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Although the inspirational parts of science remain an art, large parts of of the supporting infrastructure that makes this art possible are more routine: thinks like experimental protocols, repeatability analysis, archiving of results or systematic reviewing. I will speculatively discuss how much of this might be supported by peer to peer automation using simple but non-speculative examples described in the LCC language used in the OpenKnowledge project.
In this talk I will present the OpenKnowledge framework and its current test applications in the case study scenarios (emergency response and bioinformatics). The framework, initially developed as a testing ground for the ideas emerging from the OpenKnowledge project, has grown into a working system that has recently seen the first release.
Today’s growing wealth of digital data in Europe is poorly exploited. Advances in storage, pervasive computing, digital sensors and instrumentation have led to massive growth in the volume of data collected and the number and complexity of data repositories. This growing wealth of data has an increasing potential to yield great benefits to citizens, science and business as it contains vital hidden knowledge.
Multimodal interaction is one of the taxonomies for Human-Computer Interaction (HCI). With the introduction of multimodal interactions, input/output information is becoming associated with the different human senses so that information can be presented in the most efficient and natural way. However, in mobile communication, a number of restrictions are still remnant. Mostly, these restrictions are caused by limitations of a mobile terminal’s user interfaces.
TaWeka (Taverna-to-Weka) is a Java application that connects data gathering in Taverna with data mining using Weka. The aim is to speed up the creation and comparison of biological classifiers, while simplifying sharing and reuse.
For several years workflows have been used as a means of orchestrating Web services (among other tasks). The increased availability nowadays of on-line data resources has created the need of an efficient way of accessing and integrating this data. workflows, orchestrating services that access these resources, seem like the natural way to accomplish said task but how does this relate to work in data integration? Significant work on data integration has been done over the last decades and although there is still progress to be made, the field is quite mature.