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  • 1.
    de la Rosa, Josep Lluís
    et al.
    EASY Innovation Center University of Girona.
    del Acebo, Esteve
    EASY Innovation Center University of Girona.
    Trias, Albert
    EASY Innovation Center University of Girona.
    Aciar, Silvana
    EASY Innovation Center University of Girona.
    Quisbert, Hugo
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Crew intelligence systems for digital objects preservation2009In: Proceedings of the Symposium 2nd Swarm Intelligence Algorithms and Applications Symposium (SIAAS-09): A symposium at the AISB 2009 Convention (6-9 April 2009) Heriot-Watt University, Edinburgh, Scotland, Society for the Study of Artificial Intelligence and the Simulation of Behaviour , 2009, p. 23-30Conference paper (Refereed)
    Abstract [en]

    Crew Intelligence Systems is a family of very simple algorithms for different classes of complex optimization problems in static and dynamic environments by means of reactive multiagent systems. Crew Intelligence systems are loosely inspired from the behavior shown by a staff of bartenders when serving drinks to customers in a bar or pub. In this paper we improve them by letting the bartenders also call (shout) for help, and we adapt them to Digital Objects Preservation, where agents explore file systems looking for victims, digitals objects that need change of format, or any other transformation to be preserved. When they find someone they “shout” so that agent mates can hear it. The louder the shout, the most important or urgent the finding. Louder shouts can also refer to closeness. We perform several experiments to show that this system works very scalably, showing that heterogeneous teams of agents outperform homogeneous ones over a wide range of task complexity. Finally, a properly designed combination of heterogeneous agents is more scalable when confronted with uncertain maps of digital objects to be preserved.

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  • 2.
    De la Rosa, Josep Luis
    et al.
    EASY Innovation Center; University of Girona.
    Bengtsson, Johan E.
    InterNIT.
    Ruusalepp, Raivo
    Estonian Business Archives.
    Hägerfors, Ann
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Quisbert, Hugo
    Luleå University of Technology.
    Using Agents for Long-Term Digital Reservation: The PROTAGE Project2009In: International Symposium on Distributed Computing and Artificial Intelligence 2008: DCAI´08, Encyclopedia of Global Archaeology/Springer Verlag, 2009, p. 118-122Conference paper (Refereed)
    Abstract [en]

    This is a summary of the PROTAGE project and a proposal for creation of agents useful for automation of the vast amount of human interactions and work otherwise needed in digital preservation. The potential of the technology is illustrated with an agent for appraisal of an individual's personal files.

  • 3.
    Hägerfors, Ann
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Quisbert, Hugo
    Nilsson, Jörgen
    Agent technology supporting digital preservation2009Conference paper (Refereed)
    Abstract [en]

    The EU FP7 PROTAGE project opens up a novel approach to digital preservation by utilizing agent ecosystems for automation of preservation processes. The resulting preservation tools have the potential to enable integrated automated digital preservation operations in digital archives and libraries of different scales throughout Europe. It could also assist individuals in preserving their personal digital collections. The PROTAGE multi-agent system, a set of integrated tools, is developed as a prototype system in several iterations. The first prototype contains functionality for pre-ingest, i.e. the preparation of information packages for transfer from active usage to a digital archive.

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  • 4.
    Quisbert, Hugo
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. ArkivIT, Stockholm.
    A bottom-up approach to carry out pre-studies for the implementation of electronic archives: a case study from a Swedish organisation2017In: Archiving 2017: Final Program and Proceedings, Society for Imaging Science and Technology , 2017, p. 44-48Conference paper (Refereed)
    Abstract [en]

    n this paper a bottom-up approach to carry out preliminary studies for the implementation of electronic archives is presented. Pre-studies are a standard procedure ahead of putting forward a project for the implementation of electronic archives. The top-down method, fundament for presented approach relies on the activities of Problem Analysis, Goal Analysis, Business Analysis, Change Needs Analysis and Determination of Change Actions (iteratively and in that order). The bottom up approach proposes change, positioning Goal Analysis after Business Analysis due to the way of stipulating goals from this approach become stronger since it put forward employees goals as the driving forces for change. The bottom-up approach more clearly discloses complexity and to some extent competing and disperse goals within studied organisation.

