New PDF release: String Processing and Information Retrieval: 12th

By J. Shane Culpepper, Alistair Moffat (auth.), Mariano Consens, Gonzalo Navarro (eds.)

ISBN-10: 3540297405

ISBN-13: 9783540297406

This publication constitutes the refereed lawsuits of the twelfth overseas convention on String Processing and knowledge Retrieval, SPIRE 2005, held in Buenos Aires, Argentina in November 2005.

The 27 revised complete papers and 17 revised brief papers awarded have been rigorously reviewed and chosen from 102 submissions. The papers tackle present matters in all features of string processing, info retrieval, trend matching, computational biology, semi-structured information, and similar applications.

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Additional resources for String Processing and Information Retrieval: 12th International Conference, SPIRE 2005, Buenos Aires, Argentina, November 2-4, 2005. Proceedings

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Among other techniques, linguistic analysis of queries was meant to bring about decisive improvements in retrieval processes and in ergonomy. However, only few linguistic methods, such as phrasal term extraction or some kinds of query expansion, are now commonly used in information retrieval systems. The rapidly growing spread of XML document collections brings new motivating factors to the use of natural language techniques: – Benefits that can be gained from the use of natural language queries are probably much higher in XML retrieval than in traditional IR.

3. The semantic analysis of topic 130 (left), is reduced by some generic rules (center), leading to a new representation (right). Bold predicates emphasize words representing XML tag names and the framed letter stands for the element that should be returned to the user. The first three rules deal with verbal phrases “to search sth”, “to deal with sth” and “to contain sth”. 34 X. Tannier and S. Geva The representation obtained at the end of step 5 does not depend on any retrieval system or query language.

Consens and G. ): SPIRE 2005, LNCS 3772, pp. 25–28, 2005. c Springer-Verlag Berlin Heidelberg 2005 26 P. Boldi and S. Vigna Our techniques are particularly useful for in-memory indices, that is, for indices kept in core memory (as it happens, for instance, in Google), where most of the computational cost of retrieving document is scanning and decoding inverted lists (as opposed to disk access), and at the same time a good compression ratio is essential. it/. 2 Perfect Embedded Skip Lists for Inverted Indices Perfect skip lists.

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String Processing and Information Retrieval: 12th International Conference, SPIRE 2005, Buenos Aires, Argentina, November 2-4, 2005. Proceedings by J. Shane Culpepper, Alistair Moffat (auth.), Mariano Consens, Gonzalo Navarro (eds.)


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