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Data Integration in the Life Sciences - 6th International Workshop, DILS 2009, Manchester, UK, July 20-22, 2009, Proceedings (Paperback, 2009 ed.)
Norman W. Paton, Paolo Missier, Cornelia Hedeler
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R1,537
Discovery Miles 15 370
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Ships in 10 - 15 working days
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Data integration in the life sciences continues to be important but
challe- ing. The ongoing development of new experimental methods
gives rise to an increasingly wide range of data sets, which in
turn must be combined to allow more integrative views of biological
systems. Indeed, the growing prominence of systems biology, where
mathematical models characterize behaviors observed in experiments
of di?erent types, emphasizes the importance of data integration to
the life sciences. In this context, the representation of models of
biological behavior as data in turn gives rise to challenges
relating to provenance, data quality, annotation, etc., all of
which are associated with signi?cant research activities within
computer science. The Data Integration in the Life Sciences (DILS)
Workshop Series brings together data and knowledge management
researchers from the computer s- ence research community with
bioinformaticians and computational biologists, to improve the
understanding of how emerging data integration techniques can
address requirements identi?ed in the life sciences.
A timely survey of the field from the point of view of some of the
subject's most active researchers. Divided into several parts
organized by theme, the book first covers the underlying
methodology regarding active rules, followed by formal
specification, rule analysis, performance analysis, and support
tools. It then moves on to the implementation of active rules in a
number of commercial systems, before concluding with applications
and future directions for research. All researchers in databases
will find this a valuable overview of the topic.
This book is the proceedings of a workshop held at Heriot-Watt
University in Edinburgh in August 1993. The central theme of the
workshop was rules in database systems, and the papers presented
covered a range of different aspects of database rule systems.
These aspects are reflected in the sessions of the workshop, which
are the same as the sections in this proceedings: Active Databases
Architectures Incorporating Temporal Rules Rules and Transactions
Analysis and Debugging of Active Rules Integrating Graphs/Objects
with Deduction Integrating Deductive and Active Rules Integrity
Constraints Deductive Databases The incorporation of rules into
database systems is an important area of research, as it is a major
component in the integration of behavioural information with the
structural data with which commercial databases have traditionally
been associated. This integration of the behavioural aspects of an
application with the data to which it applies in database systems
leads to more straightforward application development and more
efficient processing of data. Many novel applications seem to need
database systems in which structural and behavioural information
are fully integrated. Rules are only one means of expressing
behavioural information, but it is clear that different types of
rule can be used to capture directly different properties of an
application which are cumbersome to support using conventional
database architectures. In recent years there has been a surge of
research activity focusing upon active database systems, and this
volume opens with a collection of papers devoted specifically to
this topic.
A timely survey of the field from the point of view of some of the
subject's most active researchers. Divided into several parts
organized by theme, the book first covers the underlying
methodology regarding active rules, followed by formal
specification, rule analysis, performance analysis, and support
tools. It then moves on to the implementation of active rules in a
number of commercial systems, before concluding with applications
and future directions for research. All researchers in databases
will find this a valuable overview of the topic.
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