  • 5.
    Quisbert, Hugo
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    A framework for the development of archival information systems2006Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    In this thesis a framework for the development of an Archival Information Systems are proposed. IT community and long-term digital preservation research has not addressed the development of digital archival tools. It community addresses Archives and digital archiving almost as a storage place aimed for backup services. Long-term digital preservation research has put efforts in metadata research, and in the use of different preservation techniques in order to preserve digitally stored information. Archival Information Systems is and its development is a natural part of the field of Long-term Digital Preservation. Archival Information Systems are aimed to receive maintain, support digital preservation issues and give access to digitally stored information. This digitally stored information consists in different kind of documents or records physically manifested in computer files, databases, etc. Archival Information Systems are a special kind of Information Systems. As every specialized kind of Information System, Archival Information Systems development must be preceded by a specialized way of thinking. This thesis proposes a specialized way of thinking, a framework, for the development of Archival Information Systems. The proposed framework is based on The Records Continuum Model and The OAIS Reference Model as major fundaments. The framework consists on six levels of substitutionality. The lowest level, the software, is prone to high substitutionality. The highest levels are constituted by The OAIS Reference Model and The Records Continuum as the highest. The framework is a theoretical approach to Archival Information Systems Development and explained in terms of epistemological and ontological for it. Some important epistemological and ontological principles for Archival Information Systems are: Dealing with Archival Information System is dealing with making digital recorded information accessible. Records are logical rather than physical entities. Records have continuing value by means of information exchangeability. Forward Compatibility is achieved by means of open attitude and open standards. Accessibility and long-term preservation is stretching the longevity of records across time-space. This framework had been tested theoretically based on the expertise from Information Systems developers working in archival organizations. This evaluation shows strengths and weaknesses in the framework and the need of further development of it, and calls for putting forward efforts in deeper research of the framework, Archival Information Systems and long-term digital preservation issues.

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  • 6.
    Quisbert, Hugo
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Evaluation of a digital repository2008In: Archiving 2008: June 24 - 27, 2008, Bern, Switzerland ; final program and proceedings ; [Fifth Annual Archiving Conference], Springfield, Va: Society fo Imaginig Science , 2008, p. 120-124Conference paper (Refereed)
    Abstract [en]

    This paper is the result of an evaluation of an organisation as a Trusted Repository. The evaluation was carried out in November 2007, using parts of the existing guidelines concerning the certification of Trusted Repositories. The contributions of are 1) findings on organisation concerning its commitment towards its stakeholders and archival holdings and 2) findings about repository evaluation. The findings show that a highly committed and competent organisation is reliable as a trusted repository and there is a need of continuity evaluating digital repositories since an evaluation does not show the reliability of an organisation as a trusted repository in the long-term.

  • 7.
    Quisbert, Hugo
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Evaluation of the archival information systems thinking framework2006In: Constructing and Sharing Memory: Community Informatics, Identity and Empowerment; Selected Papers from the 3rd Prato International Community Informatics Conference; Community Informatics Research Network 9- 11 October 2006 / [ed] Larry Stillman; Graeme Johanson, Newcastle: Cambridge Scholars Publishing, 2006, p. 223-235Conference paper (Refereed)
    Abstract [en]

    Archives are an essential part of our societal memory. The use of Information Technology (IT) in archival context has pointed out the need of preserving digital information. There is a need of methods and techniques for preservation activities and the development of supporting tools. Archival Information Systems are a special kind of information systems. The development of Archival Information Systems has to be non-ad hoc implementation based upon archival and long-term preservation thinking. The paper A Foundation for Archival Information Systems Development (Quisbert, Hagerfors, 2006) proposes a thinking framework based upon the Records Continuum Model and the OAIS Reference Model. In this paper, a Computational Independent Model for an Archive Information System (AIS), based upon mentioned framework, is proposed. The Model Driven Architecture, proposed by the Object Management Group, has been chosen as an example for the creation of this model.The Centre for Long-term Digital Preservation (CLDP) connected to the Luleå University of Technology (LTU) in Sweden, is an R&D division working with digital preservation issues. The intention of the proposed model is to be the fundament for developing a prototype for an AIS, at this centre. Empirical contribution to this model has been given by archivists, by experimental student projects at the LTU, and systems developers at the CLDP. Later, a complete software implementation base upon the proposed framework should support long-term preservation of digital information by reflecting important characteristics of the Continuum Model and the OAIS Reference Model.

