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  • 1.
    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.

  • 2.
    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.

  • 3.
    Li, Cai
    et al.
    Cognitiona and Interaction Lab, School of Informatics, University of Skövde, Sweden.
    Bredies, Katharina
    Design Research Lab Berlin.
    Lund, Anja
    University of Borås, Faculty of Textiles, Engineering and Business.
    Nierstrasz, Vincent
    University of Borås, Faculty of Textiles, Engineering and Business.
    Hemeren, Paul
    Cognition and Interaction Lab, School of Informatics, University of Skövde, Sweden.
    Högberg, Dan
    School of Engineering Science, University of Skövde, Sweden.
    kNN based Numerical Hand Posture Recognition using a Smart Textile Glove2015In: Ambient 2015: The Fifth International Conference on Ambient Computing, Applications, Services and Technologies / [ed] Maarten Weyn, 2015, p. 36-41Conference paper (Refereed)
  • 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.
    Ranta, Aarne
    et al.
    Chalmers University of Technology.
    Angelov, Krasimir
    Chalmers University of Technology.
    Höglind, Robert
    Sahlgrenska University Hospital.
    Axelsson, Christer
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare.
    Sandsjö, Leif
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare.
    A Mobile Language Interpreter App for Prehospital/Emergency Care2017In: Medicinteknikdagarna 2017, 2017Conference paper (Other academic)
    Abstract [en]

    Lack of a shared language is a common communication situation in the globalizing world. Sometimes this can be mitigated by the use of machine translation technology, such as Google translate, but there are mission-critical tasks, like in health care, where one has to be sure about the correctness of the translation. In such situations, human interpreters are the best choice, but interpreters are scarce and in urgent situations they are not always available. This calls for improved and more reliable machine translation initiatives.

    The project to be presented is developing a mobile translator for ambulance personnel use. The translator uses a verifiable and controllable machine translation technology, which is based on semantics, grammars, and professional terminology. The technology has been developed in the international open source project Grammatical Framework (GF) and tested in numerous research projects as well as commercial applications. This project is the first one to apply GF in a healthcare setting. The aim is to develop a platform for a range of health care applications, provided this pilot project for ambulance/emergency care is successful.

    The translator works as a mobile app, in which the user can speak and write questions and other phrases, and get them translated to speech and text in other languages. The phrases cover the concepts used in the SBAR protocol (Situation-Bakgrund-Aktuellt tillstånd-Rekommendation) for ambulance use, as gathered from available documents and a questionnaire sent out to professionals at SU Ambulans. The SBAR protocol is also made available as a dynamic phrasebook, where the user can select appropriate phrases from menus. To help translate spontaneous speech and writing, the translator will also have a facility of suggesting nearest-matching phrases and ranking them by proximity to the verified standard phrases.

    The current prototype covers around 400 concepts, from which millions of phrases can be built. It will work for 7 languages and enable translation between any two of them, although the primary use case is translation from Swedish to another language and translating simple answers from the other language to Swedish. GF has potential for extending the application to over 30 languages.

  • 6.
    Sandsjö, Leif
    et al.
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare.
    Candefjord, Stefan
    SAFER/Chalmers University of Technology.
    Vulnerable Road Users: An eCall service for two-wheel vehicle users2015Report (Refereed)
    Abstract [en]

    Vulnerable road users (VRUs) make up an increasing proportion of killed and severely injured in road traffic accidents. A way of reducing the consequences of road traffic accidents is to make efforts to reduce the time to find the crash site and perform appropriate rescue actions. Automatic Crash Notification (ACN) systems have been developed during the last two decades and are now featured in many modern cars. The European eCall initiative makes an automatic emergency call–function mandatory in all new cars introduced to the European market from 2017.

    The aim of this pre-study was to investigate the possibilities and the potential value of implementing an eCall functionality for VRUs with special focus on two-wheelers and bicyclists.

    This pre-study found a few existing products and services related to the ACN/eCall concept aimed at VRUs, but that there is still a vast potential for further initiatives and development. A pilot study performed as part of this pre-study demonstrated that smartphone technology can be used to detect an accident/fall and in addition also may provide information on the impact experienced by the VRU. Further, that this information can contribute significantly to the postcrash rescue activities and this way reduce the accident-related consequences to the individual.

  • 7.
    Sandsjö, Leif
    et al.
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare.
    Sjöqvist, Bengt Arne
    SAFER Vehicle and Traffic Safety Centre, Chalmers University of Technology, Gothenburg, SWEDEN.
    Candefjord, Stefan
    SAFER Vehicle and Traffic Safety Centre, Chalmers University of Technology, Gothenburg, SWEDEN.
    Can a regular smartphone be used as an automatic crash notification system for vulnerable road users?2016Conference paper (Other academic)
    Abstract [en]

    BACKGROUND

    To reduce the effects of a traffic accident it is essential to transport the casualties to the right care facility with minimal delay. For (single) accidents involving Vulnerable Road Users (VRUs) it is often a problem to know about and report the accident and its location swiftly, and thereby the rescue gets delayed. EU's eCall regulation requires future cars to be equipped with Automatic Crash Notification (ACN), which notifies 112 with the vehicle’s exact location (GPS) in case of a crash.

    Today’s smartphones are equipped with high quality movement sensors (accelerometers, gyroscopes, magnetometers), GPS and SMS functionality, i.e. key components of an ACN. Thus, the aim of this study was to explore the feasibility to develop ACN for VRUs based on regular smartphones. 

    METHODSWe have focused on recording normal activity from bicyclists, horse-back riders, and ATV (All Terrain Vehicle) users, i.e. three different VRU categories who could benefit from an ACN system. Based on these recordings and simplified crash tests/simulations we have developed algorithms for incident detection, i.e. activities which are recognized as non-normal and should be reported as a potential accident.

    RESULT A fully functional ACN app for bicyclists (available from Google Play) and a beta prototype for horse-back riders have been developed. ATV use may be the most challenging of the three VRU groups, as ATVs are often used at low velocities and may rollover without causing high impact to the driver. A first prototype of an ACN algorithm for ATV users resulted in 13 false alarms during 49 hours, i.e. about one every fourth hour. The current development is focused on improving the accuracy of incident detection for ATVs, firstly by decreasing the number of false alarms.

    CONCLUSIONSThis work demonstrates the feasibility of smartphone based ACN systems for VRUs.

  • 8.
    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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