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We define personalisation as the set of capabilities that enables a user or an organisation to customise their working environment to suit their specific needs, preferences and circumstances. In the context of service discovery on the Grid, the demand for personalisation comes from individual users, who want their preferences to be taken into account during the search and selection of suitable ...

Process model matching refers to the task of creating correspondences among activities of different process models. This task is crucial whenever comparison and alignment of process models are called for. In recent years, there have been a few attempts to tackle process model matching. Yet, evaluating the obtained sets of correspondences reveals high variability in the results. Addressing this ...

The use of data mining techniques in healthcare has been noticing an increased relevance over the last few years, being applied with a variety of objectives, with the most common one being the automatic diagnostic process. In this process, data mining techniques have achieved interesting and successful results. However, when it comes to prognosis the same quality of results is not being achieve...

In this paper, we presented the annotation propagation tool we designed to be used in conjunction with the BRAT rapid annotation tool. We designed two experiments to annotate a corpus of 60 files, first not using our tool, second using our propagation tool. We evaluated the annotation time and the quality of annotations. We shown that using the annotation propagation tool reduces by 31.7% the t...

This paper presents an overview of the ImageCLEF 2014 evaluation lab. Since its first edition in 2003, ImageCLEF has become one of the key initiatives promoting the benchmark evaluation of algorithms for the annotation and retrieval of images in various domains, such as public and personal images, to data acquired by mobile robot platforms and medical archives. Over the years, by providing new ...

InsMT and InsMTL are automatic instance-based ontology alignment systems which (a) annotate instances as first step. In the second step, the InsMT system (b) applies different terminological matchers with a local filter on these annotated instances. Contrary to InsMT, the InsMTL system (b) matches the annotated instances not only at terminological level but also at linguistic level. For the fir...