Post on 12-Jan-2015
description
CivetFrom content to Linked Open Data
Sebastian Ryszard Kruk, PhDArkadiusz Kwoska
Friday, December 14, 12
CIVET - from text to RDFa
Current issues
where to get
vocabularies for machines
how to make text
better understood by
machines
OpenVocabulary - publishing dictionaries
Potential problems
Where to go from
here
Friday, December 14, 12
Human text vs
machines
plain text is virtually
useless for machines
source: http://www.flickr.com/photos/libaer2002/2398312710/
Friday, December 14, 12
Human text vs
machines continued
but not too many
orders
NLP and tags only lower the
order of magnitude of
the problem
source: http://www.flickr.com/photos/matthias_haas67/4200170217/
Friday, December 14, 12
Human text vs
machines continued
but there’s a lot
of human knowledge in just plain
text
we are already pass retrieving the low “hanging fruit”
semantics from databases
source: http://www.flickr.com/photos/katrinlorenzen/5409008140
Friday, December 14, 12
CIVET - from text to RDFa
Current issues
where to get
vocabularies for machines
how to make text
better understood by
machines
OpenVocabulary - publishing dictionaries
Potential problems
Where to go from
here
Friday, December 14, 12
Where to get LOD Vocabs ?
source:http://www.flickr.com/photos/bfurlong/2351689062/
Friday, December 14, 12
Where to get LOD
Vocabs ? continued
Friday, December 14, 12
Where to get LOD
Vocabs ? continued
Friday, December 14, 12
CIVET from text to
RDFa
Current issues
where to get
vocabularies for machines
how to make text
better understood by
machines
OpenVocabulary - publishing dictionaries
Potential problems
Where to go from
here
Friday, December 14, 12
CIVET - from text to RDFa
source:http://www.flickr.com/photos/xjrlokix/3269530621/
Friday, December 14, 12
CIVET - from text to RDFa
continued
source: http://www.flickr.com/photos/72213316@N00/3149423057/
Friday, December 14, 12
CIVET - from text to RDFa
continued
Friday, December 14, 12
Friday, December 14, 12
Friday, December 14, 12
Friday, December 14, 12
Friday, December 14, 12
CIVET - from text to RDFa
Current issues
where to get
vocabularies for machines
how to make text
better understood by
machines
OpenVocabulary - publishing dictionaries
Potential problems
Where to go from
here
Friday, December 14, 12
OpenVocabulary: from legacy
dictionaries to LOD
Friday, December 14, 12
CIVET - from text to RDFa
Current issues
where to get
vocabularies for machines
how to make text
better understood by
machines
OpenVocabulary - publishing dictionaries
Potential problems
Where to go from
here
Friday, December 14, 12
Mind the hole ...
Mind the hole
Friday, December 14, 12
Mind the hole
continued
working with text is
sometimes tricky
often, when you
deal with non-English text
Friday, December 14, 12
Mind the hole
continued
current meaning
discovery algorithms are still
questionable
but they do not take into account linked data
Friday, December 14, 12
CIVET - from text to RDFa
Current issues
where to get
vocabularies for machines
how to make text
better understood by
machines
OpenVocabulary - publishing dictionaries
Potential problems
Where to go from
here
Friday, December 14, 12
Where to go from
here?
Improve, improve, improve ... meaning discovery
quality and performance
discovering key
meaningful facts
Friday, December 14, 12
Where to go from
here?continued
Validate, validate, validate ... results
with real users with
real problems
SemLib annotation engine
for gathering feedback discovering
key meaningful facts
SemLib
recommendation engine to utilize results
Friday, December 14, 12
CivetFrom content to Linked Open Data
http://civet.knowledgehives.com/Semantic tools for digital libraries a.k.a. SemLib is a 24th month R&D project supported by EU FP7 Theme: Research for SMEs (no. FP7-SME-2010-01-262301-SEMLIB) commenced in January 2011.
More info at http://www.semlibproject.eu
Friday, December 14, 12