KAPTUR: technical analysis report

Led by the Visual Arts Data Service (VADS) and funded by the JISC Managing Research Data programme (2011-13) KAPTUR will discover, create and pilot a sectoral model of best practice in the management of research data in the visual arts in collaboration with four institutional partners: Glasgow School of Art; Goldsmiths, University of London; University for the Creative Arts; and University of the Arts London. This report is framed around the research question: which technical system is most suitable for managing visual arts research data? The first stage involved a literature review including information gathered through attendance at meetings and events, and Internet research, as well as information on projects from the previous round of JISCMRD funding (2009-11). During February and March 2012, the Technical Manager carried out interviews with the four KAPTUR Project Officers and also met with IT staff at each institution. This led to the creation of a user requirement document (Appendix A), which was then circulated to the project team for additional comments and feedback. The Technical Manager selected 17 systems to compare with the user requirement document (Appendix B). Five of the systems had similar scores so these were short-listed. The Technical Manager created an online form into which the Project Officers entered priority scores for each of the user requirements in order to calculate a more accurate score for each of the five short-listed systems (Appendix C) and this resulted in the choice of EPrints as the software for the KAPTUR project

Optimiser-based recommendations of physical database design

Die Komplexitiät aktueller relationaler Datenbank Management Systeme stellt eine immer größere Herausforderung an Datenbankadministratoren dar. Jede Laufzeitumgebung benötigt eine für sie angepasste Konfiguration, um performant zu operieren. Selbst innerhalb einer Umgebung können sich die Anforderungen im Laufe der Zeit ändern und eine erneute Anpassung erfordern. Dies zwingt den DBA sich kontinuierlich und intensiv mit dem System zu beschäftigen. Das Ziel eines modernen DBMS muss die Unterstützung des DBAs sein, um seine Arbeit mit automatisierten Prozessen und Handlungsabläufen zu erleichtern und ihm so stets schnelle und prezise Entscheidungen zu ermöglichen. Diese Arbeit zielt auf die Beschreibung und teilweise Umsetzung eines unterstützenden Systems, das die aktuelle DBMS Konfiguration zusammen mit dem aktuellen Anfrageverhalten analysiert und dem DBA Vorschläge unterbreitet, wie sich die Performanz und Effizienz des Systems verbessern lässt.Today's relational database management systems are made up of many complex components and managing these presents a growing challenge for database administrators. Every runtime environment can require different configurations to deliver adequate performance. Even withinthe same environment demands can shift over time when workloads change. Keeping up with these demands requires continuous effort from the DBA. The goal of a modern DBMS must be to support the DBA in his work with automated processes and workflows that allow him tomake quick and precise decisions. This work aims at describing and partially implementing asupportive system that will analyse the current DBMS configuration together with its workload to give recommendations on how to improve its performance and efficiency.Ilmenau, Techn. Univ., Diplomarbeit, 200

Access control models: Authorization mechanisms for database management systems

None provided

Process algebra approach to parallel DBMS performance modelling

Abstract unavailable please refer to PD

KARL: A Knowledge-Assisted Retrieval Language

Data classification and storage are tasks typically performed by application specialists. In contrast, information users are primarily non-computer specialists who use information in their decision-making and other activities. Interaction efficiency between such users and the computer is often reduced by machine requirements and resulting user reluctance to use the system. This thesis examines the problems associated with information retrieval for non-computer specialist users, and proposes a method for communicating in restricted English that uses knowledge of the entities involved, relationships between entities, and basic English language syntax and semantics to translate the user requests into formal queries. The proposed method includes an intelligent dictionary, syntax and semantic verifiers, and a formal query generator. In addition, the proposed system has a learning capability that can improve portability and performance. With the increasing demand for efficient human-machine communication, the significance of this thesis becomes apparent. As human resources become more valuable, software systems that will assist in improving the human-machine interface will be needed and research addressing new solutions will be of utmost importance. This thesis presents an initial design and implementation as a foundation for further research and development into the emerging field of natural language database query systems