In this paper, a framework for organizing and navigating online learning material with respect to the semantic context of documents is described. We propose the use of a fuzzy clustering algorithm and TopicMaps to discover and represent knowledge, respectively. We present a prototype implementation of the framework for semantic browsing of a test collection of

Topic Maps is becoming a recognized way of structuring and navigating knowledge. Since the digital world is moving towards a more and more service oriented reality, it is appropriate to focus on solutions for using topicmaps remotely as services. Two current cases for how this can be done is displayed here, both carried out by Cerpus AS, a small Norwegian company that works with topicmaps in th...

In this article we describe TM4L an environment for building, maintaining, and using standards-based, ontology-aware e-learning repositories. It is based on the idea that concept-driven access to learning material implemented as a Topic Map can bridge the gap between a learner and targeted knowledge. One of the driving goals of this work is to increase the reusability of available educational r...

Accurate 3D modellers of real-world scenes are important tools for visualizing or understanding outside environments. The paper considers a camera-based 3D reconstruction system where stereo cameras are mounted on a mobile platform, recording images while moving through the scene. Due to the limited viewing angle of the cameras, resulting reconstructions often result in missing (e.g. while occl...

The current paper presents a method for image watermarking based on chaotic sequences produced by different functions. The effect of embedding a chaotic watermark on an image is examined. Extensive experimental results for JPEG and filtering attacks on images watermarked by the different functions are presented together with a comparative study of them. The results show that efficient watermark...

In this paper we address the issue of expressing and using contextual factors in information seeking tasks. Following our perception of context for the IR domain, we discuss the contextual support provided in TM4L an environment for building and using topic-centered learning repositories. We propose an extension of the Topic Maps model with contexts and an approach for contextual retrieval that...

This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced by morphing a prototypical function located at its origin. The prototypical function and the space’s dimensions, which define morphological operations, are learned from a set of existing functions. New ones are generated by ave...

The ISO standard ISO/IEC 13250 Topic Maps offers a flexible and powerful technique for knowledge representation. The standard defines the general concepts and provides – with intention – just the necessary minimum of semantic. But knowledge representation requires more semantic – earlier publications identified “templates”, “type hierarchies”, “association properties”, “inferences”, and “constr...

Multinational corporations often face the challenge of finding subject-matter experts many continents away. Conventional metadata in a corporate directory provide a starting point, but the Topic Maps model provides a means of enhancing these directories by giving them the ability to merge in metadata from diverse sources, such as other external corporate directories, with PSIS [Published Subjec...

We use a recently found parametrization of the solutions of the inverse Frobenius-Perron problem within the class of complete unimodal maps to develop a Monte-Carlo approach for the construction of one-dimensional chaotic dynamical laws with given statistical properties, i.e. invariant density and autocorrelation function. A variety of different examples are presented to demonstrate the power o...