Abstract The development of teacher professionalism is contextualised in timely and spatial configurations. Historically educational policy reforms have influenced the teaching profession. In this chapter we discuss how primary secondary education construction profession Norway. We limit our examination policy—practice nexus starting from end nineteenth century. analysing policies politics that...

Image segmentation is an important processing step in many image understanding algorithms and practical vision systems. Various image segmentation algorithms have been proposed and most of them claim their superiority over others. But in fact, no general acceptance has been gained of the goodness of these algorithms. In this paper, we present a subjective method to assess the quality of image s...

The availability of intense microbeam macromolecular crystallography beamlines at third-generation synchrotron sources has enabled data collection and structure solution from microcrystals of <10 µm in size. The increased likelihood of severe radiation damage where microcrystals or particularly sensitive crystals are used forces crystallographers to acquire large numbers of data sets from many ...

The paper is partly based on research done for the EU-funded (IST2004-2.4.9) project ALIS (Automated Legal Intelligent System) on Intellectual Property Law. We describe the development process of the ALIS Intellectual Property ontology from both a legal and a technical perspective. We discuss the scope and the features of this IP ontology, the lessons learned, and the problems solved. This is d...

Research on ontology merging and mapping is one of the most important issues in the Semantic Web because ontologies are developed and used by various sites and organizations respectively. Electronic commerce is the area that require ontology mapping on product comparison over different product classification taxonomies of various shopping malls. But, strict mapping strategy may lead a customer’...

This paper presents a knowledge-sharing framework for achieving effective knowledge reuse within industrial organisations. This knowledge re-use paradigm goes beyond traditional engineering re-use which focuses solely on re-applying tangible resources such as hardware components, software objects or information repositories in new situations. The Knowledge-Sharing Management (KSM) framework des...

We present an interactive version of an evidencedriven state-merging (EDSM) algorithm for learning variants of finite state automata. Learning these automata often amounts to recovering or reverse engineering the model generating the data despite noisy, incomplete, or imperfectly sampled data sources rather than optimizing a purely numeric target function. Domain expertise and human knowledge a...