Now showing items 1-11 of 11

    • Classifying sentential modality in legal language: A use case in financial regulations, acts and directives 

      O'Neill, James; Buitelaar, Paul; Robin, Cécile; O'Brien, Leona (ACM, 2017-06-12)
      Texts expressed in legal language are often di cult and time consuming for lawyers to read through, particularly for the purpose of identifying relevant deontic modalities (obligations, prohibitions and permissions). ...
    • 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 ...
    • Knowledge base completion using distinct subgraph paths 

      Mohamed, Sameh K.; Nováček, Vít; Vandenbussche, Pierre-Yves (ACM, 2018-04-09)
      Graph feature models facilitate efficient and interpretable predictions of missing links in knowledge bases with network structure (i.e. knowledge graphs). However, existing graph feature models-e.g. Subgraph Feature ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • SPORTAL: Searching for Public SPARQL Endpoints 

      Hasnain, Ali; Mehmood, Qaiser; Zainab, Syeda Sana e; Hogan, Aidan (NUI Galway, 2016-10)
      There are hundreds of SPARQL endpoints on the Web, but finding an endpoint relevant to a client s needs is difficult: each endpoint acts like a black box, often without a description of its content. Herein we briefly ...
    • 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 ...
    • 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 ...