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ECAI
1998
Springer
13 years 11 months ago
What You See Is What You Meant: direct knowledge editing with natural language feedback
Many kinds of knowledge-based system would be easier to develop and maintain if domain experts (as opposed to knowledge engineers) were in a position to define and edit the knowled...
Richard Power, Donia Scott, Roger Evans
FASE
2008
Springer
13 years 9 months ago
A Formal Framework for Developing Adaptable Service-Based Applications
Web services are open, interoperable, easy to integrate and reuse, and are extensively used in many application domains. Research and best practices have produced excellent support...
Leen Lambers, Leonardo Mariani, Hartmut Ehrig, Mau...
PG
2002
IEEE
14 years 10 days ago
Augmenting Computer Graphics with Haptics for the Visualization of Vessel Networks
Current visualization methods of volume angiograms are limited in their ability to display vessel connectivity and depth information readily available in the data set. In this wor...
Dingrong Yi, Vincent Hayward
CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
VL
1999
IEEE
136views Visual Languages» more  VL 1999»
13 years 11 months ago
Scaling up a "What You See Is What You Test" Methodology to Spreadsheet Grids
Although there has been considerable research into ways to design visual programming environments to improve the processes of creating new programs and of understanding existing o...
Margaret M. Burnett, Andrei Sheretov, Gregg Rother...