Now showing items 1-20 of 215

  • 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 ...
  • Accurate Bayesian prediction of cardiovascular-related mortality using ambulatory blood pressure measurements 

    O'Neill, James; Madden, Michael G.; Dolan, Eamon (Springer Cham, 2017-05-30)
    Hypertension is the leading cause of cardiovascular-related mortality (CVRM), affecting approximately 1 billion people worldwide. To enable patients at significant risk of CVRM to be treated appropriately, it is essential ...
  • The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics 

    QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
    This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification of terms from literature in the domain of computational linguistics. The dataset is derived from the Association for Computational ...
  • The ACL RD-TEC: Annotation Guideline (Ver 1.0) 

    QasemiZadeh, Behrang (Insight Centre for Data Analytics, 2014)
    Annotation Guidelines for the ACL RD-TEC (ver 1.0) is set out in this document. The annotator is required to understand the meaning of term, technology term, and invalid term before commencing the annotation task. A de ...
  • 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 ...
  • AFEL-Analytics for Everyday Learning 

    d’Aquin, Mathieu; Kowald, Dominik; Fessl, Angela; Lex, Elisabeth; Thalmann, Stefan (ACM, 2018-04-23)
    The goal of AFEL is to develop, pilot and evaluate methods and applications, which advance informal/collective learning as it surfaces implicitly in online social environments. The project is following a multi-disciplinary, ...
  • AFEL: Towards measuring online activities contributions to self-directed learning 

    d’Aquin, Mathieu; Adamou, Alessandro; Dietze, Stefan; Fetahu, Besnik; Gadiraju, Ujwal; Hasani-Mavriqi, Ilire; Holtz, Peter; Kimmerle, Joachim; Kowald, Dominik; Lex, Elisabeth; López Sola, Susana; Maturana, Ricardo A.; Sabol, Vedran; Troullinou, Pinelopi; Veas, Eduardo (CEUR-WS.org, 2017-09-12)
    More and more learning activities take place online in a selfdirected manner. Therefore, just as the idea of self-tracking activities for fitness purposes has gained momentum in the past few years, tools and methods for ...
  • Analysing and improving embedded markup of learning resources on the web 

    Dietze, Stefan; Taibi, Davide; Yu, Ran; Barker, Phil; d’Aquin, Mathieu (ACM, 2017-04-03)
    Web-scale reuse and interoperability of learning resources have been major concerns for the technology-enhanced learning community. While work in this area traditionally focused on learning resource metadata, provided ...
  • Analyzing Social Behavior of Software Developers Across Different Communication Channels 

    Iqbal, Aftab (2013)
    Software developers use different project repositories (i.e., mailing list, bug tracking repositories, discussion forums etc.) to interact with each other or to solve software related problems. The growing interest in 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 ...
  • 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 ...
  • Asistent -- a machine translation system for Slovene, Serbian and Croatian 

    Arcan, Mihael; Popovic, Maja; Buitelaar, Paul (University of Ljubljana, 2016-09-29)
    The META-NET research on language technologies in 2012 showed a weak support on tools for crossing the language barrier for many European languages, including the south Slavic languages. Therefore, we describe a statistical ...
  • Assessing FAIR data principles against the 5-Star open data principles 

    Hasnain, Ali; Rebholz-Schuhmann, Dietrich (Springer Verlag, 2018-08-02)
    Access to biomedical data is increasingly important to enable data driven science in the research community. The Linked Open Data (LOD) principles (by Tim Berner-Lee) have been suggested to judge the quality of data by its ...
  • Automatic enrichment of terminological resources: the IATE RDF example 

    Arcan, Mihael; Montiel-Ponsoda, Elena; McCrae, John P.; Buitelaar, Paul (European Language Resources Association, 2018-05-07)
    Terminological resources have proven necessary in many organizations and institutions to ensure communication between experts. However, the maintenance of these resources is a very time-consuming and expensive process. ...
  • Automatic taxonomy generation: a use-case in the legal domain 

    Robin, Cécile; O'Neill, James; Buitelaar, Paul (LTC'17, 8th Language & Technology Conference, 2017-11-17)
    A key challenge in the legal domain is the adaptation and representation of the legal knowledge expressed through texts, in order for legal practitioners and researchers to access this information more easily and faster ...
  • Avtomatsko pridobivanje besednih zvez iz korpusa z uporabo leksikona SSJ 

    Arhar Holdt, Špela; Arcan, Mihael (Centre for Slovene as a Second and Foreign Language, Univerity of Ljubljana, 2011-11-17)
    The field of computational lexicography is an interdisciplinary field, primarily focusing on the automatisation of lexicographic procedures and the building of lexical databases of various kinds. In this paper we describe ...
  • Benchmarking Domain-Specific Expert Search Using Workshop Program Committees 

    Bordea, Georgeta; Buitelaar, Paul (ACM, 2013)
    Traditionally, relevance assessments for expert search have been gathered through self-assessment or based on the opinions of co-workers. We introduce three benchmark datasets1 for expert search that use conference workshops ...
  • 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 ...