Now showing items 71-90 of 153

  • Measuring accuracy of triples in knowledge graphs 

    Liu, Shuangyan; d’Aquin, Mathieu; Motta, Enrico (Springer, 2017-06-19)
    An increasing amount of large-scale knowledge graphs have been constructed in recent years. Those graphs are often created from text-based extraction, which could be very noisy. So far, cleaning knowledge graphs are ...
  • Mining cardinalities from knowledge bases 

    Muñoz, Emir; Nickles, Matthias (Springer Verlag, 2017-08-01)
    Cardinality is an important structural aspect of data that has not received enough attention in the context of RDF knowledge bases (KBs). Information about cardinalities can be useful for data users and knowledge engineers ...
  • Modelling User Behaviour in Online Q&A Communities for Customer Support 

    Aumayr, Erik; Hayes, Conor (Springer, 2014)
    [no abstract available]
  • Multi-threading based implementation of ant-colony optimization algorithm for image edge detection 

    Aslam, Asra; Khan, Ekram; Beg, M.M. Sufyan (IEEE, 2015-10-17)
    Ant Colony Optimization (ACO) is a nature inspired algorithm for solving optimization problems and is proved to be a powerfnl tool in image processing. It works on the principle that an ant while moving leaves pheromones ...
  • Multimodal emotion recognition for AVEC 2016 challenge 

    Povolny, Filip; Matejka, Pavel; Hradis, Michal; Popkova, Anna; Otrusina, Lubomir; Smrz, Pavel; Wood, Ian; Robin, Cécile; Lamel, Lori (ACM, 2016-10-16)
    This paper describes a systems for emotion recognition and its application on the dataset from the AV+EC 2016 Emotion Recognition Challenge. The realized system was produced and submitted to the AV+EC 2016 evaluation, ...
  • Multimodal multimodel emotion analysis as linked data 

    Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Sagha, Hesam; Schuller, Björn; Wood, Ian; Buitelaar, Paul (IEEE, 2018-02-01)
    The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting factor ...
  • Multimodal multimodel emotion analysis as linked data 

    Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Sagha, Hesam; Schuller, Björn; Ian D. Wood, Ian D.; Buitelaar, Paul (IEEE, 2017-10-23)
    The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting ...
  • Non-partitioning merge-sort: Performance enhancement by elimination of division in divide-and-conquer algorithm 

    Aslam, Asra; Ansari, Mohd. Samar; Varshney, Shikha (ACM, 2016-03-04)
    The importance of a high performance sorting algorithm with low time complexity cannot be over stated. Several benchmark algorithms viz. Bubble Sort, Insertion Sort, Quick Sort, and Merge Sort, etc. have tried to achieve ...
  • NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity 

    Andryushechkin, Vladimir; Wood, Ian D.; O'Neill, James (Association for Computational Linguistics, 2017-09-08)
    This paper describes the entry NUIG in the WASSA 20171 shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BiLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word ...
  • On a Linked Data platform for Irish historical vital records 

    Debruyne, Christophe (Springer, 2015)
    The Irish Record Linkage 1864-1913 is a multi-disciplinary project aiming to create a platform for analyzing events captured in historical birth, marriage and death records by applying semantic technologies for annotating, ...
  • On developing extraction rules for mining informal scientific references from Altmetric data sources 

    Khawaja, Waqas; Taylor, Michael; Davis, Brian (Springer Verlag, 2015-06-04)
    Altmetrics measure scientific impact outside of traditional scientific literature. We identify mentions of scientific research or entities like researchers, academic or research organizations in a corpus containing blogs, ...
  • On learnability of constraints from RDF data 

    Muñoz, Emir (Springer International Publishing, 2016-05-14)
    RDF is structured, dynamic, and schemaless data, which enables a big deal of flexibility for Linked Data to be available in an open environment such as the Web. However, for RDF data, flexibility turns out to be the source ...
  • On the correlation between topic and user behaviour in online communities 

    Aumayr, Erik; Hayes, Conor (ICWSM-16, 2016-05-20)
    In the advancement of a better understanding of user behaviour on the Internet, clustering approaches are used as a means to group and categorise online communities. Although clustering approaches indicate similarity between ...
  • On The Duality of E-Participation Towards a foundation for Citizen-Led Participation 

    Porwol, Lukasz; Ojo, Adegboyega; Breslin, John (2013)
    What remains unclear after a decade of e-Participation research and practice is the extent to which the social web and informal channels have empowered citizens in government-citizen interactions where government ...
  • On the need of integrating social media channels and open source software repositories 

    Iqbal, Aftab; Decker, Stefan (IEEE, 2015)
    The growing interest in the usage of social media channels have attracted the open source software community to adopt an identity in order to disseminate project-related information to a wider audience. We foresee the need ...
  • On-the-fly generation of multidimensional data cubes for web of things 

    Sahay, Ratnesh; Derguech, Wassim; Curry, Edward (2013)
  • Ontology label translation 

    Arcan, Mihael; Buitelaar, Paul (Association for Computational Linguistics, 2013-06-09)
    Our research investigates the translation of ontology labels, which has applications in multilingual knowledge access. Ontologies are often defined only in one language, mostly English. To enable knowledge access ...
  • An ontology-based approach to improve the accessibility of ROS-based robotic systems 

    Tiddi, Ilaria; Bastianelli, Emanuele; Bardaro, Gianluca; d’Aquin, Mathieu; Motta, Enrico (ACM, 2017-12-04)
    The focus of this work is to exploit ontologies to make robotic systems more accessible to non-expert users, therefore supporting the deployment of robot-integrated applications. Due to the increasing number of robotic ...
  • OTTO - ontology translation system 

    Arcan, Mihael; Asooja, Kartik; Ziad, Housam; Buitelaar, Paul (CEUR-WS.org, 2015-08-11)
    To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. For this reason, we present OTTO, an OnTology TranslatiOn System, which ...