News Linked Data Summit
- Last Friday, I attended a "News Linked Data Summit", hosted by the BBC, Guardian and the Media Standards Trust. You may be interested to read some of the published coverage
- The News Linked Data Summit was timely, (coincidentally) being held the day after the formal release of the data.gov  datasets . The availability of such datasets opens up the possibilities of creating complex data mashups from the linked data  that is now being made available in a common format such as RDF. Note that the TR OpenCalais entity data can be obtained in RDF format . The BBC presented their nature offering , which is the result of combining data (animal, habitat, sounds, classification, video, news, vulnerability etc.) from many disparate sources.Rgds------------------------------------------------------------------------------------Dave Compton
Senior Technologist. NewsML Technical Owner.Thomson ReutersPhone: +44 (0)20 7542 8341
Mobile: +44 (0) 7990 56 8341dave.compton@...
From: firstname.lastname@example.org [mailto:email@example.com] On Behalf Of smyles77
Sent: 25 January 2010 20:48
Subject: [newsml-g2] News Linked Data Summit
Last Friday, I attended a "News Linked Data Summit", hosted by the BBC, Guardian and the Media Standards Trust. You may be interested to read some of the published coverage
http://mediastandar dstrust.blogspot .com/2010/ 01/news-linked- data-summit. html
http://www.slidesha re.net/rjw/ news-media- metadata- the-current- landscape
http://www.guardian .co.uk/help/ insideguardian/ 2010/jan/ 25/news-linked- data-summit
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- If I was to prepare a file that listed equivalences between different sports data ontologies (say SportsML, Olympics Data Format and DPA-SportsML), what would be the best format to use? Because we are dealing with general "classes" here (league, event, team, player, etc.) rather than more specific "concepts" or instances, I thought OWL would be the ticket rather than conceptItem, even though those things are certainly concepts. OWL has a rich vocab convering ontology properties.
My aim is to see if mapping equivalences between ontologies (usually associated with a specific data provider) would help in generating knowledge items of equivalent concepts from different data providers -- either for documentation purposes or even automation if APIs are set up.
Hope that was clear :) Anyone see any use in this? Anyone doing anything similar outside of sports?