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    AuthorArcan, Mihael (34)Buitelaar, Paul (34)Decker, Stefan (30)Sahay, Ratnesh (27)Hayes, Conor (26)... View MoreSubjectSemantic web (46)Semantic Web (19)Ontology (14)Linked data (13)Data analytics (11)... View MoreDate Issued2020 - 2021 (21)2010 - 2019 (208)2005 - 2009 (90)Type
    Conference Paper (319)
    Report (1)

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    On the correlation between topic and user behaviour in online communities 

    Aumayr, Erik; Hayes, Conor (ICWSM-16, 2016-05-20)
    In the advancement of a better understanding of user behaviour on the Internet, clustering approaches are used as a means to group and categorise online communities. Although clustering approaches indicate similarity between ...
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    Tell me who are your friends, and I’ll tell you who you are 

    Torres-Tramón, Pablo; Hayes, Conor (AICS 2016, 2016-09-20)
    Mentions of politicians in news articles can reflect politician interactions on their daily activities. In this work, we present a mathematical model to represent such interactions as a graph, and we use it to predict the ...
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    Separating the wheat from the chaff: Evaluating success determinants for online Q&A communities 

    Aumayr, Erik; Hayes, Conor (NUI Galway, 2017-05-15)
    Researchers and community managers try to measure the success of online communities using a variety of success determinants, such as member activity, turnover and interaction. Although many success determinants have been ...
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    Identifying equivalent relation paths in knowledge graphs 

    Mohamed, Sameh K.; Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Springer Verlag, 2017-06-19)
    Relation paths are sequences of relations with inverse that allow for complete exploration of knowledge graphs in a two-way unconstrained manner. They are powerful enough to encode complex relationships between entities ...
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    XPLODIV: An exploitation-exploration aware diversification approach for Recommender Systems 

    Barraza-Urbina, Andrea; Heitmann, Benjamin; Hayes, Conor; Carrillo-Ramos, Angela (AAAI Press, 2015-07)
    Recommender Systems (RS) 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 ...
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    Modelling User Behaviour in Online Q&A Communities for Customer Support 

    Aumayr, Erik; Hayes, Conor (Springer, 2014)
    [no abstract available]
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    Characterising and evaluating online communities from live microblogging user interactions 

    Hromic, Hugo; Hayes, Conor (NUI Galway, 2018-07-03)
    Microblogging (mainly represented by Twitter) is a type of social media that focuses on fast open real-time communication using short messages between users and their followers. This system is attractive due to its open ...
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    Social sentiment indices powered by X-scores 

    Davis, Brian; Cortis, Keith; Vasiliu, Laurentiu; Koumpis, Adamantios; McDermott, Ross; Handschuh, Siegfried (INSIGHT Centre for Data Analytics, NUI Galway, Ireland, 2016-05)
    Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social ...
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    Regularizing knowledge graph embeddings via equivalence and inversion axioms 

    Minervini, Pasquale; Costabello, Luca; Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Springer Verlag, 2017-12-30)
    Learning embeddings of entities and relations using neural architectures is an effective method of performing statistical learning on large-scale relational data, such as knowledge graphs. In this paper, we consider the ...
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    SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2) 

    Bordea, Georgeta; Lefever, Els; Buitelaar, Paul (Insight Centre for Data Analytics, 2016-06-16)
    This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organised as part of SemEval 2016. This task aims to extract hypernym-hyponym relations between a given list of domain-specific ...
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