Updated Invitation: Linked Life Data @ Mon 2012-05-21 11:00 - 12:00 (public-semweb-lifesci@w3.org)

This event has been changed.

Title: Linked Life Data
Dial-In #: +1.617.761.6200 (Cambridge, MA)

Participant Access Code: 4257 ("HCLS")
IRC Channel: irc.w3.org port 6665 channel #HCLS
IRC Web: http://www.mibbit.com/chat/?server=irc.w3.org:6665&channel=%23hcls


Duration: ~1 hour
Frequency: weekly
Convener: M. Scott Marshall

Slides: http://dl.dropbox.com/u/21690634/Quantifying%20RDF%20data%20sets.pdf


Title: Quantifying RDF data sets

Abstract:
The semantic Web is built on the Resource Description Framework (RDF).  RDF
is a graph model. It would be expected that a wide range of network
analytical tools could be directly applied to a RDF data set. However, most
network algorithms assume that a graph does not have parallel edges which
the RDF graph model allows. Two approaches will be examined: direct
measures of RDF graph structure using ratios and extraction of graphs from
an RDF data set.   Py-Triple-Simple (
http://code.google.com/p/py-triple-simple/), an experimental pure Python
library, can extract “well behaved” graphs from an N-triples file andcan
quantify RDF graph structure using ratios.


Bio:
Janos Hajagos is a Senior Programmer/Analyst at Stony Brook University
School of Medicine, New York. He is the principal data analyst for the New
York State Department of Health Modernization of Medicaid Initiatives and
the campus lead for CTSA Connect (http://www.ctsaconnect.org/).  He
received his Ph.D. in Ecology and Evolution from Stony Brook University.  
(changed)
When: Mon 2012-05-21 11:00 – 12:00 Eastern Time
Where: #hcls
Calendar: public-semweb-lifesci@w3.org
Who:
     * Health Care Life Sciences - organizer
     * public-semweb-lifesci@w3.org

Event details:  
https://www.google.com/calendar/event?action=VIEW&eid=dmRsdmprcXJrY2R0djZrYTlvOGVsZ3Y0cWtfMjAxMjA1MjFUMTUwMDAwWiBwdWJsaWMtc2Vtd2ViLWxpZmVzY2lAdzMub3Jn&tok=MTcjdzMuaGNsc0BnbWFpbC5jb20yMjczNmQ4YzgxOTA4NDk1YzE5MzgwZTE3ZTZkMDVkYjViODk4YzY1&ctz=America/New_York&hl=en


Invitation from Google Calendar: https://www.google.com/calendar/


You are receiving this courtesy email at the account  
public-semweb-lifesci@w3.org because you are an attendee of this event.

To stop receiving future notifications for this event, decline this event.  
Alternatively you can sign up for a Google account at  
https://www.google.com/calendar/ and control your notification settings for  
your entire calendar.