Now showing items 188-207 of 275

  • Quantified equilibrium logic and hybrid rules 

    Polleres, Axel (Springer, 2007)
    In the ongoing discussion about combining rules and Ontologies on the Semantic Web a recurring issue is how to combine first-order classical logic with nonmonotonic rule languages. Whereas several modular approaches to de- ...
  • Querying Phenotype-Genotype Associations across Multiple Knowledge Bases using Semantic Web Technologies 

    Iqbal, Aftab (2013)
    Biomedical and genomic data are inherently heterogeneous and their recent proliferation over the Web has demanded innovative querying methods to help domain experts in their clinical and research studies. In this paper we ...
  • Querying web polystores 

    Khan, Ya; Zimmermann, Antoine; Jha, AlokKumar; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (IEEE, 2017-12-11)
    The database, semantic web, and linked data communities have proposed solutions that federate queries over multiple data sources using a single data model. Nowadays, the data retrieval requirements originating from versatile ...
  • 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 ...