Progress Report 4

This report is a presentation. I presented it today for members of the research group and fellow thesis students at the KULeuven.

Scientific Profiling Presentation

It explains the evaluation approach for the framework. The term “affinity” is being introduced for the first time. Before terms like shared resources or common entitities and interests were used.

“Affinities” expresses much better the user-centric perspective and the fact that it is a subjective notion. It also means that it is not only linked to a certain person but is also time-sensitive, something that could be called a “user context”.

 

Progress Report 3

This the third report of my Master Thesis project in Computer Sciences at Graz University of Technology (TUGraz) and the Katholieke Universiteit Leuven (KULeuven). It combines the first two reports and adds a description of the research carried out in december and january. It gives a background overview to situate this report and it discusses the problem statement. An in depth view on the software architecture is given. Some noteworthy implementation details are revealed. Finally an updated project plan is motivated.

Master Thesis Progress Report 3

Related articles

• Progress Report 2 (laurensgoessemantic.wordpress.com)
• Progress Report 1 (laurensgoessemantic.wordpress.com)

Thinking about interlinking data contexts

Time to remind the project statement. To build a semantic profiling framework to support the connection of researchers. The main use case and application that the framework has to support is illustrated by what could be called: “the conference case”. Scientists and researchers are interested in very specific topics, this is best verified by the conferences they are attending. Another trend is that they all blog and tweet about these events. This creates huge opportunities for profiling. The attendees tweet about what they notice, what they remark as interesting for their own projects. What if we could connect these users using this information? We could call an application that does just that “Scientific Profiling“. This approach comes from the concept that the data produced in social networks can have true value if properly annotated and interlinked. A second requirement is to create a suitable context in which this information can get meaning. This is very important to identify which ontologies should be used.

Progress Report 1

I haven’t been posting here in more than a week. I was writing the first report for my thesis. It covers most of the things I have been blogging about in het last month.

This the first report of a Master Thesis project in Computer Sciences at Graz University of Technology (TUGraz) and the Katholieke Universiteit Leuven (KULeuven). It is an overview on the first four weeks of research. First it discusses the problem statement, then the literature study is carried out, followed by a preliminary view on the software architecture. Finally an updated project plan is motivated.

Please feel free to take a look into the report, but respect the copyright notice.

Master Thesis / Progress Report 1

Semantic profiling

I found an interesting document in which Dave McComb, President from Semantic Arts, explained out of his experience what we should retain about semantic profiling. He stated:

“Semantic profiling is a technique using semantic-based tools and ontologies in order to gain a deeper understanding of the information being stored and manipulated in an existing system. This approach leads to a more systematic and rigorous approach to the problem and creates a result that can be correlated with profiling efforts in other applications.”

There is no better way to express this topic. It means applied to this scientific profiling project: The semantic analysis of twitter users’ scientific profiles should help in a deeper understanding of their relevance to us. This also will create more correlation opportunities between Research 2.0 applications.