- From: Jeff Pan <jeffpan.sw@googlemail.com>
- Date: Tue, 13 May 2014 18:07:41 +0100
- To: public-vocabs@w3.org
- Message-ID: <CAC9TgjjeUU6uPtvEKUv42LPj5D-m16pVFy=EcZa5D--wviwzPg@mail.gmail.com>
*** Apologies for cross posting. *** PhD Research Project - Possible Funding for a Highly Qualified Student Knowledge Capturing and Exploitation in Social Big Data University of Aberdeen The era of big data is creating a revolutionary opportunity for turning larger-sized datasets with high-velocity and diverse structures into real benefit across many domains, such as finance prediction, weather forecasting, disaster prevention, education and health care. Studies show that on average Web user spends two and a half hours daily on social media, and their activity reveals a great deal about what makes them tick. Social Networks become important sources of people “big data”, including demographic, location information, and data about people's interests, tastes, and habits. One of the biggest challenges in exploiting social big data is how to capture knowledge from the massive amount of data where conventional data management methods would be incapable of handling, and exploit the inherent knowledge effectively to those who will benefit from it. We will investigate how to: Develop innovative ideas to generate insightful queries over social big data, so as to facilitate better visualisation and decision formulation and How to develop inconsistency tolerant query answering approaches to social big data, where relevant knowledge, such as events and contexts, will be exploited to support customised applications of social big data. The outcome of the project will be evaluated in terms of both performance and quality with comparisons to state-of-the-art systems. For further details: http://qr.net/y2zk Jeff Z. Pan: http://homepages.abdn.ac.uk/jeff.z.pan/pages/ Chenghua Lin: http://www.abdn.ac.uk/ncs/people/profiles/chenghua.lin
Received on Tuesday, 13 May 2014 17:08:08 UTC