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  • Publication . Part of book or chapter of book . 2002
    Open Access
    Authors: 
    Jianhan Zhu; Jun Hong; John Hughes;
    Publisher: Springer Berlin Heidelberg

    The large number of Web pages on many Web sites has raised\ud navigational problems. Markov chains have recently been used to model user navigational behavior on the World Wide Web (WWW). In this paper, we propose a method for constructing a Markov model of a Web site based on past\ud visitor behavior. We use the Markov model to make link predictions that assist new users to navigate the Web site. An algorithm for transition probability\ud matrix compression has been used to cluster Web pages with similar transition behaviors and compress the transition matrix to an optimal size for efficient probability calculation in link prediction. A maximal forward path method is used to further improve the efficiency of link prediction. Link prediction has been implemented in an online system called ONE (Online Navigation Explorer) to assist users' navigation in the adaptive Web site.

  • Publication . Part of book or chapter of book . Book . 2011
    Open Access
    Authors: 
    M-Dyaa Albakour; Udo Kruschwitz; Nikolaos Nanas; Yunhyong Kim; Dawei Song; Maria Fasli; Anne De Roeck;
    Project: UKRI | Automatic Adaptation of K... (EP/F035357/1)

    User evaluations of search engines are expensive and not easy to replicate. The problem is even more pronounced when assessing adaptive search systems, for example system-generated query modification suggestions that can be derived from past user interactions with a search engine. Automatically predicting the performance of different modification suggestion models before getting the users involved is therefore highly desirable. AutoEval is an evaluation methodology that assesses the quality of query modifications generated by a model using the query logs of past user interactions with the system. We present experimental results of applying this methodology to different adaptive algorithms which suggest that the predicted quality of different algorithms is in line with user assessments. This makes AutoEval a suitable evaluation framework for adaptive interactive search engines.

  • Publication . Part of book or chapter of book . Conference object . 2019
    Open Access English
    Authors: 
    Lara S. G. Piccolo; Somya Joshi; Evangelos Karapanos; Tracie Farrell;
    Country: Cyprus

    Part 12: Workshops; International audience; The manipulation of information and the dissemination of “fake news” are practices that trace back to the early records of human history. Significant changes in the technological environment enabling ubiquity, immediacy and considerable anonymity, have facilitated the spreading of misinformation in unforeseen ways, raising concerns around people’s (mis)perception of social issues worldwide. As a wicked problem, limiting the harm caused by misinformation goes beyond technical solutions, requiring also regulatory and behavioural changes. This workshop proposes to unpack the challenge at hand by bringing together diverse perspectives to the problem. Based on participatory design principles, it will challenge participants to critically reflect the limits of existing socio-technical approaches and co-create scenarios in which digital platforms support misinformation resilience.

  • Open Access
    Authors: 
    Asanga Nimalasena; Vladimir Getov;
    Publisher: Springer International Publishing

    Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both these approaches have limitation which makes them unsuitable in situations where a context-aware application has to deal with unknown context changes. In this paper we propose a framework where adaptation is carried out via concurrent multi-action evaluation of a dynamically created action space. This dynamic creation of the action space eliminates the need for relying on the developers to create context-action pairs and the concurrent multi-action evaluation reduces the adaptation time as opposed to the iterative approach used by adaptive learning techniques. Using our reference implementation of the framework we show how it could be used to dynamically determine the threshold price in an e-commerce system which uses the name-your-own-price (NYOP) strategy.

