Now showing items 60-79 of 153

  • Kanopy: Analysing the Semantic Network around Document Topics 

    Hulpus, Ioana; Hayes, Conor; Karnstedt, Marcel; Greene, Derek; Jozwowicz, Marek (Springer, 2013)
    External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes ...
  • Knowledge portability with semantic expansion of ontology labels 

    Arcan, Mihael; Turchi, Marco; Buitelaar, Paul (Association for Computational Linguistics, 2015-07-26)
    Our research focuses on the multilingual enhancement of ontologies that, often represented only in English, need to be translated in different languages to enable knowledge access across languages. Ontology translation ...
  • Language related issues for machine translation between closely related south Slavic languages 

    Popovic, Maja; Arcan, Mihael; Klubicka, Filip (The COLING 2016 Organizing Committee, 2016-12-12)
    Machine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be ...
  • Linguistic linked data for sentiment analysis 

    Buitelaar, Paul; Arcan, Mihael; Iglesias, Carlos A.; Sánchez-Rada, Juan Fernando; Strapparava, Carlo (Association for Computational Linguistics, 2013-09-23)
    In this paper we describe the specification of a model for the semantically interoperable representation of language resources for sentiment analysis. The model integrates ‘lemon’, an RDF-based model for the specification ...
  • Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery 

    Hasnain, Ali; Kamdar, Maulik; Deus, Helena; Mehdi, Muntazir; Decker, Stefan (Springer, 2014)
    The increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance information discovery. As ...
  • Linked cancer genome atlas database 

    Padmanabhuni, Shanmukha S.; Decker, Stefan (2013)
  • Linked data cased multi-omics integration and visualization for cancer decision networks 

    Jha, Alokkumar; Khan, Yasar; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (Springer Verlag, 2018-12-30)
    Visualization of Gene Expression (GE) is a challenging task since the number of genes and their associations are difficult to predict in various set of biological studies. GE could be used to understand tissue-gene-protein ...
  • A linked data platform for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Decker, Stefan; Sahay, Ratnesh (ACM, 2015-09-16)
    Biosimulation models have been recently introduced to understand the exact causative factors that give rise to impairment in human organs. Finite Element Method (FEM) provides a mathematical framework to simulate dynamic ...
  • A linked data visualiser for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Raza, Saleem; Hasapis, Panagiotis; Sahay, Ratnesh (IEEE, 2016-02-04)
    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 ...
  • Linked functional annotation for differentially expressed gene (DEG) demonstrated using Illumina Body Map 2.0 

    Jha, Alokkumar; Khan, Yasar; Iqbal, Aftab; Zappa, Achille; Mehdi, Muntazir; Sahay, Ratnesh; Rebholz-Schuhmann, Dietrich (CEUR-WS.org, 2015-12-09)
    Semantic Web technologies are core for the integration of disparate data resources. It can be used to exploit data from next generation sequencing (NGS) for therapeutic decisions regarding cancer. In this manuscript, ...
  • Linking knowledge graphs across languages with semantic similarity and machine translation 

    McCrae, John P.; Arcan, Mihael; Buitelaar, Paul (MLP 2017, 2017-09-04)
    Knowledge graphs and ontologies underpin many natural language processing applications, and to apply these to new languages, these knowledge graphs must be translated. Up until now, this has been achieved either by direct ...
  • 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 ...