2015 - ACM Athena Lecturer Award For pioneering foundations, architecture, and applications of database systems
2009 - Fellow of the American Academy of Arts and Sciences
2005 - ACM Fellow For contributions to active and semi-structured database systems.
2005 - Member of the National Academy of Engineering For contributions to the design and implementation of active and semi-structured data management systems.
2000 - Fellow of John Simon Guggenheim Memorial Foundation
Her primary areas of study are Database, Data mining, Query language, Information retrieval and Data stream management system. Jennifer Widom usually deals with Database and limits it to topics linked to World Wide Web and Business intelligence and Unstructured data. Her study in the fields of Materialized view and Relational database under the domain of Data mining overlaps with other disciplines such as Lineage.
Her research investigates the connection between Materialized view and topics such as Set that intersect with issues in Data warehouse. Her Query language research is multidisciplinary, relying on both SQL, Data management, Query expansion, RDF query language and Query optimization. Her Information retrieval study integrates concerns from other disciplines, such as Distributed database, Efficient XML Interchange, XML database, Data model and Key.
Jennifer Widom mostly deals with Database, Data mining, Information retrieval, Query language and Theoretical computer science. As part of her studies on Database, Jennifer Widom often connects relevant areas like World Wide Web. Her work on Data warehouse as part of general Data mining study is frequently linked to Lineage, therefore connecting diverse disciplines of science.
Her Query language research is multidisciplinary, incorporating elements of Programming language, SQL, Data model, RDF query language and Query optimization. Her Query optimization research incorporates themes from Query by Example, Spatial query, Sargable, Query expansion and Data stream mining. Her Theoretical computer science research includes elements of Graph, Scalability, Computation and State.
Jennifer Widom mainly investigates Crowdsourcing, Database, Theoretical computer science, Data science and Workflow. Her Crowdsourcing study combines topics from a wide range of disciplines, such as Mathematical optimization, Machine learning, Information retrieval and Artificial intelligence. Her Information retrieval study combines topics in areas such as SQL and World Wide Web.
Her study in Database is interdisciplinary in nature, drawing from both Query plan, Data mining, Class, Query expansion and Web query classification. The concepts of her Data mining study are interwoven with issues in Data modeling and Isolation. Jennifer Widom has researched Theoretical computer science in several fields, including Scalability, Graph, Computation and Graph.
Her scientific interests lie mostly in Database, Theoretical computer science, Workflow, Provenance and Graph. Her research in Database intersects with topics in Class and Information retrieval. Her studies deal with areas such as Wireless sensor network, Network monitoring and Data stream, Data stream mining, Data stream management system as well as Class.
She interconnects Large set, Probabilistic analysis of algorithms, State, Heuristics and Artificial intelligence in the investigation of issues within Theoretical computer science. Her study on Workflow also encompasses disciplines like
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Models and issues in data stream systems
Brian Babcock;Shivnath Babu;Mayur Datar;Rajeev Motwani.
symposium on principles of database systems (2002)
Database Systems: The Complete Book
Hector Garcia-Molina;Jeffrey D. Ullman;Jennifer Widom.
SimRank: a measure of structural-context similarity
Glen Jeh;Jennifer Widom.
knowledge discovery and data mining (2002)
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
Roy Goldman;Jennifer Widom.
very large data bases (1997)
The Lorel Query Language for Semistructured Data
Serge Abiteboul;Dallan Quass;Jason McHugh;Jennifer Widom.
International Journal on Digital Libraries (1997)
The TSIMMIS project: Integration of heterogeneous information sources
Sudarshan S. Chawathe;Hector Garcia-Molina;Joachim Hammer;Kelly Ireland.
The CQL continuous query language: semantic foundations and query execution
Arvind Arasu;Shivnath Babu;Jennifer Widom.
very large data bases (2006)
Scaling personalized web search
Glen Jeh;Jennifer Widom.
the web conference (2003)
Active Database Systems: Triggers and Rules for Advanced Database Processing
Umeshwar Dayal;Jennifer Widom;Stefano Ceri.
Object exchange across heterogeneous information sources
Y. Papakonstantinou;H. Garcia-Molina;J. Widom.
international conference on data engineering (1995)
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