J., Hellerstein, J., M. 1992
  • The Starburst Rule System: Language Design, Implementation, and Applications. IEEE Data Engineering Bulletin, Special Issue on Active Databases Widom, J. 1992; 4 (15): 15-18
  • Production Rules in Parallel and Distributed Database Environments. Ceri, S., Widom, J. 1992
  • Trace-Based Network Proof Systems: Expressiveness and Completeness. ACM Transactions on Programming Languages and Systems Widom, J., Gries, D., Schneider, F., B. 1992; 3 (14): 396-416
  • Deriving Production Rules for Incremental View Maintenance. Ceri, S., Widom, J. 1991
  • DERIVING PRODUCTION RULES FOR INCREMENTAL VIEW MAINTENANCE 17th International Conference on Very Large Data Bases Ceri, S., Widom, J. MORGAN KAUFMANN PUB INC. 1991: 577–589
  • Implementing Set-Oriented Production Rules as an Extension to Starburst. Widom, J., Cochrane, R., J., Lindsay, B. 1991
  • Set-Oriented Production Rules in Relational Database Systems. Widom, J., Finkelstein, S., J. 1990
  • DERIVING PRODUCTION RULES FOR CONSTRAINT MAINTENANCE 16th International Conference on Very Large Data Bases Ceri, S., Widom, J. MORGAN KAUFMANN PUB INC. 1990: 566–577
  • Deriving Production Rules for Constraint Maintenance. Ceri, S., Widom, J. 1990
  • A Temporal-Logic Based Compositional Proof System for Real-Time Message Passing. Hooman, J., Widom, J. 1989
  • Expressiveness Bounds for Completeness in Trace-Based Network Proof Systems. Widom, J., Panangaden, P. 1988
  • Completeness and Incompleteness of Trace-Based Network Proof Systems. Widom, J., Gries, D., Schneider, F., B. 1987
  • Whiteboards: a Graphical Database Tool. ACM Transactions on Office Information Systems Donahue, J., Widom, J. 1986; 1 (4): 24-41