Now showing items 192-211 of 275

  • Random Indexing Explained with High Probability 

    QasemiZadeh, Behrang (2015)
    Random indexing (RI) is an incremental method for constructing a vector space model (VSM) with a reduced dimensionality. Previously, the method has been justified using the mathematical framework of Kanerva's sparse ...
  • Random indexing revisited 

    QasemiZadeh, Behrang (Springer, 2015-05-17)
    Random indexing is a method for constructing vector spaces at a reduced dimensionality. Previously, the method has been proposed using Kanerva's sparse distributed memory model. Although intuitively plausible, this ...
  • Random Manhattan Indexing 

    QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
    Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in text processing. In these models, high-dimensional, often sparse vectors represent text units. In an application, the ...
  • Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction 

    QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
    Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, high-dimensional vectors represent linguistic entities. In an ...
  • 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 ...
  • Re-coding Black Mirror Chairs' Welcome & Organization 

    Troullinou, Pinelopi; d’Aquin, Mathieu; Tiddi, Ilaria (ACM, 2018-04-23)
    This volume of proceedings presents the papers from the 2nd edition of the interdisciplinary workshop Re-coding Black Mirror, held on April 24, 2018 in Lyon, France and co-located with The WEB Conference (WWW2018). ...
  • 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]
  • 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 ...
  • Rewriting simplified text into a controlled natural language 

    Safwat, Hazem; Zarrouk, Manel; Davis, Brian (IOS Press, 2018-08-27)
    While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ...
  • A Roadmap for navigating the Life Sciences Linked Open Data Cloud 

    Hasnain, Ali; Sana e Zainab, Syeda; Kamdar, Maulik; Mehmood, Qaiser; Deus, Helena; Mehdi, Muntazir; Decker, Stefan (2014)
    Multiple datasets that add high value to biomedical research have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. The ability to easily navigate through these datasets is crucial for ...
  • The role of open data in driving sustainable mobility in nine smart cities 

    Yadav, Piyush; Hasan, Souleiman; Ojo, Adegboyega; Curry, Edward (Association for Information Systems, 2017-06-05)
    In today’s era of globalization, sustainable mobility is considered as a key factor in the economic growth of any country. With the emergence of open data initiatives, there is tremendous potential to improve mobility. ...
  • SAFE: Policy Aware SPARQL Query Federation Over RDF Data Cubes 

    Yasar Khan and Muhammad Saleem and Aftab Iqbal and Muntazir Mehdi and Aidan Hogan and Axel-Cyrille Ngonga Ngomo and Stefan Decker and Ratnesh Sahay (2014)
  • SAGE: An Ambient Intelligent Framework for Manufacturing 

    Hynes, Gearoid; Monaghan, Fergal; Thai, VinhTuan; O'Sullivan, David (2006)
    To profit in today¿s market, small manufacturers must be efficient and agile to minimise cost and to meet variable market demand. This paper discusses an envisaged Semantic, Ambient, Generic and Extensible framework ...
  • SAOR: Authoritative Reasoning for the Web 

    Hogan, Aidan; Harth, Andreas; Polleres, Axel (Springer, 2008)
    In this paper we discuss the challenges of performing reasoning on large scale RDF datasets from the Web. We discuss issues and practical solutions relating to reasoning over web data using a rule-based approach to ...
  • Scalable web reasoning using logic programming techniques 

    Lukácsy, Gergely (2009)
    One of the key issues for the uptake of the Semantic Web idea is the availability of reasoning techniques that are usable on a large scale and that offer rich modeling capabilities by providing comprehensive coverage of ...
  • A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions 

    Zhou, ZhangBing; Bhiri, Sami; Shu, Lei; Vasiliu, Laurentiu; Hauswirth, Manfred (IEEE, 2008)
    Web service interactions have triggered the initiative to identify and solve mismatches from a behavioral aspect. Current approaches are limited since they mainly focus on control-flow but largely ignore data-flow. In this ...
  • SCOVO: Using Statistics on the Web of Data 

    Hausenblas, Michael (2009)
    Statistical data is present everywhere from governmental bodies to economics, from life-science to industry. With the rise of the Web of Data, the need for sharing, accessing, and using this data has entered a new stage. ...
  • 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 ...
  • A semantic framework for modelling quotes in email conversations 

    Passant, Alexandre; Zimmermann, Antoine; Schneider, Jodi; Breslin, John G. (2010)
    Quoting is a common practice in online conversations, notably in email discussions and bulletin boards. Despite many applications that offer special functionalities to handle them, there is no agreement on how to semantically ...