Now showing items 1-12 of 12

  • 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 ...
  • 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 ...
  • A Hybrid Framework for Querying Linked Data Dynamically 

    Umbrich, Jürgen (2012-09-28)
    As of today, the Web has evolved to become the largest collection of information made available by mankind. Researchers and developers are continuously working on transforming this loosely connected data collection into ...
  • Interlinking Personal Semantic Data on the Semantic Desktop and the Web of Data 

    Dragan, Laura Catalina (2012-09-28)
    With the goal of improved Personal Information Management, the Semantic Desktop emerged as a solution to the problem of data fragmentation and disconnection on the desktop. It provides a framework based on Semantic Web ...
  • 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 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 ...
  • Linked data with access control 

    Kirrane, Sabrina (2015-01-29)
    The explosion of digital content and the heterogeneity of enterprise content sources have pushed existing data integration solutions to their boundaries. An alternative solution is to use the Resource Description Framework ...
  • 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 ...