• English
    • Norsk
  • English 
    • English
    • Norsk
  • Administration
View Item 
  •   Home
  • Øvrige samlinger
  • Høstingsarkiver
  • CRIStin høstingsarkiv
  • View Item
  •   Home
  • Øvrige samlinger
  • Høstingsarkiver
  • CRIStin høstingsarkiv
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Sharing Statistics for SPARQL Federation Optimization, with Emphasis on Benchmark Quality

Kjernsmo, Kjetil
Journal article; AcceptedVersion; Peer reviewed
View/Open
eswc-phdsymp.pdf (97.08Kb)
Year
2012
Permanent link
http://urn.nb.no/URN:NBN:no-39805

CRIStin
1068545

Metadata
Show metadata
Appears in the following Collection
  • Institutt for informatikk [3608]
  • CRIStin høstingsarkiv [15978]
Original version
Lecture Notes in Computer Science. 2012, 7295, 828-832, DOI: http://dx.doi.org/10.1007/978-3-642-30284-8_65
Abstract
Federation of semantic data on SPARQL endpoints will allow data to remain distributed so that it can be controlled by local curators and swiftly updated. There are considerable performance problems, which the present work proposes to address, mainly by computation and exposure of statistical digests to assist selectivity estimation. For an objective evaluation as well as comparison of engines, benchmarks that exhaustively covers the parameter space is required. We propose an investigation into this problem using statistical experimental planning.

The Semantic Web: Research and Applications. Lecture Notes in Computer Science Volume 7295, 2012, pp 828-832. The final publication is available at Springer
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy
 

 

For students / employeesSubmit master thesisAccess to restricted material

Browse

All of DUOCommunities & CollectionsBy Issue DateAuthorsTitlesThis CollectionBy Issue DateAuthorsTitles

For library staff

Login
RSS Feeds
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy