Research Applications

Group Type: Working Group

Group Chair(s): Greg Newby, Nassib Nassar, Paul Yangwoo Kim

Group Email: gir-wg@ogf.org (Subscribe) (Archive by date) (Archive by thread)

The GIR RG is focused on search functionality
based on computational grids. Search, also known
as information retrieval, is a data-intensive
activity intended to match documents (of all
types) to human information needs.

The GIR RG is focused on search functionality based on
computational grids. The ability to distribute search
functions across computational grids is commonly used
to handle very large datasets, intensive search
capabilities, or large quantities of concurrent data
operations (queries, indexing, or data movement).

Search, also known as information retrieval, is a
data-intensive activity intended to match documents (of
all types) to human information needs. While search
functionality is a critical aspect of many datasets for
many organizations and individuals, standardization has
been elusive.

The RG will perform research and develop interoperable
applications for search on grid-enabled and grid-like
systems. This work is soundly based in current and
near-future state of the art information retrieval
systems, but with more emphasis on the relations among
different systems and techniques than is typical for
mainstream systems.

Drawing on GFD-I.027, GIR RG looks at grid-based search
as having three main elements: collection management,
indexing/searching, and query processing services to
grid users and applications.

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Group's Gridforge Project