  • Publication . Part of book or chapter of book . Conference object . 2011
    Open Access English
    Authors: 
    Oraee, B; Tavassoli, M; Oraee, K;
    Publisher: Dept. of Mining Engineering, College of Engineering and Mineral Resources, West Virginia University
    Country: United Kingdom

    Since the advent of New Austrian Tunneling Method (NATM), shotcrete as a primary means of support in tunnels has been widely applied. It’s most important features are durability, speed of application and cost effectiveness. This paper introduces some tables that provide guidelines for the thickness of shotcrete required in some common situations of mine roadways. In order to devise such tables, two different arch sections, together with three different overburden types, were considered. Geotechnical parameters such as apparent cohesion and angle of internal friction of surrounding rocks were chosen, based on the five-category classification of Bieniawski. Two K0 factors (the ratio of horizontal stress to vertical stress) and an average rock density were utilized. Using numerical methods, 60 models were then devised in this way. By applying interaction diagrams of axial force and the bending moment for different thicknesses of shotcrete, appropriate shotcrete thickness for these models were calculated. The results of this research, as well as the methodology applied, can be used in mining roadway support design and all types of civil engineering tunnels.

  • Open Access English
    Authors: 
    Malgorzata A. Grzegorczyk; Pantea Lotfian; William J. Nuttall;
    Publisher: Springer

    In this chapter we explore the future for innovation in two related, but distinct, sectors. We consider the linkages between medical technology(MedTech) and agricultural technology (Agri-Tech) innovation in the UK. We ask and discuss questions: Who are the key actors in the innovation systems of Medtech and Agri-Tech in the UK? What are the core technologies driving the current waves of innovation in these two sectors? Can one industry learn from the other? Where is the scope for cooperation and synergies? We notice that both sectors are technologically linked through foundational technologies underpinning the majority of the observed innovation e.g. big data, AI, IoT and robotics. The outputs of these technologies rely crucially on digital data for insight and decision support. However, Agri-Tech benefits from less complex stakeholder issues regarding data security and privacy. Both sectors are important to the UK going forwards, and both will be exposed to Brexit and the consequences of the COVID pandemic. Our discussion on the future of innovation should be of particular interest to start-up leaders, entrepreneurs, investors, managers and policy-makers in MedTech, Agri-Tech and cognate sectors.

  • Open Access English
    Authors: 
    Simone Baglioni; Francesca Calò; Paola Garrone; Mario Marco Molteni;
    Publisher: Palgrave MacMillan

    This chapter presents the research rationale underpinning the book. It addresses the intertwining challenges of food security and surplus food management, discussing recent data and literature. It also presents how social innovation is conceptualized in the book as the theoretical framework to analyse partnerships between business and non-profit organisations in managing food surplus. The methodology of the research is also detailed, along with the book structure.

  • Publication . Part of book or chapter of book . Book . Conference object . 2004
    Open Access English
    Authors: 
    Carron Shankland; Jeremy Bryans; Lionel Morel;
    Publisher: Springer

    We present a logic for reasoning about state transition systems (LOTOS behaviours) which allows properties involving repeated patterns over actions and data to be expressed. The state transition systems are derived from LOTOS behaviours; however, the logic is applicable to any similar formalism. The semantics of the logic is given with respect to symbolic transition systems, allowing reasoning about data to be separated from reasoning about flow of control. Several motivational examples are included.

  • Publication . Part of book or chapter of book . 2016
    Open Access
    Authors: 
    Leo Havemann;
    Publisher: Springer Singapore
    Country: United Kingdom

    Introduces the notion of OER and situates it within a wider open education movement, which has more recently seen a turn to the consideration of 'open educational practices'.

  • Publication . Conference object . Part of book or chapter of book . Article . Preprint . 2019
    Open Access English
    Authors: 
    Salatino, Angelo; Osborne, Francesco; Thanapalasingam, Thiviyan; Motta, Enrico;
    Publisher: Springer Verlag
    Country: Italy

    Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of re-search areas in the field of Computer Science. The CSO Classifier takes as input the metadata associated with a research paper (title, abstract, keywords) and returns a selection of research concepts drawn from the ontology. The approach was evaluated on a gold standard of manually annotated articles yielding a significant improvement over alternative methods. Comment: Conference paper at TPDL 2019

search
Include:
684 Research products, page 1 of 69
  • Publication . Part of book or chapter of book . 2002
    Open Access
    Authors: 
    Jianhan Zhu; Jun Hong; John Hughes;
    Publisher: Springer Berlin Heidelberg

