Recent Submissions

  • Soft cardinality constraints on XML data: How exceptions prove the business rule 

    Ferrarotti, Flavio; Hartmann, Sven; Link, Sebastian; Marin, Mauricio; Muñoz, Emir (Springer Verlag, 2013)
    We introduce soft cardinality constraints which need to be satisfied on average only, and thus permit violations in a controlled manner. Starting from a highly expressive but intractable class, we establish a fragment that ...
  • SPORTAL: Profiling the Content of Public SPARQL Endpoints 

    Hasnain, Ali; Mehmood, Qaiser; Sana e Zainab, Syeda; Hogan, Aidan (IGI Global, 2016)
    Access to hundreds of knowledge bases has been made available on the Web through public SPARQL endpoints. Unfortunately, few endpoints publish descriptions of their content (e.g., using VoID). It is thus unclear how agents ...
  • 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 ...
  • The finite implication problem for expressive XML keys: Foundations, applications, and performance evaluation 

    Ferrarotti, Flavio; Hartmann, Sven; Link, Sebastian; Marin, Mauricio; Muñoz, Emir (Springer, 2013)
    The increasing popularity of XML for persistent data storage, processing and exchange has triggered the demand for efficient algorithms to manage XML data. Both industry and academia have long since recognized the importance ...
  • TopFed: TCGA tailored federated query processing and linking to LOD 

    Padmanabhuni, Shanmukha S.; Iqbal, Aftab; Decker, Stefan (BioMed Central, 2014-12-03)
    Backgroud: The Cancer Genome Atlas (TCGA) is a multidisciplinary, multi-institutional effort to catalogue genetic mutations responsible for cancer using genome analysis techniques. One of the aims of this project is to ...
  • Big linked cancer data: Integrating linked TCGA and PubMed 

    Kamdar, Maulik R.; Iqbal, Aftab; Sampath, Shanmuka (Elsevier ScienceDirect, 2014-07-16)
    The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...
  • 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 ...
  • Approximate Semantic Matching of Events for the Internet of Things 

    Hasan, Souleiman; Curry, Edward (ACM, 2014-07-01)
    Event processing follows a decoupled model of interaction in space, time, and synchronization. However,another dimension of semantic coupling also exists and poses a challenge to the scalability of event processing systems ...
  • Thematic Event Processing 

    Hasan, Souleiman; Curry, Edward (ACM, 2014-12-08)
    Event-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of ...
  • A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning 

    Hulpus, Ioana; Hayes, Conor (Springer, 2014)
    Personalised recommender systems receive growing attention from researchers of technology enhanced learning. The learning domain has a great need for personalisation as there is a general consensus that instructional ...
  • Big linked cancer data: Integrating linked TCGA and PubMed 

    Saleem, M; Kamdar, M; Iqbal, A; Sampath, S; Deus, H; Ngomo, A (Elsevier, 2014-07-07)
    The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...
  • Understanding Contributor to Developer Turnover Patterns in OSS Projects: A Case Study of Apache Projects 

    Iqbal, Aftab (Hindawi Publishing Corporation, 2014-01-19)
    OSS projects are dynamic in nature. Developers contribute to a project for a certain period of time and later leave the project or join other projects of high interest. Hence, the OSS community always welcomes members who ...
  • RDFS & OWL Reasoning for Linked Data 

    Hogan, Aidan; Delbru, Renaud; Umbrich, Jurgen (na, 2013)
    Linked Data promises that a large portion of Web Data will be usable as one big interlinked RDF database against which structured queries can be answered. In this lecture we will show how reasoning - using RDF Schema (RDFS) ...
  • A Formal Investigation of Semantic Interoperability of HCLS Systems 

    Sahay, Ratnesh; Zimmermann, Antoine; Fox, Ronan; Polleres, Axel; Hauswirth, Manfred (IGI Global, 2013-06)
    Semantic interoperability facilitates Health Care and Life Sciences (HCLS) systems in connecting stakeholders at various levels as well as ensuring seamless use of healthcare resources. Their scope ranges from local to ...
  • Extracting Information for Context-aware Meeting Preparation 

    Simon Scerri and Behrang QasemiZadeh and Maciej Dabrowski and Ismael Rivera (2014)
    People working in an office environment suffer from large volumes of information that they need to manage and access. Frequently, the problem is due to machines not being able to recognise the many implicit relationships ...
  • Evaluation of Technology Term Recognition with Random Indexing 

    QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
    In this paper, we propose a method that combines the principles of automatic term recognition and the distributional hypothesis to identify technology terms from a corpus of scientific publications. We employ 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 ...

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