Achieving application requirements
Distributed systems
Reasoning about naming systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
Constraint satisfaction and debugging for interactive user interfaces
Constraint satisfaction and debugging for interactive user interfaces
A study on video browsing strategies
A study on video browsing strategies
The cubic mouse: a new device for three-dimensional input
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
A widget framework for augmented interaction in SCAPE
Proceedings of the 16th annual ACM symposium on User interface software and technology
Jena: implementing the semantic web recommendations
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions
Journal of Systems and Software - Special issue: Quality software
Modeling and Simulation Design
Modeling and Simulation Design
The Web Economy: Goods, Users, Models, and Policies
The Web Economy: Goods, Users, Models, and Policies
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Governments around the globe are opening up public spending data in order to promote transparency and citizen awareness. However, data openness by itself is not enough to guarantee that the data is consumed efficiently and in meaningful ways. In this work public spending data from seven governments, both local and national, with total value almost 1,5 trillion euro, are processed, cleansed and converted to Linked Open Data, following best practices. Namely, the cases of Greece, the UK, the US federal government, Australia, the city of Chicago and the states of Alaska and Massachusetts are considered. Furthermore, the resulting Linked Data are interlinked with external resources and made accessible on a public SPARQL endpoint. A web portal application with several functionalities is deployed in order to make the data mashups understandable and easily consumable.