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XML-Retrieval / Document retrieval / Search engine / Relational model / Okapi BM25 / Information science / Information retrieval / Tf*idf


The QMUL Team with Probabilistic SQL at Enterprise Track Thomas Roelleke Elham Ashoori Abstract
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City

New York / Poisson / Dunedin / Kluwer / Lyon / London / /

Company

ACM Press / BBC / /

Country

New Zealand / France / United States / /

Facility

More complex / /

Holiday

ASSUMPTION / /

IndustryTerm

search strategies / knownitem search tasks / query processing / text search / database systems / discussion search / heterogeneous systems / enterprise search environments / expert search project / ad-hoc search system / Search tasks / search task / expert search runs / database technology / expert search / customised search systems / content-specific search engines / search/evidence space / knownitem search / prise search / expert search task / enterprise search / text-like search / expert search modelling / /

MarketIndex

WHERE / /

Organization

idf / /

Person

Dan Suciu / Justin Zobel / Ihab F. Ilyas / K. Bernhard Schiefer / J. van Rijsbergen / Nelson M. Mattos / Chengkai Li / Sumin Song / Stefan Dessloch / Mario A. Nascimento / Ross Wilkinson / C. J. van Rijsbergen / John Grant Robert Ross / V / C. Blair / Morgan Kaufmann / Donald Kossmann / David A. Grossman / Alistair Moffat / Nilesh N. Dalvi / Kevin Chen-Chuan Chang / Ophir Frieder / A. Blakeley / David Hawking / /

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Position

emails.author / PSQL programmer / SQL programmer / inv gcf.author / relational model in information retrieval / experts SELECT author / inv gcf WHERE lcf.author / author / retrieved emails SELECT DISTINCT author / local author / candidate for solving future retrieval tasks / /

Product

HySpirit / /

ProgrammingLanguage

SQL / XML / /

ProvinceOrState

New York / Massachusetts / /

Region

east coast / /

Technology

XML / using DB-like technology / DB technology / integrated DB+IR technology / pdf / database technology / /

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