The ICE-Map Visualization was developed to graphically analyze the distribution of indexing results within a given Knowledge Organization System (KOS) hierarchy and allows the user to explore the document sets and the KOSs at the same time. In this paper, we demonstrate the use of the ICE-Map Visualization in combination with a simple automatic indexer to visualize the semantic overlap between ...

“Bias” is normally understood as a negatively loaded word, as something to be avoided or minimized, for example, in knowledge organization. Recently Feinberg (2007b), however, suggested that “If we cannot eliminate bias, then we should instead attempt to be more responsible about it and explicitly decide on and defend the perspectives represented in information systems”. This view is linked to ...

With the modern development and increasing competitiveness of air transport business processes, the management of knowledge is essential most especially for air transport managers. This controls compounded phases of the organization which begins with the fabrication of organisational strategy towards value creation and improving customers` experience. This study was to explore the review on the...

This paper deals with how we used a “knowledge organization system” management infrastructure to build software for researchers involved in text interpretation. Founded on a viewpoints-based model, this implementation highlighted the heterogeneity of analyses structures, whether it comes from authors diversity or from automation level. MOTS-CLÉS : Analyse qualitative, annotation, humanités numé...

As social tagging applications continuously gain in popularity, it becomes more and more accepted that models and tools for (re-)organizing tags are needed. Some first approaches are already practically implemented. Recently, activities to edit and organize tags have been described as "tag gardening". We discuss different ways to subsequently revise and reedit tags and thus introduce different ...

This poster paper introduces KOSO, an ontology to structure expert knowledge about different types of knowledge organization systems (KOS). It serves as a metadata vocabulary for describing ontologies and other KOS and helps to capture cross-concordances and interrelations between them.1

Traditional subject indexing and classification are considered infeasible in many digital collections. Automated means and social tagging are often suggested as the two possible solutions. Both, however, have disadvantages and, depending on the purpose of use or context, require additional manual input. This study investigates ways of enhancing social tagging via knowledge organization systems,...