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  • 1.
    Johansson, Monika
    et al.
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Ruhtenberg, Tobias
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    MIL: A Collaborative Project Between Teachers and Librarians2019In: Understanding Media and Information Literacy (MIL) in the Digital Age: a Ouestion of Democracy / [ed] Ulla Carlsson, Göteborg: University of Gothenburg, 2019, p. 145-148Chapter in book (Other academic)
    Abstract [en]

    In this presentation, we share our experiences of a course in Media and Information Literacy (MIL) at the University of Borås; it is a professional development course for teachers and school librarians. The course is completely online and is the only one in MIL in higher education in Sweden. Collaborations at different levels are important for the course's implementation, and collaboration between teachers and school librarians enriches the participants' development of teaching within MIL. Several examples of the practical projects carried out as examination tasks are presented.

  • 2.
    Kontopoulos, E.
    et al.
    CERTH, Thessaloniki, Greece.
    Darányi, Sándor
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Wittek, Peter
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Konstantinidis, K.
    CERTH, Thessaloniki, Greece.
    Riga, M.
    CERTH, Thessaloniki, Greece.
    Mitzias, P.
    CERTH, Thessaloniki, Greece.
    Stavropoulos, T.
    CERTH, Thessaloniki, Greece.
    Andreadis, S.
    CERTH, Thessaloniki, Greece.
    Maronidis, A.
    CERTH, Thessaloniki, Greece.
    Karakostas, A.
    CERTH, Thessaloniki, Greece.
    Tachos, S.
    CERTH, Thessaloniki, Greece.
    Kaltsa, V.
    CERTH, Thessaloniki, Greece.
    Tsagiopoulu, M.
    CERTH, Thessaloniki, Greece.
    Avgerinakis, K.
    CERTH, Thessaloniki, Greece.
    Deliverable 4.5: Context-aware Content Interpretation2016Report (Refereed)
    Abstract [en]

    The current deliverable summarises the work conducted within task T4.5 of WP4, presenting our proposed approaches for contextualised content interpretation, aimed at gaining insightful contextualised views on content semantics. This is achieved through the adoption of appropriate context-aware semantic models developed within the project, and via enriching the semantic descriptions with background knowledge, deriving thus higher level contextualised content interpretations that are closer to human perception and appraisal needs. More specifically, the main contributions of the deliverable are the following: A theoretical framework using physics as a metaphor to develop different models of evolving semantic content. A set of proof-of-concept models for semantic drifts due to field dynamics, introducing two methods to identify quantum-like (QL) patterns in evolving information searching behaviour, and a QL model akin to particle-wave duality for semantic content classification. Integration of two specific tools, Somoclu for drift detection and Ncpol2spda for entanglement detection. An “energetic” hypothesis accounting for contextualized evolving semantic structures over time. A proposed semantic interpretation framework, integrating (a) an ontological inference scheme based on Description Logics (DL), (b) a rule-based reasoning layer built on SPARQL Inference Notation (SPIN), (c) an uncertainty management framework based on non-monotonic logics. A novel scheme for contextualized reasoning on semantic drift, based on LRM dependencies and OWL’s punning mechanism. An implementation of SPIN rules for policy and ecosystem change management, with the adoption of LRM preconditions and impacts. Specific use case scenarios demonstrate the context under development and the efficiency of the approach. Respective open-source implementations and experimental results that validate all the above.All these contributions are tightly interlinked with the other PERICLES work packages: WP2 supplies the use cases and sample datasets for validating our proposed approaches, WP3 provides the models (LRM and Digital Ecosystem models) that form the basis for our semantic representations of content and context, WP5 provides the practical application of the technologies developed to preservation processes, while the tools and algorithms presented in this deliverable can be deployed in combination with test scenarios, which will be part of the WP6 test beds.

  • 3.
    Kontopoulos, Efstratios
    et al.
    CERTH, Thessaloniki, Greece.
    Riga, Marina
    CERTH, Thessaloniki, Greece.
    Mitzias, P.
    CERTH, Thessaloniki, Greece.
    Andreadis, S.
    CERTH, Thessaloniki, Greece.
    Stavropoulos, T.
    CERTH, Thessaloniki, Greece.
    Konstantinidis, K.
    CERTH, Thessaloniki, Greece.
    Maronidis, A.
    CERTH, Thessaloniki, Greece.
    Karakostas, A.
    CERTH, Thessaloniki, Greece.
    Tachos, S.
    CERTH, Thessaloniki, Greece.
    Kaltsa, V.
    CERTH, Thessaloniki, Greece.
    Tsagiopoulu, M.
    CERTH, Thessaloniki, Greece.
    Darányi, Sándor
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Wittek, Peter
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Gill, A.
    King's College London, UK.
    Tonkin, E. L.
    King's College London, UK.
    Waddington, S.
    King's College London, UK.
    Sauter, Ch.
    King's College London, UK.
    Corubolo, F.
    University of Liverpool, UK.
    PERICLES Deliverable 4.4: Modelling Contextualised Semantics2016Report (Refereed)
    Abstract [en]

