See also: IRC log
<mscottm> scribenick: Janos
<mscottm> https://docs.google.com/document/d/1VrBWM133Pxxqe5jbjgg2IPiwv5JaHo98DDJdqOT1yh0/edit
<michel> discussion from a month ago
<michel> mscottm: graph metrics in an rdf graph
<mscottm> http://dl.dropbox.com/u/21690634/Quantifying%20RDF%20data%20sets.pdf
mtscottm: talk about making RDF metrics available. Aspects of data which are needed for consumption. Biohackathon. Pharma wanted to know license; last time updated; language labels ..
;faceted browsing. How do we handle 30 different drugbank datasets available at central site it seems for data market ..
choice should be encoded in SPARQL query. In talk by janos: counts, and ratios. Companies called in are interested in metrics. Graph theoritic measures; other measures.
mscottm: Graph diameter based on
a particular predicate based on transitive closure. How deep
hierarchy goes.
... asking about federation across linked data health sciences;
Talked with EricP who is working on HL7 documents ..
Difficult to talk about all health care data would be better to scope.
<michel> I just compiled a list of dataset-related vocabularies: http://www.w3.org/wiki/HCLSIG/LLD/DatasetDescription
janos: Overview of schema.org extension HCLS talk with Aaron Brown of google for better web searching.
mscottm: Schema.org discussion could benefit from good relations ontology.
janos: we need to work together with HCLS and schema.org for feedback
mscottm: going back to graph metrics. Expensive to issue SPARQL query to count.
<michel> work that we did in the japan biohackathon: https://docs.google.com/spreadsheet/ccc?key=0AvCayBYdTclldEpBSS1wRXNEaU9OeHdWcGRwc09mSmc
http://code.google.com/p/hdt-it/
<mscottm> Janos: HDT = header dictionary triple representation of RDF
<michel> hgt w3c submission - http://www.w3.org/Submission/2011/03/
<michel> here's the new vocab introduced by hdt - http://www.w3.org/Submission/2011/SUBM-HDT-RDFS-20110330/
A video of the tool http://www.youtube.com/watch?v=HMPkc725sMY
mscottm: Switiching gears to
discussion of working group hcls on note. Practice notes more
specific details to be added.
... our group has potential to trail blaze in how we document a
published a linked open data, VOID, etc, using the graph
uri
... going through use case of other information could be used
to select data sets, E.g., knowing expression is about mouse
versus human
<mscottm> Scott: imagines that connectivity of EHR and clinical research and scans (DICOM) is part of http://www.ctsaconnect.org/ontologies
<michael> bye all!
janos: discussing scope of CTSAconnect; multipurpose use of integrated data connecting researchers and also for administrative data
mscottm: any questions please send to me
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