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==Ranking==
Ranking in XML-Retrieval can incorporate both content relevance and structural similarity, which is the resemblance between the structure given in the query and the structure of the document. Also, the retrieval units resulting from an XML query may not always be entire documents, but can be any deeply nested XML elements, i.e. dynamic documents. The aim is to find the smallest retrieval unit that is highly relevant. Relevance can be defined according to the notion of specificity, which is the extent to which a retrieval unit focuses on the topic of request.<ref name="INEX2006">{{Cite web|url=http://www.cs.otago.ac.nz/homepages/andrew/2006-10.pdf|title=Overview of INEX 2006|last=Malik|first=Saadia|
==Existing XML search engines==
An overview of two potential approaches is available.<ref>{{Cite web|url=http://www.sigmod.org/record/issues/0612/p16-article-yahia.pdf|title=XML Search: Languages, INEX and Scoring|last=Amer-Yahia|first=Sihem|author2=Lalmas, Mounia |year=2006|publisher=SIGMOD Rec. Vol. 35, No. 4|accessdate=2009-02-10}} {{Dead link|date=October 2010|bot=H3llBot}}</ref><ref>{{Cite web|url=http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.109.5986&rep=rep1&type=pdf|title=XML Retrieval: A Survey|last=Pal|first=Sukomal|date=June 30, 2006|publisher=Technical Report, CVPR|accessdate=2013-07-04}}</ref> The INitiative for the Evaluation of XML-Retrieval (''INEX'') was founded in 2002 and provides a platform for evaluating such [[algorithm]]s.<ref name="INEX2006" /> Three different areas influence XML-Retrieval:<ref name="INEX2002">{{Cite web|url=http://www.is.informatik.uni-duisburg.de/bib/pdf/ir/Fuhr_etal:02a.pdf|title=INEX: Initiative for the Evaluation of XML Retrieval|last=Fuhr|first=Norbert|
===Traditional XML query languages===
[[Query language]]s such as the [[W3C]] standard [[XQuery]]<ref>{{Cite web|url=http://www.w3.org/TR/2007/REC-xquery-20070123/|title=XQuery 1.0: An XML Query Language|last=Boag|first=Scott|
===Databases===
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===Information retrieval===
Classic information retrieval models such as the [[vector space model]] provide relevance ranking, but do not include document structure; only flat queries are supported. Also, they apply a static document concept, so retrieval units usually are entire documents.<ref name="Schlieder2002"/> They can be extended to consider structural information and dynamic document retrieval. Examples for approaches extending the vector space models are available: they use document [[subtree]]s (index terms plus structure) as dimensions of the vector space.<ref>{{Cite web|url=http://www.cobase.cs.ucla.edu/tech-docs/sliu/SIGIR04.pdf|title=Configurable Indexing and Ranking for XML Information Retrieval|last=Liu|first=Shaorong|
==See also==
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