Fredrik Enoksson

Learning Object Annotation for Agricultural Learning Repositories

This paper introduces a Web-based tool that has been developed to facilitate learning object annotation in agricultural learning repositories with IEEE LOM-compliant metadata. More specifically, it presents how an application profile of the IEEE LOM standard has been developed for the description of learning objects on organic agriculture and agroecology. Then, it describes the design and prototype development of the Organic.Edunet repository tool: a Web-based for annotating learning objects on organic agriculture and agroecology, organizing them in using a portfolio-like user interface in a learning repository, and then federating this repository with a network of agricultural learning repositories.

Formalizing Dublin Core Application Profiles – Description Set Profiles and Graph Constraints

This paper describes a proposed formalization of the notion of Application Profiles as used in the Dublin Core community. The formalization, called Description Set Profiles, defines syntactical con ...

An RDF modification protocol, based on the needs of editing Tools

The use of RDF on the web is increasing, unfortunately the amount of editing tools suitable for end users without knowledge of technicalities of the language are not so common. We believe that a vi ...

Survey of professional competence in hematology in Europe

The purpose of specialty training in medicine is to supply the population with a sufficient number of adequately educated medical specialists. The majority of hematologic disorders often require immediate attention, investigation and treatment. The diversity of hematologic diagnoses and specialized

The activity of human metadata creation and the semantic web

This paper presents an explorative study of the human activity of creating metadata, done with the purpose of exploring the practices of this activity and how those can potentially impact the utility of the metadata as it is exposed on a level that enables semantic collaboration, like the semantic web. Previous research around human metadata creation seems to indicate that how the activity is carried out has a common core, but is unique in each situation on how it can be improved. The data for this study was gathered through interviews and analysed using activity theory. The analysis of the data gathered through the interviews indicates that the main objective of the activity is to enable discovery within a collection. Metadata is however created with a community of users in mind, which is sometimes reflected in metadata creation guidelines. These guidelines can in turn impact the discoverability across these communities as metadata is exposed on the semantic web.