As wireless sensor networks mature, it becomes clear that the raw data collected by this technology can only be used in a meaningful way if it can be analyzed automatically. Describing the behavior of the data with a model, and then looking at the parameters of the model, or detecting differences between the model and the real data, is how experimental data is typically used in other fields. Th...

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on human decision-making. We show that the use of Natural Language Generation (NLG) improves decision-making under uncertainty, compared to state-of-the...

Abstracr-Test data generation in program testing is the process of identifying a set of test data which satisfies given testing criterion. Most of the existing test data generators 161, [It], [lo], [16], [30] use symbolic evaluation to derive test data. However, in practical programs this technique frequently requires complex algebraic manipulations, especially in the presence of arrays. In thi...

We describe a method and a corresponding tool for grammarbased test-data generation (GBTG). The basic generation principle is to enumerate test data based on grammatical choices. However, generation is broken down into two phases to deal with context-sensitive properties in an efficient and convenient manner. The first phase enumerates test data (i.e., parse trees) with placeholders. The second...

Mediators are a critical component of any data warehouse; they transform data from source formats to the warehouse representation while resolving semantic and syntactic conflicts. The close relationship between mediators and databases requires a mediator to be updated whenever an associated schema is modified. Failure to quickly perform these updates significantly reduces the reliability of the...

According to Koestler, the notion of a bisociation denotes a connection between pieces of information from habitually separated domains or categories. In this paper, we consider a methodology to find such bisociations using a network representation of knowledge, which is called a BisoNet, because it promises to contain bisociations. In a first step, we consider how to create BisoNets from sever...