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KMi Seminars
End-user software engineering
This event took place on Tuesday 28 June 2005 at 13:00

 
Professor Margaret Burnett Oregon State University

In this talk, we will consider what happens when we add to end-user programming environments consideration of the software lifecycle beyond the "coding" phase. Considering other phases seems necessary, because there is ample evidence that end users' programs are filled with errors.

The EUSES Consortium is a new NSF consortium of researchers who are working on this problem. As part of this consortium, several of my colleagues and I have been working on a holistic approach to software engineering for end users. It incorporates support for testing, fault localization, and assertions, in an incremental manner integrated in a fine-grained way with the environment. The software engineering knowledge is in the system, and the user is not expected to have expertise in software engineering. In this talk, I will focus primarily on how testing and assertions are supported as part of this approach, including our "Surprise-Explain-Reward" strategy for motivating end users to employ these software engineering devices.

 
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.