Trond Aalberg

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Digital libraries (DLs) are new and innovative information systems, under constant development and change, and therefore evaluation is of critical importance to ensure not only their correct evolution but also their acceptance by the user and application communities. The Evaluation activity of the DELOS Network of Excellence has performed a large-scale(More)
This paper presents a generic process and a tool for the conversion of MARC-based bibliographic records to the ER-based model of the Function Requirements for Bibliographic Records. The interpretation of a record, the construction of a new set of records and the final normalization needed, is decomposed into a series of steps that is implemented in the tool(More)
Programming exercises are an important part of an introductory course in programming. To improve the focus on encapsulation, requirements-based testing and give better feedback given to the students during their work, we have created an Eclipse-based plugin called JExercise. Based on a model of an exercise, it presents the structure of requirements to the(More)
Preface This thesis is submitted to the Norwegian University of Science and Technology (NTNU) for the doctoral degree " doctor scientiarum ". The work reported has been carried out during the time period 1998–2003 at the First of all I want to thank my supervisor, Professor Ingeborg Torvik Sølvberg, for providing me with a fine combination of freedom and(More)
In this paper, we present an approach to automatically link FRBR works identi ed in metadata to the corresponding entity in Linked Open Data resources. The main contribution is a basis for semantic enrichment and veri cation of works identi ed in existing metadata. Through experiments, we demonstrate that FRBR works can be identied in the LOD cloud, which(More)
This paper presents an approach to automatically extract entities and relationships from textual documents. The main goal is to populate a knowledge base that hosts this structured information about domain entities. The extracted entities and their expected relationships are verified using two evidence based techniques: classification and linking. This last(More)