Databases @ UMass

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Databases _at_ UMass
Database and Information Management Research
The database group focuses on building systems
for efficiently and securely managing data, with
a particular focus on emerging data types like
XML and streaming data and on embedded systems.
Current research topics
Faculty
Yanlei Diao Gerome Miklau James Allan Bruce
Croft Deepak Ganesan Neil Immerman David
Jensen Andrew McCallum Prashant Shenoy
RFID stream processing Large-scale RFID (Radio
Frequency Identification) systems are being
developed for supply chain management,
surveillance, healthcare, etc. These systems will
soon create high-volume streams of events that
need to be filtered, correlated, aggregated, and
transformed for use of end applications. We
address issues involved in such stream-based
event processing ranging from the query language,
to fast implementations, and to data quality.
Ultra low power sensor databases Recent advances
in flash technologies enables sensor nodes to be
equipped with high-capacity local storage. We are
designing new sensor databases on flash that
support power-constrained processing and
multi-resolution storage.
Privacy in data publishing The publication of
network traces, social network data, and medical
data, among others, offers great societal
benefit but may threaten the personal privacy of
individuals. We are developing techniques for
anonymizing datasets to permit the accurate
analysis of valuable datasets while protecting
privacy.
Secure data management Our research seeks to
provide secure and trustworthy management of data
in databases and on the World Wide Web. Ongoing
research in this are includes modeling
information disclosure in databases, the forensic
investigation of databases, and the protection of
published data using cryptography.
Contacts yanlei_at_cs.umass.edu
miklau_at_cs.umass.edu
Semistructured Data Management The database group
studies efficient management of XML by designing
fast query processing algorithms, as well as
studying the theoretical limits of XML query
optimization.
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CIIR _at_ UMass
Center for Intelligent Information Retrieval
The CIIR develops tools that provide effective
and efficient access to large, heterogeneous,
distributed text and multimedia databases (e.g.
Web search, desktop search, citation search,
image search).
Current research topics
Faculty
Bruce Croft James Allan Andrew McCallum R.
Manmatha David Jensen

• Distillation from Foreign Language Sources
• Retrieval Models
• Efficient Processing of Complex Queries
• Expert and Entity Search
• Retrieval of Semistructured Data
• Text Reuse and Information Flow
• Search Quality Prediction
• Finding Answers for Questions
• Blog Search and Authority
• Search on Extracted Citations
• Web search using Metaterms
• Indri Search Engine and Lemur Toolkit
• Partners Microsoft, Yahoo, Monster, IBM, others

Contact croft_at_cs.umass.edu