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Ranking of object summaries
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK. .
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK. .
2009 (English)In: Data Engineering, 2009. ICDE’09. IEEE 25th International Conference on, 2009, 1580-1583 p.Conference paper (Refereed)
Abstract [en]

previously proposed Keyword Search paradigmproduces, as a query result, a ranked list of Object Summaries(OSs);eachOSsummarizesalldataheldinarelationaldatabaseabout a particular Data Subject (DS). This paper furtherinvestigatestherankingofOSsandtheirtuplesastofacilitate(1)the top(k ranking of OSs and also (2) the generation of partialsize(lOSs(i.e.comprisedofthelmostimportanttuples).Therefore, a global Importance score for each tuple of thedatabase (denoted asIm(ti)) is investigated and quantified. Forthis purpose,ValueRank (an extension of ObjectRank) isintroducedwhichfacilitatestheestimationofscoresforarbitrarydatabases(incontrasttoPageRank(styletechniquesthatareonlyeffective on bibliographic databases). In addition, a variation ofCombined functions are investigated for assigning anImportance score to an OS (denoted asIm(OS)) and a localImportancescoreoftheirtuples(denotedasIm(OS,ti)).Preliminary Experimental evaluation on DBLP and North wind Data bases is presented.

Place, publisher, year, edition, pages
2009. 1580-1583 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-318230OAI: oai:DiVA.org:uu-318230DiVA: diva2:1085992
Conference
ICDE, DBRANK Workshop
Available from: 2017-03-30 Created: 2017-03-30 Last updated: 2017-04-03Bibliographically approved

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Fakas, Georgios John
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Output format
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