Now showing items 239-258 of 544

    • 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 ...
    • LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation 

      Saleem, Muhammad; Hasnain, Ali; Ngonga Ngomo, Axel-Cyrille (Elsevier, 2018-01-12)
      Gathering information from the distributed Web of Data is commonly carried out by using SPARQL query federation approaches. However, the fitness of current SPARQL query federation approaches for real applications is difficult ...
    • 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 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 ...
    • 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 ...
    • Learning from Mistakes Results in Increase of Corporate Value 

      Koumpis, Adamantios (Kassel University Press GmbH, 2013)
      In the paper we approach the issue of learningfrom our mistakes from different schools of thought andwith the use of different epistemological metaphors such asthe intellectual capital. We pose emphasis to the relevance ...
    • Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series 

      Rizzo, Giuseppe; Pereira, Bianca; Varga, Andrea; van Erp, Marieke; Cano Basave, Amparo Elizabeth (2017-03-13)
      The large number of tweets generated daily is providing policy makers with means to obtain insights into recent events around the globe in near real-time. The main barrier for extracting such insights is the impossibility ...
    • Leveraging existing web frameworks for a SIOC explorer to browse online social communities 

      Heitmann, Benjamin; Oren, Eyal (2007)
      Since online SemanticWeb applications are based on existing Web infrastructure, developing these applications could leverage experiences with and infrastructure of existing frameworks. These frameworks need to be extended ...
    • 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 ...
    • Lexical sense alignment using weighted bipartite b-matching 

      Ahmadi, Sina; Arcan, Mihael; McCrae, John (NUI Galway, 2019-05-20)
      In this study, we present a similarity-based approach for lexical sense alignment in WordNet and Wiktionary with a focus on the polysemous items. Our approach relies on semantic textual similarity using features such as ...
    • 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 ...
    • Linked Data Driven Information Systems as an enabler for Integrating Financial Data 

      O'Riain, Sean; Harth, Andreas; Curry, Edward (IGI Global, 2011)
      With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information ...
    • Linked Data Driven Information Systems as an Enabler for Integrating Financial Data 

      O'Riain, Sean; Curry, Edward (IGI Global, 2012)
      With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information integration ...
    • 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 ...