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CIKM
2005
Springer
14 years 9 days ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
FQAS
2009
Springer
137views Database» more  FQAS 2009»
13 years 11 months ago
Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...
Luis M. de Campos, Juan M. Fernández-Luna, ...
ER
2006
Springer
112views Database» more  ER 2006»
13 years 10 months ago
An Architecture for Emergent Semantics
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...
Sven Herschel, Ralf Heese, Jens Bleiholder
CIKM
2011
Springer
12 years 6 months ago
ReDRIVE: result-driven database exploration through recommendations
Typically, users interact with database systems by formulating queries. However, many times users do not have a clear understanding of their information needs or the exact content...
Marina Drosou, Evaggelia Pitoura
SIGIR
2009
ACM
14 years 1 months ago
Topic (query) selection for IR evaluation
The need for evaluating large amounts of topics (queries) makes IR evaluation an uneasy task. In this paper, we study a topic selection problem for IR evaluation. The selection cr...
Jianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Co...