7th workshop on large-scale distributed systems for information retrieval (LSDS-IR'09)

Authors:
Claudio Lucchese;Gleb Skobeltsyn;Wai Gen Yee
Affiliations:
C.N.R. -- I.S.T.I., Pisa, Italy;Google Inc., Zurich, Switzerland;Illinois Institute of Technology, Chicago, IL
Venue:
ACM SIGIR Forum
Year:
2009

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Abstract

Due to the dramatically increasing amount of available data, effective and scalable solutions for data organization and search are essential. Distributed solutions naturally provide promising alternatives to standard centralized approaches. With the computational power of thousands or millions of computers in clusters or peer-to-peer systems, the challenges that arise are manifold, ranging from efficient resource discovery to issues in load balancing and distributed query processing. The 2009 edition of the Workshop on Large-Scale Distributed Systems for Information Retrieval (LSDS-IR'09) provided a forum for researchers to discuss these problems and to define new directions in research on Distributed Information Retrieval. The Workshop program featured research contributions in the areas of collection selection, similarity search, index compression, distributed indexing, query processing, distributed computing, and network formation. In addition, there were two industry talks on large scale Web search and distributed computing.