Browsing Research Institutes and Centres by Subject "Linked Data"

Now showing items 1-16 of 16

    • Architecture of Linked Data Applications 

      Heitmann, Benjamin; Cyganiak, Richard; Hayes, Conor; Decker, Stefan (CRC Press (Taylor & Francis), 2014)
      In this chapter, we first perform an empirical survey of RDF-based applications over most of the past decade, from 2003 to 2009. As the Linked Data principles where introduced in 2006, this allows us to describe the current ...

    • A collaborative methodology for developing a semantic model for interlinking Cancer Chemoprevention linked-data sources 

      Zeginis, Dimitris; Hasnain, Ali; Loutas, Nikolaos; Deus, Helena; Fox, Ronan; Tarabanisa, Konstantinos (IOS press, 2013)
                                 This paper proposes a collaborative methodology for developing semantic data models. The proposed methodology for the semantic model development follows a meet-in-the-middle approach. On the ...

    • Creating a multilingual terminological resource using linked data:the case of archaeological domain in the Italian language 

      Carlino, Carola; Ahmadi, Sina; Speranza, Giulia (CEUR Workshop Proceedings, 2019-11-13)
      The lack of multilingual terminological resources in specialized domains constitutes an obstacle to the access and reuse of information. In the technical domain of cultural heritage and, in particular, archaeology, such ...

    • A decade of Semantic Web research through the lenses of a mixed methods approach 

      Kirrane, Sabrina; Sabou, Marta; Fernandez, Javier D.; Osborne, Francesco; Robin, Cécile; Buitelaar, Paul; Motta, Enrico; Polleres, Axel (IOS Press, 2019-06-20)
      The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily ...

    • GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research 

      Kamdar, MR; Iqbal, A; Saleem, M; Deus, HF; Decker, S (ISCB, 2014-02-28)
      Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...

    • Historical data preservation and interpretation pipeline for Irish civil registration records 

      Beyan, Oya; Mealy, P. J.; Grant, Dolores; Grant, Rebecca; Harrower, Natalie; Breathnach, Ciara; Collins, Sandra; Decker, Stefan (Springer Verlag, 2015-10-28)
      Semantic Web technologies give us the opportunity to understand today's data-rich society and provide novel means to explore our past. Civil registration records such as birth, death, and marriage registers contain a vast ...

    • 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 ...

    • 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 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; 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 ...

    • Querying over Federated SPARQL Endpoints - A State of the Art Survey 

      Rakhmawati, Nur; Umbrich, Jürgen; Karnstedt, Marcel; Hasnain, Ali; Hausenblas, Michael (2013)
      The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by ...

    • 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 ...

    • S3QL: A distributed domain specific language for controlled semantic integration of life sciences data 

      Deus, Helena (2011)
      Background The value and usefulness of data increases when it is explicitly interlinked with related data. This is the core principle of Linked Data. For life sciences researchers, harnessing the power of Linked Data ...

    • SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge 

      Heitmann, Benjamin; Hayes, Conor (Springer, 2014-10-14)
      SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality ...

    • Teanga: a linked data based platform for natural language processing 

      Ziad, Housam; McCrae, John Philip; Buitelaar, Paul (Language Resources and Evaluation Conference (LREC 2018), 2018-05-07)
      In this paper, we describe Teanga, a linked data based platform for natural language processing (NLP). Teanga enables the use of many NLP services from a single interface, whether the need was to use a single service or ...