Now showing items 526-545 of 1040

  • 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 ...
  • Laser sintering for the fabrication of tissue engineering scaffolds 

    Lohfeld, Stefan; McHugh, Peter E. (Springer Science+Business Media, 2012)
    Laser sintering (LS) utilises a laser to sinter powder particles. A volumetric model is sliced and processedcross section by cross section to create a physical part. In theory, all powdered materials are suitable forsintering; ...
  • 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 ...
  • Leading community change: delivering better outcomes in an Irish community. Childhood Development Initiative final process evaluation report 

    Canavan, John; Coen, Liam; Ozan, Jessica; Curtin, Chris (Childhood Development Initiative, 2014)
    In 2003, individuals from a number of organisations in Tallaght West came together with local residents with the shared desire of improving outcomes for children and young people in the area. This group’s consultation, ...
  • 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 ...
  • Like a rolling stone: the mobility of maerl (corallinaceae) and the neutrality of the associated assemblages. 

    Johnson, Mark P. (Ecological Society of America, 2008)
    Beds of non-attached coralline algae (maerl or rhodoliths) are widespread and considered relatively species rich. This habitat is generally found in areas where there is chronic physical disturbance such that maerl thalli ...
  • Linear regression for estimating bladder volume with voltage signals 

    Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; O'Halloran, Martin; Porter, Emily (IEEE, 2018-11-08)
    Urinary incontinence is a common condition that can severely impact the lives of those who have it. Bladder volume monitoring solutions that exploit the electrical differences of different tissues in the pelvis have the ...
  • 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 and the Semantic Web Standards 

    Hogan, Aidan (Chapman and Hall / CRC Press, 2013)
    On the traditional World Wide Web we all know and love, machines are used as brokers of content: they store, organize, request, route, transmit, receive and display content encapsulated as documents. In order for machines ...