Now showing items 1-19 of 19

  • Architecture of Linked Data Applications 

    Heitmann, Benjamin; Cyganiak, Richard; Hayes, Conor; Decker, Stefan (CRC Press (Taylor & Francis), 2014)
    In this chapter, we first perform an empirical survey of RDF-based applications over most of the past decade, from 2003 to 2009. As the Linked Data principles where introduced in 2006, this allows us to describe the current ...
  • Churn in Social Networks 

    Karnstedt, Marcel; Hennessy, Tara; Chan, Jeffrey; Basuchowdhuri, Partha; Hayes, Conor (Springer, 2010)
    Telcom networks, online gaming communities, online communities and discussion forums all have one thing in common: they all can be represented by a network of the social links between people. The links in this social network ...
  • Constructing Twitter Datasets using Signals for Event Detection Evaluation 

    Hromic, Hugo; Hayes, Conor (22nd International Conference on Case-Based Reasoning, 2014-09-29)
    Twitter is a very attractive real-time platform for research on event detection. However, despite the great amount of interest, datasets suitable for evaluating such methods are not easily available. The two most important ...
  • Decomposing Discussion Forums using User Roles 

    Chan, Jeffrey; Hayes, Conor (, 2010)
    Discussion forums are a central part of Web 2.0 and Enterprise 2.0 infrastructures. The health and sustainability of forums is dependent on the information exchange behaviour of its members. Such behaviour needs to be ...
  • An Eigenvalue-Based Measure for Word-Sense Disambiguation 

    Hulpus, Ioana; Hayes, Conor; Greene, Derek (FLAIRS 2012, 2012)
    Current approaches for word-sense disambiguation (WSD) try to relate the senses of the target words by optimizing a score for each sense in the context of all other words' senses. However, by scoring each sense separately, ...
  • Extracting and Utilizing Social Networks from Log Files of Shared Workspaces 

    Nasirifard, Peyman; Peristeras, Vassilios; Hayes, Conor; Decker, Stefan (Springer, 2009)
    Log files of online shared workspaces contain rich information that can be further analyzed. In this paper, log-file information is used to extract object-centric and user-centric social networks. The object-centric social ...
  • A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning 

    Hulpus, Ioana; Hayes, Conor (Springer, 2014)
    Personalised recommender systems receive growing attention from researchers of technology enhanced learning. The learning domain has a great need for personalisation as there is a general consensus that instructional ...
  • Kanopy: Analysing the Semantic Network around Document Topics 

    Hulpus, Ioana; Hayes, Conor; Karnstedt, Marcel; Greene, Derek; Jozwowicz, Marek (Springer, 2013)
    External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes ...
  • Modelling User Behaviour in Online Q&A Communities for Customer Support 

    Aumayr, Erik; Hayes, Conor (Springer, 2014)
    [no abstract available]
  • On-the-Fly Adaptive Planning for Game-Based Learning 

    Hulpus, Ioana; Hayes, Conor (2010)
    In this paper, we present a model for competency development using serious games, which is underpinned by a hierarchical case-based planning strategy. In our model, a learner s objectives are addressed by retrieving a ...
  • Path-based semantic relatedness on linked data and its use to word and entity disambiguation 

    Hulpus, Ioana; Prangnawarat, Narumol; Hayes, Conor (2015)
    Semantic relatedness and disambiguation are fundamental problems for linking text documents to the Web of Data. There are many approaches dealing with both problems but most of them rely on word or concept distribution ...
  • Rapid Competence Development in Serious Games Using Case-Based Reasoning and Threshold Concepts 

    Hulpus, Ioana; Fradinho, Manuel; Hayes, Conor (2010)
    A major challenge in todays fast pace world is the acquisition of competence in a timely and efficient manner, whilst keeping the individual highly motivated. This paper presents a novel based on the use of serious games ...
  • Reconstruction of Threaded Conversations in Online Discussion Forums 

    Aumayr, Erik; Jeffrey, Chan; Hayes, Conor (Fifth International AAAI Conference on Weblogs and Social Media, 2011-07-18)
    [no abstract available]
  • SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge 

    Heitmann, Benjamin; Hayes, Conor (Springer, 2014-10-14)
    SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality ...
  • Towards a reference architecture for Semantic Web applications 

    Heitmann, Benjamin; Hayes, Conor; Oren, Eyal (2009)
    The Semantic Web currently has two complementary architectural approaches: ¿Bottom-up¿ emergent best practices by the community and ¿top-down¿ prescriptive standards by standards bodies, leaving a gap regarding the concrete ...
  • Towards Cross-Community Effects in Scientific Communities 

    Karnstedt, Marcel; Hayes, Conor (2009)
    Community effects on the behaviour of individuals, the community itself and other communities can be observed in a wide range of applications. This is true in scientific research, where communities of researchers have ...
  • Unsupervised Graph-Based Topic Labelling using DBpedia 

    Hulpus, Ioana; Hayes, Conor; Karnstedt, Marcel; Greene, Derek (2013)
    Automated topic labelling brings benefits for users aiming at analysing and understanding document collections, as well as for search engines targetting at the linkage between groups of words and their inherent topics. ...
  • Using Tags and Clustering to Identify Topic-Relevant Blogs 

    Hayes, Conor (IAAA, 2007)
    The Web has experienced an exponential growth in the use of weblogs or blogs. Blog entries are generally organised using tags, informally defined labels which are increasingly being proposed as a `grassroots¿ answer to ...
  • XploDiv: Diversification Approach for Recommender Systems 

    Barraza-Urbina, Andrea; Heitmann, Benjamin; Hayes, Conor; Ramos, Angela Carrillo (INSIGHT Centre for Data Analytics, National University of Ireland, Galway, 2015)
    Recommender Systems have emerged to guide users in the task of efficiently browsing/exploring a large product space, helping users to quickly identify interesting products. However, suggestions generated with traditional ...