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DeALS. Deductive Application Language (DeAL) System - A next-generation Datalog System.
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SemScape. SemScape is an NLP-based framework for mining unstructured or free text. The ultimate goal of SemScape is to convert text into a machine-friendly structure, called TextGraph, which contains grammatical relations between terms and words in the text. In order to do so, SemScape uses linguistic morphologies to extract concepts and relations simultaneously.
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EARL. Early Accurate Results for Advanced Analytics on MapReduce - Early Accurate Result Library (EARL) for Hadoop.
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Panta Rhei. We study the support for schema evolution in the context of snapshot databases and transaction-time databases.
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- Stream Mill.
The complete data stream management system must support relational
streams, XML streams, and languages more powerful than SQL and
XQuery--as required, e.g., for mining queries and queries for
finding patterns in data streams.
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- ArchIS. Poweful
Archival Information Systems
can be built by combining XML and relational DBs. XML supports
a temporally-grouped view of the transaction-time history of the
underlying DB, whereby powerful temporal queries are expressed
in XQuery (with no extension required). Internally, RDBMSs support
these temporal views and queries efficiently via SQL/XML.
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Previous Projects
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- ATLaS.
ATLaS allows users to define new aggregate and table functions
in SQL itself. This provides a native extensibility mechanism
for DBMS to overcome their current limitations with advanced applications.
ATLaS is Turing-complete, and supports efficiently data mining
and complex data-intensive applications.
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- DEIS.
Support for Design of Evolving Information
Systems. An NSF-IIS SGER, Science of Design, Collaborative
Research project. The objective is to develop the enabling DB
technology for information systems to gracefully adapt to changes.
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- ICAP.
Incorporating Change Management into Archival Processes.We
propose a uniform approach to archive and retrieve the history
of web documents using XML. The evolution history and past versions of
these documents can be queried using XML query languages
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- TBALL.
Technologically Based Assessment of Language
and Literacy: an interdisciplinary project involving EE,
CS, Linguistics, Education, and Neuroscience departments from
UCLA, UCB, USC and partnerships with local elementary schools.
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- TENORS.
SQLST uses a point-based temporal model to minimize
the new constructs needed in SQL and is implemented in the TENORS
prototype.
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- SQL-TS. This
simple SQL extension searches for pattern in sequences and time
series. SQL-TS is supported by powerful query optimization techniques
based on a generalization of the Knuth, Morris and Pratt text
search algorithm.
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- TREPL. EPL
and TREPL extend active databases with ability of triggering on
complex event patterns.
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- LDL++.
This second-generation deductive database system
overcomes the semantic and computational problems of nonderministic
and nonmonotonic reasoning to achieve new levels of of expressive
power for declarative database languages. Active rules, planning
problems, monotonic aggregates, and optimal graph search algorithms
can then be expressed via efficiently computable logic programs.
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