[BCN News] IBM partners with Aberdeen University to bring Watson to medical research

IBM2[BCN news March 18, 2016 Written by Jamie Davies] The University of Aberdeen has recently announced a partnership with IBM, which will allow students and staff to utilise Watson Engagement Advisor.

IBM scientists are collaborating with researchers at the university on the EU Marie Curie K-Drive project, an initiative which explores a number of different use cases for big data and knowledge graphs, including the treatment of cancer. The results of the project will also form the foundation of any proposals put forward by the university for the EU Horizon 2020 Programme.

Cognitive represents an entirely new model of computing that includes a range of technology innovations in analytics, natural language processing and machine learning,” said Paul Fryer, Academic Initiative Leader at IBM. “The collaboration between IBM and the University of Aberdeen, which builds on a long-standing relationship, aims to help nurture the next generation of innovators; and is the first initiative of this type in Scotland.

The university is now one of four in the UK to have access to the Watson Engagement Advisor, which will be used by students and staff to forward their cognitive computing research.

The partnership with IBM is an exciting opportunity to advance our research in this area,” said Dr Jeff Z. Pan, coordinator of the K-Drive project at the university. “Cognitive computing is empowering human decision-making processes by understanding and exploiting data which is structured and unstructured, and our research is focused on how to make the best use of both types of data.”

Watson’s marketing messaging has primarily focused around the commercialization of artificial intelligence and big data. The partnership with the University of Aberdeen and the K-Drive project builds on IBM’s efforts to demonstrate the real-world viability. Over recent weeks, IBM has announced a number of collaborations to utilize the Watson proposition, including with Mastercard and the Honda Formula One team.

IBM and Honda announced that Watson technology would be incorporated into the McLaren Honda Formula One cars and pits to improve performance and racing decisions in real-time. The sensors will collect data from a number of different sources including driver timing, fuel flow rates and engine performance. The partnership is in reaction to new regulations that required all Formula One cars to use hybrid engines and limited fuel consumption during races.

With the rapid growth of the Internet of Things, by 2025, every car will be connected in some way exuding vast amounts of streaming data ranging from traffic updates to health of the vehicle, operations and more,” said Harriet Green, GM for Watson IoT at IBM. “We are excited to team with Honda to provide sophisticated cognitive IoT capabilities and analytics to combine data directly from the F1 racing vehicles with other sources, allowing Honda to not only enhance its vehicles that are built for speed, but to also be more friendly to our environment.

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4th Scottish Linked Data Interest Group workshop

The  workshop will take place at University of Aberdeen, 11.00-16.00, Monday 12th January, 2015.

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, to register and find out more please go to

http://www.eventbrite.com/e/4th-scottish-linked-data-interest-group-workshop-tickets-14950164344

 

Programme

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

Tutorial: Constructing and Understanding Knowledge Graph

Dr. Jeff Z. Pan gave a tutorial in JIST2014 conference on Constructing and Understanding Knowledge Graph.

Abstract: The benefits and potentials of Linked Data (LD) have been utilised and demonstrated by numerous applications from academic, industry and public sectors. This explains the recent vast increase of LD not only in data volume but also in number of datasets and related domains. However, consuming a linked dataset requires technical background of Semantic Web (SW) techniques and the knowledge of the dataset. Direct use of such valuable knowledge space is very time consuming and is still a privilege of SW “geeks”. In this tutorial, we propose the vision of converting LD into knowledge graphs which are not only capable to enhance accessibilities in LD consumption but also enable LD directly usable to end users. Specifically, this tutorial consists of two parts. The first part will introduce the overview, applications and research challenges to create knowledge graphs on top of LD. The second part will focus on specific techniques for knowledge graph, including knowledge graph construction and knowledge graph understanding.

Dr. Jeff Z. Pan gave a tutorial on Large Scale Reasoning Over Semantic Data in ISWC2014

In ISWC2014 conference, Jeff Z. Pan gave a tutorial on Large Scale Reasoning Over Semantic Data.

Abstract: The tutorial aims to provide an overview of the approaches used for large scale reasoning over semantic data, the systems developed as well as the lessons learned while developing them. We will discuss some applications which require scalable reasoning solutions. Questions such as what makes distributed/parallel reasoning hard would also be covered during the tutorial. Directions for future research work would be discussed.

Dr. Marco Monti gave a presentation at “15th Biennial SMDM European Meeting 2014”

Dr. Marco Monti, one K-Drive researcher from IBM Italian, gave a presentation at 15th Biennial SMDM European Meeting 2014 (http://www.smdm2014.com/). The meeting was held in Elzenveld Hotel and Congress Centre Antwerp, Belgium from June 8 to 10, and had a special focus on clinical decision making in the era of personalized medicine. The title of the presentation is “Advanced content analytics to investigate clinical deviations in cancer treatments“. The work is a collaboration with other researchers of Esther Goldbraich, Zeev Waks, Ariel Farkash, Michele Torresani, Paolo Giovanni Casali, and Boaz Carmeli.

Dr. Panos Alexopoulos will give a seminar to CSD of UNIABDN about vagueness

Speaker: Dr. Panos Alexopoulos (iSOCO)

Title: Detecting, Analyzing and Representing Vagueness in Ontologies for Facilitating Reuse.
Info: Tuesday, April 1, 14:00-15:00, MT 203

Abstract: The emergence in the last years of initiatives like the Linked Open Data (LOD) has led to a significant increase of the amount of structured semantic data on the Web. Nevertheless, the wider reuse of such data is inhibited by a variety of factors, ranging from the quality of the data to the richness/explicitness of its ontological descriptions. In this talk, we focus on the phenomenon of vagueness as a potentially problematic factor for the shareability and reusability of ontologies and semantic data, and we describe a novel approach for dealing with it. Key components of this approach include a vague sense classifier that may automatically identify vague ontological elements as well as the Vagueness Ontology, a metaontology for annotating these elements with explicit descriptions of their vagueness.

Scottish Linked Data Interest Group Workshop. March, 2014

We are pleased to announce that Scottish Linked Data Interest Group Workshop. March, 2014 will be started on next Tuesday. Detailed information is as follows:

Time: 10:45-17:45, March 25th (Tuesday), 2014
Venue: Meston Building 203, University of Aberdeen

Topic: INFORM recent research results on understanding and exploiting Linked Data

Free and open to anyone! But registration needed. Go to http://goo.gl/ZNv4wa Or scan the QR code!


Boris Motik will give his 2013 Needham lecture here in Aberdeen at on 25th Feb, 2014

Title: Theory and Practice: The Yin and Yang of Intelligent Information Systems
[1] http://academy.bcs.org/events/2013-needham-lecture-dr-boris-motik

Abstract:
Theoretical and practical research complement each other, and their synergy is essential to developing advanced information systems. I will illustrate this using examples from my research in ontology languages, reasoning, and big data management. I will also discuss how we can foster interest in combining theory and practice in undergraduate and postgraduate education.

Short bio:
Dr Boris Motik completed his undergraduate and master’s degrees at the University of Zagreb. After a stint in the software development industry in the USA and Germany, in 2002 he embarked on his PhD studies at the University of Karlsruhe (today known as the Karlsruhe Institute of Technology) under supervision of Prof. Rudi Studer. He completed his studies in 2006 and then started his postdoc in the group of Prof. Ian Horrocks at the University of Manchester. Finally, he was appointed to a university lecturer post at the University of Oxford in 2007.

This talk is sponsored by K-Drive project