- From: Michel Dumontier <michel.dumontier@gmail.com>
- Date: Mon, 3 Oct 2011 01:07:19 +0100
- To: "M. Scott Marshall" <mscottmarshall@gmail.com>
- Cc: HCLS <public-semweb-lifesci@w3.org>
- Message-ID: <CALcEXf4G76h8rc9i0OvMOW9bO0ciL8B06xaGzZSrCvTzfLdYmw@mail.gmail.com>
Looks great ! m. On Sun, Oct 2, 2011 at 11:56 PM, M. Scott Marshall <mscottmarshall@gmail.com > wrote: > Semantic Web emphasis. Postdocs also welcome. Material borrowed from other > successful SemWeb tutorials and courses such as the SADI course. Bolstered > by experts such as Andrew Gibson, Katherine Wolstencroft, Erik Roos, Paul > Groth, Kristina Hettne, and Frank van Harmelen. > * > * > *NBIC PhD Course on Managing Life Science Information (2nd edition)* > * > * > Course coordinators: Marco Roos, M. Scott Marshall > > *Date:* 17-21 October 2011 (one week of tutorials) and a final workshop > on Friday 28 October 2011 to discuss project results > *Location:* Science Park, Amsterdam > *Registration:* http://www.nbic.nl/education/nbic-phd-school/enrolment/ > *Website: * > http://www.nbic.nl/education/nbic-phd-school/course-schedule/managing-life-science-information/ > > > > Did you ever suspect that the data that you need is somewhere but neither > discoverable nor accessible? > Have you ever produced valuable data that nobody can use anymore, including > yourself? > Have you ever wondered how to create a federation of distributed data > sources? > If you do not want your data to end up in a data graveyard, and for many > other information management issues, we have organised a course for you. > > In this course we will teach you methods to make data shareable and > self-describing. > You will learn how RDF and the 'Linked Data' principle works and how to: > > 1. Apply linked data for 'meaningful' data integration > 2. Expose your local data (including relational databases) for use in > other systems. > 3. Use Web Services to analyse data from anywhere. > 4. Apply text mining to link resources such as biobanks. > 5. Make human knowledge computable and associated with data. > 6. Make your data publishable artifacts for which you can get > scientific credit. > 7. Use tools such as MolGenis <http://www.molgenis.org/>, Taverna<http://www.taverna.org.uk/> > , SPARQL <http://www.w3.org/TR/sparql11-query/>, D2RQ<http://www4.wiwiss.fu-berlin.de/bizer/d2rq/> > , SWObjects <http://tinyurl.com/swobjects-swat4ls>, NCBO's BioPortal<http://bioportal.bioontology.org/> > , Anni <http://www.biosemantics.org/index.php?page=anni-2-0>, LarKC <http://larkc.org/>(Large > Knowledge Collider) and SADI <http://sadiframework.org/>. > 8. Collaboratively solve an information management problem > > * > > > Program* (tentative) > Monday: > Introduction by leading Semantic Web expert Prof. Dr. Frank van Harmelen; > Hands-on with RDF and SPARQL (M. Scott Marshall) > > Tuesday: > RDF, Minimal information models, and exposing data from local databases (M. > Scott Marshall); hands-on with MolGenis (Erik Roos) > > Wednesday: > Data integration with Web Services (Katherine Wolstencroft); Hands-on with > Taverna (Katherine Wolstencroft) > > Thursday: > Knowledge management and nano-publication (Andrew Gibson); Hands-on > federated queries with SWObjects (M. Scott Marshall) > > Friday: > Text mining for linking biobanks and hands-on with Anni (Marco Roos, > Kristina Hettne); Hands-on with LarKC (Paul Groth); DRINKS!!! > > -- Michel Dumontier Associate Professor of Bioinformatics Carleton University http://dumontierlab.com
Received on Monday, 3 October 2011 00:08:48 UTC