Now showing items 1-20 of 39

  • The colloquial WordNet: Extending Princeton WordNet with neologisms 

    McCrae, John P.; Wood, Ian D.; HIcks, Amanda (Springer International Publishing, 2017-05-27)
    Princeton WordNet is one of the most important resources for natural language processing, but has not been updated for over ten years and is not suitable for analyzing the fast moving language as used on social media. We ...
  • Privacy, security and policies: A review of problems and solutions with semantic web technologies 

    Kirrane, Sabrina; Villata, Serena; d’Aquin, Mathieu (IOS Press, 2018)
    Semantic Web technologies aim to simplify the distribution, sharing and exploitation of information and knowledge, across multiple distributed actors on the Web. As with all technologies that manipulate information, there ...
  • Facilitating scientometrics in learning analytics and educational data mining - The LAK dataset 

    Dietze, Stefan; Taibi, Davide; d’Aquin, Mathieu (IOS Press, 2016-11-06)
    The Learning Analytics and Knowledge (LAK) Dataset represents an unprecedented corpus which exposes a near complete collection of bibliographic resources for a specific research discipline, namely the connected areas of ...
  • Abstract A27: A linked data approach to discover HPV oncoprotiens and RB1 induced mutation associations for the retinoblastoma research 

    Jha, Alokkumar; Khan, Yasar; Rebholz-Schumann, Dietrich; Sahay, Ratnesh (American Association for Cancer Research, 2017-01)
    Background: LOSS or GAIN in tumor suppressor gene RB1 play a significant role as in case of loss low penetrance where only 39% of eye at risk develops in retinoblastoma. This research covers the multiple mutation types and ...
  • A linked data visualiser for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Jares, Joao; Freitas, Andre; Jha, Alok Kumar; Sakellarios, Antonis; Sahay, Ratnesh (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 ...
  • Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data 

    Jha, Alokkumar; Khan, Yasar; Mehdi, Muntazir; Karim, Md Rezaul; Mehmood, Qaiser; Zappa, Achille; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (BioMed Central, 2017-09-19)
    Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing a massive amount of sequencing datasets. Often, these datasets ...
  • Improving data workflow systems with cloud services and use of open data for bioinformatics research 

    Karim, Md. Rezaul; Michel, Audrey; Zappa, Achille; Baranov, Pavel; Sahay, Ratnesh; Rebholz-Schuhmann, Dietrich (Oxford University Press, 2017-04-16)
    Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data access and data analytics, and to share the final data analytics approach with their collaborators. Increasingly, such systems ...
  • Advancing clinical research by semantically interconnecting aggregated medical data information in a secure context 

    Antoniades, Athos; Aristodimou, Aristos; Georgousopoulo, Christos; Forgó, Nikolaus; Gledson, Ann; Hasapis, Panagiotis; Vandeleur, Caroline; Perakis, Konstantinos; Sahay, Ratnesh; Mehdi, Muntazir; Demetriou, Christiana A.; Strippoli, Marie-Pierre F.; Giotaki, Vasiliki; Ioannidi, Myrto; Tian, David; Tozzi, Federica; Keane, John; Pattichis, Constantinos (Springer Verlag, 2017-03-22)
    Electronic Health Records (EHRs) contain an increasing wealth of medical information. When combined with molecular level data, they enhance the understanding of the underlying biological mechanisms of diseases, enabling ...
  • Where to search top-K biomedical ontologies? 

    Oliveira, Daniela; Butt, Anila Sahar; Haller, Armin; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (Oxford University Press, 2018-03-20)
    Motivation Searching for precise terms and terminological definitions in the biomedical data space is problematic, as researchers find overlapping, closely related and even equivalent concepts in a single or multiple ...
  • SAFE: SPARQL federation over RDF data cubes with access control 

    Khan, Yasar; Saleem, Muhammad; Mehdi, Muntazir; Hogan, Aidan; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (BioMed Central, 2017-02-01)
    Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; ...
  • A comparison of emotion annotation approaches for text 

    Wood, Ian D.; McCrae, John P.; Andryushechkin, Vladimir; Buitelaar, Paul (MDPI, 2018-05-11)
    While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of a more nuanced affect has received less attention: there ...
  • Social impact assessment of scientist from mainstream news and weblogs 

    Timilsina, Mohan; Khawaja, Waqas; Davis, Brian; Taylor, Mike; Hayes, Conor (Springer Verlag, 2017-10-14)
    Research policy makers, funding agencies, universities and government organizations evaluate research output or impact based on the traditional citation count, peer review, h-index and journal impact factors. These impact ...
  • A case study of collecting dynamic social data: The pro-ana twitter community 

    Wood, Ian (Australian National University, College of Engineering and Computer Science, Department of Computer Science, 2015)
    The study of social processes in on-line social media content is a relatively new and rapidly growing endeavour. Many social media platforms provide a public API (Application Programming Interface) which can be used for ...
  • Improved edge detection algorithm for brain tumor segmentation 

    Aslam, Asra; Khan, Ekram; Beg, M.M. Sufyan (Elsevier, 2015-08-21)
    Image segmentation is used to separate objects from the background, and thus it has proved to be a powerful tool in bio-medical imaging. In this paper, an Improved Edge Detection algorithm for brain-tumor segmentation is ...
  • Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models 

    Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Oxford University Press (OUP), 2017-08-18)
    Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug ...
  • 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 ...