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  • 8.
    Quisbert, Hugo
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    On long-term digital preservation information systems: a framework and characteristics for development2008Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    There is a need for the long-term preservation of digitally recorded information, for historical, juridical, democratic and recollective purposes. The digital preservation realm is facing two major problems: hardware and software obsolescence and the rapid growth of information. The problems jeopardise the possibilities for long-term retention and accessibility to digitally recorded information. These problems cannot be solved, but alleviated by managing digital preservation in a long-term perspective. For this to be achieved, special competence is needed. For this reason, Long-term Digital Preservation has emerged as a new field of research and practice, addressing new models, methods and tools. So far, Digital Preservation systems have not been elaborated from an Information Systems perspective. In this thesis, a framework for Long-term Digital Preservation Information Systems (LDP-IS) and some characteristics of such systems and their development are put forth. The research question posed is: What might constitute a framework for realising systems for long-term digital preservation? Subordinated questions are: What are feasible components of such a framework? and What might characterise systems based on such a framework? The research approach is exploratory since this is a new field of investigation. The results comprise an integrated trinity of preservation systems: the framework itself, the concept of LDP-IS and several characteristics of LPD- IS. The characteristics are intended as a basis for requirement specifications in the development of LDP-IS. The framework is a construction emerging from Information Systems theory in combination with contemporary archival theory. The framework is formed as a ladder of decreasing substitutionality. The Information Continuum Model is at the foundation and least substitutional level. The Records Continuum Model constitutes a theoretical framework at the next level. At the level below that, the OAIS Reference Model is placed as a conceptual framework; it is used for talking about components of the preservation system. At the four lowest levels is Model Driven Architecture (MDA), which contains components prone to substitution. The concept of Long-term Digital Preservation Information Systems, LDP-IS, is a general overview of information systems used for preservation of digitally recorded information in the long term. LDP-IS, due to its Information Continuum foundation that kernels the continuing value of information, ensures that social systems will be reproduced as memory tracks of human activities in the future. The characteristics of LDP-IS are divided into meta-principles, general principles and desirable features. Meta-principles can be characterised as top wishes within the preservation community. The meta-principles uncovered in the research are automation (of activities performed by hand), ruling (setting up preservation policies) and preservation planning (a key concept in preservation). General characteristics found are documentation (capturing information about the material and the processes), linkability (building navigable structures across the material), substitutionality (refining the system by replacing system processes and modules), and diversification (creating different ways of using information). One desirable feature was found: learning (introducing systemic intelligence into the system)

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  • 9.
    Quisbert, Hugo
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hägerfors, Ann
    Foundations for archival information systems development2006In: Integrating Visions of Technology: Proceedings of the 12th Annual Working Conference of CPTS / [ed] Andrew Basden; Anita Mirijamdotter; Sytse Strijbos, CPTS , 2006, p. 10-26Conference paper (Other academic)
  • 10.
    Quisbert, Hugo
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Korenkova, Margarita
    Hägerfors, Ann
    Towards a definition of digital information preservation object2009In: Metadata and Semantics / [ed] Miguel-Angel Sicilia; Miltiadis D. Lytras, New York: Encyclopedia of Global Archaeology/Springer Verlag, 2009, p. 11-22Conference paper (Refereed)
  • 11.
    Runardotter, Mari
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Quisbert, Hugo
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Nilsson, Jörgen
    Hägerfors, Ann
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Mirijamdotter, Anita
    The information life cycle: issues in long-term digital preservation2006In: Arkiv, samhälle och forskning, ISSN 0349-0505, no 1, p. 17-29Article in journal (Refereed)
    Abstract [en]

    In this paper a new view of the life cycle of information is described. Information never dies. The constituentes for information are: the context in which information is born and flows, internal attributes which enrich and gives better understanding of information, and the tools used for managing ditributing, dissemination, access and availability of information.

  • 12.
    Runardotter, Mari
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Quisbert, Hugo
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Nilsson, Jörgen
    Hägerfors, Ann
    Mirijamdotter, Anita
    The information life cycle: issues in long-term digital preservation2005In: IRIS 28: 28th Information Systems Research Seminars in Scandinavia, 2005Conference paper (Refereed)
    Abstract [en]

    In this paper a new view of the life cycle of information is described. Information never dies. The constituentes for information are: the context in which information is born and flows, internal attributes which enrich and gives better understanding of information, and the tools used for managing distribution, dissemination, access and availability of information.

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    fulltext
1 - 12 of 12
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