The ongoing goal of the Semantic Web is to allow computers to analyse and manipulate information in more sophisticated ways through the use of appropriate knowledge representation and reasoning mechanisms. Our research covers fundamental issues arising in logics and theories of cognition as well problems arising in practical systems. We seek to improve human-computer interaction through the development and evaluation of appropriate knowledge representation and reasoning techniques for specific contexts. Current research includes investigation of logics for reasoning with spatial and temporal information, use of ontologies for providing users with more effective ways of searching for information, representing and using knowledge about learners and learning objects, and representing and querying community knowledge.
Meaningful mining and visualisation of data from RSS feeds
Friday, 20 August 2010
First supervisor
Prof Mark Levene
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Second
supervisor
Dr Dell Zhang
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Research
details
Work started in late 2008 and is expected to
finish in late 2011 / early 2012.
Keywords
social data
RSS feeds
visualisations
dataset
social networking
Key themes
The first stage of my
PhD work began with the investigation of on-line data-centric social
networking. This work saw the development of myDataSharer (myDS) which aimed to
unite data and community into an application which might have
potential real-world uses by
allowing users to upload and visualise various forms of data. A usage
experiment of myDS's alpha version
was successfully completed in late 2009. From the results of this experiment,
my work is now concentrated on meaningfully mining and visualising data from
raw RSS feeds. The next stage of my work will be a Web 2.0 application
dedicated to this end to be released onto the internet late in 2010. My thesis
in 2011 will then document the results of this work within the context of
social networking and social data analysis.
Results to date
In late 2009 for the
Search Engines and Web Navigation module of the Birkbeck DCSIS MSc courses,
under Prof Levene's supervision, myDS was used as the platform for an assessed
coursework experiment by 35 students to mine and visualise meaningful data from
RSS feeds. The results were successful with some 173 datasets created along
with an equal number of visualisations. This has provided me with a great deal
of mined data and usage metadata for analysis and the aim is to publish these
results later in 2010.
Why the Knowledge Lab?
Birkbeck DCSIS and IOE
staff at the London Knowledge Lab have been able to advise and help me with
many specific aspects of my work and PhD generally over the last two years
which has been of benefit. Also, LKL is very conveniently placed in central
London near to Birkbeck, to allow for presentations or demonstration which I
have been involved in or for supervising student project.
myDataSharer's concept.
Key publications (if any) here
Mining and visualising meaningful data from RSS
feeds: a case study, Martin
O'Shea and Mark Levene, 2010. (To be published
during 2010).