    The current deliverable summarises the work conducted within task T4.4 of WP4, presenting our proposed models for semantically representing digital content and its respective context – the latter refers to any information coming from the environment of the digital object (DO) that offers a better insight into the object’s status, its  interrelationships with other content items and information about the object’s context of use. Within PERICLES, we refer to the content semantics enriched with the contextual perspective as “contextualised semantics”. The deliverable presents two complementary modelling approaches, based respectively on (a) ontologies and logics, and, (b) multivariate statistics.

  • 4.
    Maronidis, A.
    et al.
    CERTH, Thessaloniki, Greece.
    Chatzilari, E.
    CERTH, Thessaloniki, Greece.
    Kontopoulos, E.
    CERTH, Thessaloniki, Greece.
    Nikopoulos, S.
    CERTH, Thessaloniki, Greece.
    Riga, M.
    CERTH, Thessaloniki, Greece.
    Mitzias, P.
    CERTH, Thessaloniki, Greece.
    Darányi, Sándor
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Wittek, Peter
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Gill, A.
    King's College London, UK.
    Tonkin, E.L.
    King's College London, UK.
    De Weerdt, D.
    SpaceApps, Belgium.
    Corubolo, F.
    University of Liverpool, UK.
    Waddington, S.
    King's College London, UK.
    Sauter, Ch.
    King's College London, UK.
    PERICLES Deliverable 4.3: Content Semantics and Use Context Analysis Techniques2016Report (Refereed)
    Abstract [en]

    The current deliverable summarises the work conducted within task T4.3 of WP4, focusing on the extraction and the subsequent analysis of semantic information from digital content, which is imperative for its preservability. More specifically, the deliverable defines content semantic information from a visual and textual perspective, explains how this information can be exploited in long-term digital preservation and proposes novel approaches for extracting this information in a scalable manner. Additionally, the deliverable discusses novel techniques for retrieving and analysing the context of use of digital objects. Although this topic has not been extensively studied by existing literature, we believe use context is vital in augmenting the semantic information and maintaining the usability and preservability of the digital objects, as well as their ability to be accurately interpreted as initially intended.

  • 5.
    Waddington, Simon
    et al.
    King's College London, UK.
    Hedges, Mark
    King's College London, UK.
    Riga, Marina
    CERTH, Thessaloniki, Greece.
    Mitzias, Panagiotis
    CERTH, Thessaloniki, Greece.
    Kontopoulos, Efstratios
    CERTH, Thessaloniki, Greece.
    Kompatsiaris, Ioannis
    CERTH, Thessaloniki, Greece.
    Vion-Dury, Jean-Yves
    XRCE, Grenoble, France.
    Lagos, Nikolaos
    XRCE, Grenoble, France.
    Darányi, Sándor
    University of Borås, Faculty of Librarianship, Information, Education and IT.
    Corubolo, Fabio
    University of Liverpool, UK.
    Muller, Christian
    BUSOC, Belgium.
    McNeill, John
    Tate Galleries, London, UK.
    PERICLES – Digital Preservation through Management of Change in Evolving Ecosystems.2016In: The Success of European Projects Using New Information and Communication Technologies / [ed] Hamriouni, S., Setubal, Portugal, 2016, p. 51-74Conference paper (Refereed)
    Abstract [en]

    Management of change is essential to ensure the long-term reusabilityof digital assets. Change can be brought about in many ways, includingthrough technological, user community and policy factors. Motivated by casestudies in space science and time-based media, we consider the impact ofchange on complex digital objects comprising multiple interdependent entities,such as files, software and documentation. Our approach is based on modellingof digital ecosystems, in which abstract representations are used to assess risksto sustainability and support tasks such as appraisal. The paper is based onwork of the EU FP7 PERICLES project on digital preservation, and presentssome general concepts as well as a description of selected research areas underinvestigation by the project.

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