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  Semistructured Data Search Evaluation

Schenkel, R. (2014). Semistructured Data Search Evaluation. In N. Ferro (Ed.), Bridging between Information Retrieval and Databases (pp. 164-164). Berlin: Springer. doi:10.1007/978-3-642-54798-0_7.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-8415-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-8417-D
Genre: Book Chapter

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 Creators:
Schenkel, Ralf1, Author           
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1External Organizations, ou_persistent22              

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 Abstract: Semistructured data is of increasing importance in many application domains, but one of its core use cases is representing documents. Consequently, effectively retrieving information from semistructured documents is an important problem that has seen work from both the information retrieval (IR) and databases (DB) communities. Comparing the large number of retrieval models and systems is a non-trivial task for which established benchmark initiatives such as TREC with their focus on unstructured documents are not appropriate. This chapter gives an overview of semistructured data in general and the INEX initiative for the evaluation of XML retrieval, focusing on the most prominent Adhoc Search Track.

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Language(s): eng - English
 Dates: 20142014
 Publication Status: Issued
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 Identifiers: BibTex Citekey: Schenkel_PromiseWS2013
DOI: 10.1007/978-3-642-54798-0_7
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Title: Bridging between Information Retrieval and Databases
  Subtitle : PROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures
Source Genre: Book
 Creator(s):
Ferro, Nicola1, Editor
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1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 164 - 164 Identifier: ISBN: 978-3-642-54797-3

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
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Pages: - Volume / Issue: 8173 Sequence Number: - Start / End Page: - Identifier: ISSN: 0302-9743