    The large number of Web pages on many Web sites has raised\ud navigational problems. Markov chains have recently been used to model user navigational behavior on the World Wide Web (WWW). In this paper, we propose a method for constructing a Markov model of a Web site based on past\ud visitor behavior. We use the Markov model to make link predictions that assist new users to navigate the Web site. An algorithm for transition probability\ud matrix compression has been used to cluster Web pages with similar transition behaviors and compress the transition matrix to an optimal size for efficient probability calculation in link prediction. A maximal forward path method is used to further improve the efficiency of link prediction. Link prediction has been implemented in an online system called ONE (Online Navigation Explorer) to assist users' navigation in the adaptive Web site.

  • Publication . Part of book or chapter of book . Book . 2011
    Open Access
    Authors: 
    M-Dyaa Albakour; Udo Kruschwitz; Nikolaos Nanas; Yunhyong Kim; Dawei Song; Maria Fasli; Anne De Roeck;
    Project: UKRI | Automatic Adaptation of K... (EP/F035357/1)

    User evaluations of search engines are expensive and not easy to replicate. The problem is even more pronounced when assessing adaptive search systems, for example system-generated query modification suggestions that can be derived from past user interactions with a search engine. Automatically predicting the performance of different modification suggestion models before getting the users involved is therefore highly desirable. AutoEval is an evaluation methodology that assesses the quality of query modifications generated by a model using the query logs of past user interactions with the system. We present experimental results of applying this methodology to different adaptive algorithms which suggest that the predicted quality of different algorithms is in line with user assessments. This makes AutoEval a suitable evaluation framework for adaptive interactive search engines.

  • Publication . Part of book or chapter of book . Conference object . 2019
    Open Access English
    Authors: 
    Lara S. G. Piccolo; Somya Joshi; Evangelos Karapanos; Tracie Farrell;
    Country: Cyprus

    Part 12: Workshops; International audience; The manipulation of information and the dissemination of “fake news” are practices that trace back to the early records of human history. Significant changes in the technological environment enabling ubiquity, immediacy and considerable anonymity, have facilitated the spreading of misinformation in unforeseen ways, raising concerns around people’s (mis)perception of social issues worldwide. As a wicked problem, limiting the harm caused by misinformation goes beyond technical solutions, requiring also regulatory and behavioural changes. This workshop proposes to unpack the challenge at hand by bringing together diverse perspectives to the problem. Based on participatory design principles, it will challenge participants to critically reflect the limits of existing socio-technical approaches and co-create scenarios in which digital platforms support misinformation resilience.

  • Open Access
    Authors: 
    Asanga Nimalasena; Vladimir Getov;
    Publisher: Springer International Publishing

    Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both these approaches have limitation which makes them unsuitable in situations where a context-aware application has to deal with unknown context changes. In this paper we propose a framework where adaptation is carried out via concurrent multi-action evaluation of a dynamically created action space. This dynamic creation of the action space eliminates the need for relying on the developers to create context-action pairs and the concurrent multi-action evaluation reduces the adaptation time as opposed to the iterative approach used by adaptive learning techniques. Using our reference implementation of the framework we show how it could be used to dynamically determine the threshold price in an e-commerce system which uses the name-your-own-price (NYOP) strategy.

