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A minimum effort distributed library for KMi

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'Does anyone have a copy of Readings in Nonmonotonic Reasoning' ... 'bookshelf' pages crawled 'Buddyfinder' Jabber bot. KMi search engine. 30/05/2005 ... – PowerPoint PPT presentation

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Title: A minimum effort distributed library for KMi


1
A minimum effort distributed library for KMi
  • (HackLab Project 3)
  • Tom Heath and Mark Gaved
  • Knowledge Media Institute
  • The Open University, UK
  • ESWC Workshop on Scripting for the Semantic Web

2
Problem scenarioTom couldnt find a book
  • Does anyone have a copy of Readings in
    Nonmonotonic Reasoning?

Question how can we find out who has a
particular book on their shelf in KMi? Answer we
need a system!
3
Johns Champagne challenge
  • "So Tom, if you manage to set up a running system
    (technology people) which captures over 50 of
    what is on the shelves in KMi and maintains this
    for at least 3 months I'll buy you a bottle of
    champagne (or equivalent other alcohol)"

4
Tom and Mark go to work on the challenge
5
  • Issues to address
  • Acquisition
  • Maintenance
  • Access/Use
  • Approaches we rejected
  • A central database
  • Endnote libraries on a network share

6
Our approach
  • Principles
  • minimum effort
  • maximum devolution, maximum reuse
  • Solution
  • ISBNs, 3rd party web services, some PHP glue,
    existing search tools

7
ArchitectureAcquisition and Maintenance
php script on kmi.open.ac.uk
aggregates
barcodes scanned to txt file
reads
queries
results output to browser/crawler
0596002025 0738206679 1587990180 0130649317
0596001339 0071353461 0262083035
ISBN resolution service at isbn.org.uk
txt file uploaded to user web space
8
ArchitectureAccess/Use
search index
KMi search engine
bookshelf pages crawled
Buddyfinder Jabber bot
9
Quick demo
10
Some more semantics please
  • Next steps
  • Transform XML output to RDF/XML on the fly
  • Make person-to-book link machine readable
  • Some technical bits (caching, error handling..)
  • Result
  • Nice big SW data set to play with!
  • Integrate with the KMi Semantic Portal
  • Other applications
  • placename-to-lat/long resolution,
    email-to-mbox_sha1sum

11
Thankyou!
  • Acknowledgements
  • Marc Eisenstadt and John Domingue (for feedback)
  • Chris Denham (for Buddyfinder)
  • the OU Librarians (for the barcode scanner)
  • Questions?
  • Contact details
  • t.heath,m.b.gaved_at_open.ac.uk
  • http//kmi.open.ac.uk
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