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Titlebook: Bridging Between Information Retrieval and Databases; PROMISE Winter Schoo Nicola Ferro Textbook 2014 Springer-Verlag Berlin Heidelberg 201

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楼主: hexagon
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Textbook 2014ent years, there has been an increasing cross-fertilization among the two fields and now many research challenges are transversal to them. With this in mind, a winter school was organized in Bressanone, Italy, in February 2013, within the context of the EU-funded research project PROMISE (Participat
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Keyword Search over Relational Databases: Issues, Approaches and Open Challenges each phase we analyze the main problems, the solutions adopted by the most important system developed by researchers and the open challenges. Finally, we introduce two open issues related to multi-source scenarios and database sources handling instance not fully accessible.
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Management von Multiscreen-Kampagnenht provide along with the keyword query, such as target categories or example documents. We place a particular emphasis on methods that are robust with respect to the availability of structured data and are able to deal with inconsistent or incomplete information.
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Semistructured Data Searchht provide along with the keyword query, such as target categories or example documents. We place a particular emphasis on methods that are robust with respect to the availability of structured data and are able to deal with inconsistent or incomplete information.
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Strategisches Kompetenz-Management significance tests are simple and useful, although statistical significance does not necessarily imply practical significance, and statistical insignificance does not necessarily imply practical insignificance; and (3) Several methods exist for discussing which metrics are “good,” although none of them is perfect.
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Management von Netzwerkorganisationenlysis of this campaign shows a correlation between the testers’ perception of the applications and the evaluation scores. Moreover, functional weaknesses of the tested IR applications can be identified and then systematically targeted.
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Semantic Search over Documents and Ontologiescepts conveying the meaning of some of these words (e.g. Cambridge is a location), and optionally relations between such concepts (e.g. Cambridge is in the UK) [1]. The latter enable somebody searching for documents about the UK to find also documents mentioning Cambridge.
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