Browsing Data Science Institute by Title
Now showing items 243-262 of 544
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Learning from Linked Open Data Usage: Patterns & Metrics
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(2013) -
Linked data cased multi-omics integration and visualization for cancer decision networks
(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
(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
(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
(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 ... -
Linked Data tagging with LODr
(2008)We demonstrate one of the potential paths of the evolution of wiki engines towards Web 3.0. We introduce 3dWiki - the 3D wiki engine, which was built according to 2-Layer Interface Paradigm (2LIP). It was developed ... -
A linked data visualiser for finite element biosimulations
(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 ... -
A linked data visualiser for finite element biosimulations
(World Scientific Publishing, 2016)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 ... -
A linked data-based decision tree classifier to review movies
(CEUR-WS.org, 2015)In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ...