Scottish Linked Data Interest Group: SLDIG workshop

Welcome to the 4th Scottish Linked Data Interest Group workshop!
By attending, you can learn about existing applications of Linked Data as well as applications of recent research in the area from various organisations, industry professionals and academics in and around Scotland.
The workshop is free and open to anyone, but please register here so we know how many to plan for.

Workshop organisers:
Jeff Z. Pan (University of Aberdeen)
Ian Watt (Aberdeen City Council)
Bill Roberts (Swirrl)
Honghan Wu (University of Aberdeen)

Programme


Monday, 12th January, 2015

Court Room
University Office Building
University of Aberdeen
AB24 3FX Aberdeen

11:00 11:10 Welcome and Introduction
11:10 11:30 Scottish Open Data Strategy -- Tabitha Stringer (Scottish Government)
11:30 11:50 WhatTheySaid: Enriching UK Parliament Debate with Linked Data -- Yunjia Li (Southampton University)
11:50 12: 10 LD 101: What is Linked Data? -- Bill Roberts (Swirrl), Jeff Z. Pan (University of Aberdeen)
12:10 12:30 Using the CURIOS System in the Hebridean Connections Web Site -- Tristan ap Rheinallt (Hebridean Connections)
12:30 12:50 CURIOS: Lessons Learnt and Opportunities for a Linked Data Eco-system -- Hai Nguyen (University of Aberdeen)
12:50 13:15 Discussion
13:15 14:00 Lunch
14:00 14:20 Scottish Government Statistics as Linked Data -- David Duncan-Fraser (Scottish Government), Bill Roberts (Swirrl)
14:20 14:40 IBM Watson and Linked Data -- Marco Monti (IBM)
14:40 15:00 Summarisation based Linked Data Visualisation -- Honghan Wu (University of Aberdeen)
15:00 15:20 Using Linked Data in House of Care -- Tim Warren (Alliance Scotland)
15:20 15:40 Sherlock: a Semi-Automatic Quiz Generation System using Linked Data -- Dong Liu (BBC), Chenghua Lin (University of Aberdeen)
15:40 16:00 Semantic Search of Linked Data by Abduction -- Jianfeng Du (Guangdong University of Foreign Study)
16:00 16:20 Discussion

to (Europe/London time)

Tickets: www.eventbrite.com

More Information

For people studying, researching, working with, or just interested to find out more about linked data and semantic web technologies.