Recent Submissions

  • Semantic relation classification: task formalisation and refinement 

    Silva, Vivian S.; Hürliman, Manuela; Davis, Brian; Handschuh, Siegfried; Freitas, André (Association for Computational Linguistics, 2016-12-12)
    The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight semantic interpretation model. Currently, ...
  • Dublin City University and Partners' participation in the INS and VTT Tracks at TRECVid 2016 

    Marsden, Mark; Mohedano, Eva; McGuinness, Kevin; Calafell, Andrea; Giro-i-Nieto, Xavier; O'Connor, Noel E.; Zhou, Jiang; Azavedo, Lucas; Daudert, Tobias; Davis, Brian; Hürlimann, Manuela; Afli, Haithem; Du, Jinhua; Ganguly, Debasis; Li, Wei; Way, Andy; Smeaton, Alan F. (2016-11-14)
    Dublin City University participated with a consortium of colleagues from NUI Galway and Universitat Polit`ecnica de Catalunya in two tasks in TRECVid 2016, Instance Search (INS) and Video to Text (VTT). For the INS task ...
  • A Twitter sentiment gold standard for the Brexit referendum 

    Hürlimann, Manuela; Davis, Brian; Cortis, Keith; Freitas, André; Handschuh, Siegfried; Fernández, Sergio (CEUR Workshop Proceedings, 2016-09-12)
    A Twitter Sentiment Gold Standard for the Brexit Referendum Manuela Hürlimann, Brian Davis Insight Centre for Data Analytics National University of Ireland Galway, Ireland {first.last}@insight-centre.org Keith Cortis, André ...
  • In or out? Real-time monitoring of BREXIT sentiment on Twitter 

    Vasiliu, Laurentiu; Freitas, André; Caroli, Frederico; McDermott, Ross; Zarrouk, Manel; Hürlimann, Manuela; Davis, Brian; Daudert, Tobias; Khaled, Malek Ben; Byrne, David; Fernández, Sergio; Cavallini, Angelo (CEUR Workshop Proceedings, 2016-09-12)
    The SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection ...
  • Combining lexical and spatial knowledge to predict spatial relations between objects in images 

    Hürlimann, Manuela; Bos, Johan (ACL Anthology, 2016-08-11)
    Explicit representations of images are useful for linguistic applications related to images. We design a representation based on first-order models that capture the objects present in an image as well as their spatial ...
  • A hybrid method for rating prediction using linked data features and text reviews 

    Yumusak, Semih; Muñoz, Emir; Minervini, Pasquale; Dogdu, Erdogan; Kodaz, Halife (CEUR-WS.org, 2016)
    This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ...
  • A linked data-based decision tree classifier to review movies 

    Aldarra, Suad; Muñoz, Emir (CEUR-WS.org, 2015)
    In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ...
  • Learning content patterns from linked data 

    Muñoz, Emir (CEUR-WS.org, 2014)
    Linked Data (LD) datasets (e.g., DBpedia, Freebase) are used in many knowledge extraction tasks due to the high variety of domains they cover. Unfortunately, many of these datasets do not provide a description for their ...
  • µRaptor: A DOM-based system with appetite for hCard elements 

    Muñoz, Emir; Costabello, Luca; Vandenbussche, Pierre-Yves (CEUR-WS.org, 2014)
    This paper describes µRaptor, a DOM-based method to extract hCard microformats from HTML pages stripped of microformat markup. µRaptor extracts DOM sub-trees, converts them into rules, and uses them to extract hCard ...
  • DRETa: extracting RDF from wikitables 

    Muñoz, Emir; Hogan, Aidan; Mileo, Alessandra (CEUR-WS.org, 2013)
    Tables are widely used in Wikipedia articles to display relational information - they are inherently concise and information rich. However, aside from info-boxe s, there are no automatic methods to exploit the integrated ...
  • Triplifying Wikipedia's tables 

    Muñoz, Emir; Hogan, Aidan; Mileo, Alessandra (CEUR-WS.org, 2013)
    We are currently investigating methods to triplify the content of Wikipedia's tables. We propose that existing knowledge-bases can be leveraged to semi-automatically extract high-quality facts (in the form of RDF triples) ...
  • The finite implication problem for expressive XML keys: Foundations, applications, and performance evaluation 

    Ferrarotti, Flavio; Hartmann, Sven; Link, Sebastian; Marin, Mauricio; Muñoz, Emir (Springer, 2013)
    The increasing popularity of XML for persistent data storage, processing and exchange has triggered the demand for efficient algorithms to manage XML data. Both industry and academia have long since recognized the importance ...
  • SemanTex: semantic text exploration using document links implied by conceptual networks extracted from the texts 

    Aldarra, Suad; Muñoz, Emir; Vandenbussche, Pierre-Yves; Nováček, Vít (ACMCEUR-WS.org, 2014)
    Despite of advances in digital document processing, exploration of implicit relationships within large amounts of textual resources can still be daunting. This is partly due to the ‘black-box’ nature of most current ...
  • Using linked data to mine RDF from wikipedia's tables 

    Muñoz, Emir; Hogan, Aidan; Mileo, Alessandra (ACM, 2014)
    The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these tables cannot be queried against. We thus propose methods to recover the semantics of ...
  • Validation of expressive XML keys with XML schema and XQuery 

    Liu, Bo; Link, Sebastian; Muñoz, Emir (ACS, 2015)
    The eXtensible Markup Language (XML) is the defacto industry standard for exchanging data on the Web and elsewhere. While the relational model of data enjoys a well-accepted definition of a key, several competing notions ...
  • On learnability of constraints from RDF data 

    Muñoz, Emir (Springer International Publishing, 2016-05-14)
    RDF is structured, dynamic, and schemaless data, which enables a big deal of flexibility for Linked Data to be available in an open environment such as the Web. However, for RDF data, flexibility turns out to be the source ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Using social media for online television adaptation services at RTÉ Ireland 

    Barraza-Urbina, Andrea; Hromic, Hugo; Heitmann, Benjamin; Tamatam, Himasagar; Yañez, Andrea; Hayes, Conor (Insight Centre for Data Analytics, National University of Ireland, Galway, 2016)
    RTÉ (Raidió Teilifís Éireann) is the national provider of Television (TV) and radio in Ireland. RTÉ broadcasts its content online through the RTÉ Player and provides services to interact with its users using social media, ...

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