Now showing items 123-142 of 275

  • Language related issues for machine translation between closely related south Slavic languages 

    Popovic, Maja; Arcan, Mihael; Klubicka, Filip (The COLING 2016 Organizing Committee, 2016-12-12)
    Machine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be ...
  • LD2SD: Linked Data Driven Software Development 

    Iqbal, Aftab; Ureche, Oana-Elena; Hausenblas, Michael; Tummarello, Giovanni (2009)
    In this paper we introduce Linked Data Driven Software Development (LD2SD), a light-weight Semantic Web methodology to turn software artefacts such as data from version control systems, bug tracking tools and source code ...
  • Learning from Linked Open Data Usage: Patterns & Metrics 

    Möller, Knud; Hausenblas, Michael; Cyganiak, Richard; Handschuh, Siegfried (2010)
    Although the cloud of Linked Open Data has been growing continuously for several years, little is known about the particular features of linked data usage. Motivating why it is important to understand the usage of Linked ...
  • Leveraging Ontologies, Context and Social Networks to Automate Photo Annotation 

    Monaghan, Fergal; O'Sullivan, David (Springer, 2007)
    This paper presents an approach to semi-automate photo an- notation. Instead of using content-recognition techniques this approach leverages context information available at the scene of the photo such as time and location ...
  • Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models 

    Torregrosa, Daniel; Pasricha, Nivranshu; Chakravarth, Bharathi Raja; Masoud, Maraim; Alonso, Juan; Casas, Noe; Arcan, Mihael (NUI Galway, 2019-08-19)
    Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total ...
  • Life-cycles and mutual effects of scientific communities 

    Belák, Václav; Karnstedt, Marcel; Hayes, Conor (ASNA, 2011)
    Cross-community effects on the behaviour of individuals and communities themselves can be observed in a wide range of applications. While previous work has tried to explain and analyse such phenomena, there is still a great ...
  • Linguistic linked data for sentiment analysis 

    Buitelaar, Paul; Arcan, Mihael; Iglesias, Carlos A.; Sánchez-Rada, Juan Fernando; Strapparava, Carlo (Association for Computational Linguistics, 2013-09-23)
    In this paper we describe the specification of a model for the semantically interoperable representation of language resources for sentiment analysis. The model integrates ‘lemon’, an RDF-based model for the specification ...
  • Link prediction using multi part embeddings 

    Mohamed, Sameh K.; Nováček, Vít (NUI Galway, 2019-06-02)
    Knowledge graph embeddings models are widely used to provide scalable and efficient link prediction for knowledge graphs. They use different techniques to model embeddings interactions, where their tensor factorisation ...
  • Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery 

    Hasnain, Ali; Kamdar, Maulik; Deus, Helena; Mehdi, Muntazir; Decker, Stefan (Springer, 2014)
    The increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance information discovery. As ...
  • Linked cancer genome atlas database 

    Padmanabhuni, Shanmukha S.; Decker, Stefan (2013)
  • Linked data cased multi-omics integration and visualization for cancer decision networks 

    Jha, Alokkumar; Khan, Yasar; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (Springer Verlag, 2018-12-30)
    Visualization of Gene Expression (GE) is a challenging task since the number of genes and their associations are difficult to predict in various set of biological studies. GE could be used to understand tissue-gene-protein ...
  • A linked data platform for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Decker, Stefan; Sahay, Ratnesh (ACM, 2015-09-16)
    Biosimulation models have been recently introduced to understand the exact causative factors that give rise to impairment in human organs. Finite Element Method (FEM) provides a mathematical framework to simulate dynamic ...
  • A linked data visualiser for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Raza, Saleem; Hasapis, Panagiotis; Sahay, Ratnesh (IEEE, 2016-02-04)
    Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological ...
  • Linked functional annotation for differentially expressed gene (DEG) demonstrated using Illumina Body Map 2.0 

    Jha, Alokkumar; Khan, Yasar; Iqbal, Aftab; Zappa, Achille; Mehdi, Muntazir; Sahay, Ratnesh; Rebholz-Schuhmann, Dietrich (CEUR-WS.org, 2015-12-09)
    Semantic Web technologies are core for the integration of disparate data resources. It can be used to exploit data from next generation sequencing (NGS) for therapeutic decisions regarding cancer. In this manuscript, ...
  • Linking knowledge graphs across languages with semantic similarity and machine translation 

    McCrae, John P.; Arcan, Mihael; Buitelaar, Paul (MLP 2017, 2017-09-04)
    Knowledge graphs and ontologies underpin many natural language processing applications, and to apply these to new languages, these knowledge graphs must be translated. Up until now, this has been achieved either by direct ...
  • A Logic Programming approach for Access Control over RDF 

    Lopes, Nuno; Kirrane, Sabrina; Mileo, Alessandra; Zimmermann, Antoine; Polleres, Axel (International Conference on Logic Programming (ICLP), 2012)
    The Resource Description Framework (RDF) is an interoperable data representation format suitable for interchange and integration of data, especially in Open Data contexts. However, RDF is also becoming increasingly attractive ...
  • Measuring accuracy of triples in knowledge graphs 

    Liu, Shuangyan; d’Aquin, Mathieu; Motta, Enrico (Springer, 2017-06-19)
    An increasing amount of large-scale knowledge graphs have been constructed in recent years. Those graphs are often created from text-based extraction, which could be very noisy. So far, cleaning knowledge graphs are ...
  • A Methodological Approach for Ontologising and Aligning Health Level Seven Applications 

    Sahay, Ratnesh; Fox, Ronan; Polleres, Axel; Hauswrith, Manfred (2011-05)
    Healthcare applications are complex in the way data and schemas are organised in their internal systems. Widely deployed healthcare standards like Health Level Seven (HL7) V2 are designed using exible schemas which allow ...
  • Mining cardinalities from knowledge bases 

    Muñoz, Emir; Nickles, Matthias (Springer Verlag, 2017-08-01)
    Cardinality is an important structural aspect of data that has not received enough attention in the context of RDF knowledge bases (KBs). Information about cardinalities can be useful for data users and knowledge engineers ...
  • Modeling services for the semantic grid 

    Polleres, Axel; Fensel, Dieter (2005)