Dear all, 

Positions are available for PhD students at the Knowledge Media Institute of 
the Open University, UK (see http://kmi.open.ac.uk/studentships/vacancies.php) 
in topics relevant to this mailing list. 

The deadline for applications is June 7, 2012.

The Knowledge Media Institute (KMi) is home to internationally recognised 
researchers in semantic technologies, educational multimedia, collaboration 
technologies, artificial intelligence, cognitive science, and human-computer 
interaction. KMi offers students an intellectually challenging environment with 
exceptional research and computer facilities. 

The following two PhD projects are in particular related to the use and 
development of knowledge technologies, ontologies, the Semantic Web and Linked 
Data. Please contact the relevant members of KMi for more information.

Web Data Mining
Contact: Mathieu d'Aquin (m.daq...@open.ac.uk)
http://kmi.open.ac.uk/studentships/web-data-mining.php

The Web is currently being flooded with data, from information reported in 
documents for human consumption to, more and more, open data available in 
structured and reusable forms (APIs, linked data, etc.) While a lot of efforts 
have been dedicated to the integration of data, using conceptual models such as 
ontologies, we are now facing the unprecedented need for support in 
"interpreting" data gathered from a large number of distributed, heterogeneous 
and un-controlled sources on the Web. 

In this PhD studentship, which is inter-disciplinary in nature, the aim is to 
investigate the combination of ontology-based, top-down approaches to data 
interpretation, with techniques originating from data mining to make sense of 
data through the bottom-up emergence of meaningful information patterns. 
Contributions are therefore expected in the areas of the Semantic Web, linked 
data, ontology engineering, data mining, data analytics and machine learning. 

Visual Exploration of Research Spaces
Contact: Enrico Motta (e.mo...@open.ac.uk)
http://kmi.open.ac.uk/studentships/visual-exploration-of-research-spaces.php

A PhD studentship is available at the Knowledge Media Institute of the Open 
University on the Visual Exploration of Research Spaces. This project is 
inherently interdisciplinary and the successful candidate will contribute to 
our established research in one or more areas, including human-computer 
interaction, semantic, statistical and natural language technologies. The main 
aim of this project is to investigate methods for improving the ability of 
users to explore the rich set of data which are now available about scholarly 
research, by developing i) new knowledge-based methods for aggregating data 
from both traditional (e.g., bibliographic servers) and other sources (e.g., 
blogs, tweets, conference web sites, etc), as well as ii) novel visual 
analytics solutions, able to support a seamless and flexible exploration of 
this rich set of aggregated types of data. In particular, we are interested in 
building on the work carried out on the KC-Viz system for ontology navigation 
and visualization - http://kmi.open.ac.uk/technologies/name/kc-viz, which 
relies on a novel abstraction mechanism based on the notion of key concepts, 
which denote the most important elements of an ontology and act as 'islands' to 
structure the exploration process and abstract from the large space of concepts 
in an ontology. Thus, we are interested in developing new methods that can 
employ this navigation metaphor in the context of research spaces, by 
identifying the appropriate notions and abstraction techniques, which apply in 
the research domain.


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