  • Publication . Part of book or chapter of book . Conference object . 2011
    Open Access English
    Authors: 
    Oraee, B; Tavassoli, M; Oraee, K;
    Publisher: Dept. of Mining Engineering, College of Engineering and Mineral Resources, West Virginia University
    Country: United Kingdom

    Since the advent of New Austrian Tunneling Method (NATM), shotcrete as a primary means of support in tunnels has been widely applied. It’s most important features are durability, speed of application and cost effectiveness. This paper introduces some tables that provide guidelines for the thickness of shotcrete required in some common situations of mine roadways. In order to devise such tables, two different arch sections, together with three different overburden types, were considered. Geotechnical parameters such as apparent cohesion and angle of internal friction of surrounding rocks were chosen, based on the five-category classification of Bieniawski. Two K0 factors (the ratio of horizontal stress to vertical stress) and an average rock density were utilized. Using numerical methods, 60 models were then devised in this way. By applying interaction diagrams of axial force and the bending moment for different thicknesses of shotcrete, appropriate shotcrete thickness for these models were calculated. The results of this research, as well as the methodology applied, can be used in mining roadway support design and all types of civil engineering tunnels.

  • Open Access English
    Authors: 
    Malgorzata A. Grzegorczyk; Pantea Lotfian; William J. Nuttall;
    Publisher: Springer

    In this chapter we explore the future for innovation in two related, but distinct, sectors. We consider the linkages between medical technology(MedTech) and agricultural technology (Agri-Tech) innovation in the UK. We ask and discuss questions: Who are the key actors in the innovation systems of Medtech and Agri-Tech in the UK? What are the core technologies driving the current waves of innovation in these two sectors? Can one industry learn from the other? Where is the scope for cooperation and synergies? We notice that both sectors are technologically linked through foundational technologies underpinning the majority of the observed innovation e.g. big data, AI, IoT and robotics. The outputs of these technologies rely crucially on digital data for insight and decision support. However, Agri-Tech benefits from less complex stakeholder issues regarding data security and privacy. Both sectors are important to the UK going forwards, and both will be exposed to Brexit and the consequences of the COVID pandemic. Our discussion on the future of innovation should be of particular interest to start-up leaders, entrepreneurs, investors, managers and policy-makers in MedTech, Agri-Tech and cognate sectors.

  • Open Access English
    Authors: 
    Simone Baglioni; Francesca Calò; Paola Garrone; Mario Marco Molteni;
    Publisher: Palgrave MacMillan

    This chapter presents the research rationale underpinning the book. It addresses the intertwining challenges of food security and surplus food management, discussing recent data and literature. It also presents how social innovation is conceptualized in the book as the theoretical framework to analyse partnerships between business and non-profit organisations in managing food surplus. The methodology of the research is also detailed, along with the book structure.

  • Publication . Part of book or chapter of book . Book . Conference object . 2004
    Open Access English
    Authors: 
    Carron Shankland; Jeremy Bryans; Lionel Morel;
    Publisher: Springer

    We present a logic for reasoning about state transition systems (LOTOS behaviours) which allows properties involving repeated patterns over actions and data to be expressed. The state transition systems are derived from LOTOS behaviours; however, the logic is applicable to any similar formalism. The semantics of the logic is given with respect to symbolic transition systems, allowing reasoning about data to be separated from reasoning about flow of control. Several motivational examples are included.

  • Publication . Part of book or chapter of book . 2016
    Open Access
    Authors: 
    Leo Havemann;
    Publisher: Springer Singapore
    Country: United Kingdom

    Introduces the notion of OER and situates it within a wider open education movement, which has more recently seen a turn to the consideration of 'open educational practices'.

  • Publication . Conference object . Part of book or chapter of book . Article . Preprint . 2019
    Open Access English
    Authors: 
    Salatino, Angelo; Osborne, Francesco; Thanapalasingam, Thiviyan; Motta, Enrico;
    Publisher: Springer Verlag
    Country: Italy

    Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of re-search areas in the field of Computer Science. The CSO Classifier takes as input the metadata associated with a research paper (title, abstract, keywords) and returns a selection of research concepts drawn from the ontology. The approach was evaluated on a gold standard of manually annotated articles yielding a significant improvement over alternative methods. Comment: Conference paper at TPDL 2019

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