Stream Management Systems 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. Our Stream Mill system does that
via ESL (Expressive Stram Language).
Information Systems must support temporal queries on the
evolution of datbases (the ArchIS project) and web documents
(the ICAP project).
Database Extensions for Data Mining. ATLaS supports user-defined
aggregates and table functions, whereby DBMS extensions are
programmed in SQL. Datamining and complex data streams applications
are easily expressed and efficiently supported with ATLaS.
Archives and Web Information Systems. Multiversion XML
documents can be stored and queried efficiently using temporal
DB techniques. The histories of both relaltional databases
and XML documents are published and queried using XML and
Spatial Reasoning in OR Systems.
SQLT uses a point-based temporal model to minimize
the new constructs needed in SQL and is implemented in the
TENORS prototype. SQLST supports an extensible
spatio-temporal data model and query language.
Support. EPL and TREPL languages extend active databases
with ability of triggering on complex event patterns. SQL-TS
is a query language highly optimized for finding patterns
in time series.
Reasoning and Deductive DBs. Taming the semantic and computational
problems of nonderministic and nonmonotonic reasoning leads
to new levels of expressive power. Then, active rules, planning
problems, and optimal graph search algorithms can be expressed
via efficiently computable logic programs
was built by H.Wang
IIS 00 70135
Shu Yao Chien,
Vassilis Tsotras works on XML versions
F. Wang works
on XML archives & historical queries
desinged SQLT and SQLST
EPL is by
TREPL is by
SQL-TS and its optimizer
Brogi, F.Giannotti, S.Greco,
D. Sacca ,
IRI 96 32272
Manco and Dick
Tsur are partners in applications