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    AuthorSahay, Ratnesh (9)Curry, Edward (6)Buitelaar, Paul (5)Hayes, Conor (5)Iqbal, Aftab (5)... View MoreSubjectLinked data (14)Linked Data (7)RDF (5)SPARQL (5)Semantic Web (4)... View MoreDate Issued2019 (3)2018 (6)2017 (9)2016 (4)2015 (2)TypeArticle (44)Book chapter (9)Conference Paper (8)

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    Now showing items 1-10 of 61

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    Semantic representation and enrichment of information retrieval experimental data 

    Bordea, Georgeta; Buitelaar, Paul (Springer Berlin Heidelberg, 2016-05-28)
    Experimental evaluation carried out in international large-scale campaigns is a fundamental pillar of the scientific and technological advancement of information retrieval (IR) systems. Such evaluation activities produce ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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