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KMi Seminars
Structure Analysis of Large Software Systems
This event took place on Tuesday 25 April 2006 at 15:00

 
Dr Dirk Beyer Ecole Polytechnique F?d?rale de Lausanne (EPFL)

We present two techniques for structure analysis that scale to large software systems. In the first part, we present CrocoPat, a tool for relational programming. Its language is illustrated on small examples, and some applications to software analysis are explained. The method can be used to formulate graph analysis problems like the detection of instances of design patterns, or the computation of the transitive closure of large relations, in a simple language based on predicate logic. The second part of the talk will emphasis on co-change visualization, a technique for extracting the subsystem structure of a system from the CVS repository. CCVisu is a tool for co-change visualization. It extracts a high-level model of the change history of the software system and produces a visualization that reveals clusters of the system. The layout ensures that artifacts that were often changed together are placed at close positions.

Download PowerPoint presentation (2Mb ZIP file)

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.