Linked Data Meetup London
Please sign up for the event here: http://www.meetup.com/Web-Of-Data/calendar/11056905/
Date: 9th September 2009, starting 1:30pm - 11pm
This meetup is for people who are interested in learning about Linked Data on the Web, people working on making data available on the web, people building infrastructure and applications for the Web of Data, and people who are interested in how to apply Linked Data technologies within their enterprises.
Bar opens at 6pm (free bar) and Tom Heath 'Linked Data the story so far' plus special guests. Food will be available (small cost).
Very looking forward to seeing you all,
Georgi Kobilarov (Freie Universität Berlin)
Silver Oliver (BBC)
1:30 pm Welcome
1:40 pm - 3:00 pm Presentation Session 1
3:00 pm - 3:20 pm break
3:20 pm - 4:40 pm Presentation Session 2
4:40 pm - 5:00 pm break
5:00 pm - 5:45 pm Panel: Government Data
5:45 pm - 6:30 pm Panel: Future of Journalism
6:30 pm Bar opens
7:15 pm Tom Heath : "Linked Data - The Story So Far"
7:45 pm Lightning Talks
Bar open to 11pm
"Future Of Journalism" Panel
Paul Bradshaw (Online Journalism)
Martin Belham (The Guardian)
John O'Donovan (BBC)
Leigh Dodds (Talis)
"Goverment Data" Panel
Paul Miller (Cloud of Data)
Mark Birbeck (webBackplane)
John Goodwin (Ordnance Survey)
Tom Scott / Yves Raimond (BBC)
"Contextualising BBC programmes using the Data Web"
The BBC, following the Linked Data principles, now publishes a URI for every TV and Radio programme it broadcasts this allows people to browser by schedule, genre, format and a-z.
More recently we have published URIs for music artists, animal species and habitats - these pages not only provide useful information in their own right but also allow us to re-contextualise the programme information helping users to discover new content and new patterns.
Mischa Tuffield / Steve Harris (Garlik)
"Making FOAF useful: http://foaf.qdos.com "
Since the beginning of the Linked Data Movement, a fair chunk of the resolvable RDF found on the web has been FOAF data. This talk will involve a brief overview of what FOAF represents, a list of the services we provide, how we go about saving public and private FOAF data, whilst presenting insight into the technologies used to underpin the services on foaf.qdos.com.
Leigh Dodds (Talis)
"DataIncubator.org -- What Is It & What's In It?"
This talk will introduce the dataincubator.org project which, supported by the Talis Connected Commons scheme, provides an umbrella project for publishing public domain linked data, with the aim of demonstrating to the original publishers the benefits of Linked Data, as well as a means to build on the community's efforts. The talk will review the project and some of the datasets that have currently been made available.
Richard Cyganiak (DERI Galway)
"Sig.ma - Live Views on the Web of Data"
Increasing amounts of high-quality data are being published on the web of data, but a lack of applications for searching and browsing it makes access and exploration difficult. Sig.ma is a new user interface that improves upon previous ones by offering fine-grained control over source selection, fuzzy entity matching, and schema and value consolidation. Sig.ma is online at http://sig.ma/ and provides the fastest way yet to get an overview about the data available on a given topic.
Libby Miller (BBC / NoTube)
"Beancounter - telling you about you"
Increasing automation means that lots of data is available about what you do, including what you watch and listen to. This means that companies or researchers can mine information about your activities and use them to make predictions about what you might like, and what they might be able to sell you. Beancounter uses attention data from multiple sources, enhanced by linked data, to tell you what you are *really* interested in - rather than what you *think* you are interested in. It puts the control about what sources can be mined in your hands, and limits what companies can do with the outputs. Beancounter is a product of the NoTube EU project.'
Georgi Kobilarov (Freie Universität Berlin / DBpedia)
"Integrating Distributed, Linked Data"
Jun Zhao (University Oxford)
"Linked Data for Connecting Medicine Knowledge"
Michael Smethurst (BBC)
"Rights, Privacy and Linked Data"
Ian Millard (University of Southampton)
Stephen Betts / John Muth (BBC)
Tom Heath (Talis)
"Linked Data - The Story so far"