Now showing items 5-24 of 72

    • 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 ...
    • Beyond the PDF [At the Event report] 

      Schneider, Jodi (2011)
      'Beyond the PDF' brought together around 80 people to the University of California San Diego to discuss scholarly communication, primarily in the sciences. The main topic: How can we apply emergent technologies to improve ...
    • 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 ...
    • Big linked cancer data: Integrating linked TCGA and PubMed 

      Kamdar, Maulik R.; Iqbal, Aftab; Sampath, Shanmuka (Elsevier ScienceDirect, 2014-07-16)
      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 ...
    • Biological applications of knowledge graph embedding models 

      Mohamed, Sameh K.; Nounu, Aayah; Nováček, Vít (Oxford University Press (OUP), 2020-02-17)
      Complex biological systems are traditionally modelled as graphs of interconnected biological entities. These graphs, i.e. biological knowledge graphs, are then processed using graph exploratory approaches to perform different ...
    • 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 ...
    • Churn in Social Networks 

      Karnstedt, Marcel; Hennessy, Tara; Chan, Jeffrey; Basuchowdhuri, Partha; Hayes, Conor (Springer, 2010)
      Telcom networks, online gaming communities, online communities and discussion forums all have one thing in common: they all can be represented by a network of the social links between people. The links in this social network ...
    • A collaborative methodology for developing a semantic model for interlinking Cancer Chemoprevention linked-data sources 

      Zeginis, Dimitris; Hasnain, Ali; Loutas, Nikolaos; Deus, Helena; Fox, Ronan; Tarabanisa, Konstantinos (IOS press, 2013)
                                 This paper proposes a collaborative methodology for developing semantic data models. The proposed methodology for the semantic model development follows a meet-in-the-middle approach. On the ...
    • 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 ...
    • 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 ...
    • A decade of Semantic Web research through the lenses of a mixed methods approach 

      Kirrane, Sabrina; Sabou, Marta; Fernandez, Javier D.; Osborne, Francesco; Robin, Cécile; Buitelaar, Paul; Motta, Enrico; Polleres, Axel (IOS Press, 2019-06-20)
      The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily ...
    • Discovering protein drug targets using knowledge graph embeddings 

      Mohamed, Sameh K.; Nováček, Vít; Nounu, Aayah (Oxford University Press, 2019-08-01)
      Motivation Computational approaches for predicting drug-target interactions (DTIs) can provide valuable insights into the drug mechanism of action. DTI predictions can help to quickly identify new promising (on-target) ...
    • Embedding non-ground logic programs into autoepistemic logic for knowledge base combination 

      Polleres, Axel (2011)
      In the context of the Semantic Web, several approaches to the combination of ontologies, given in terms of theories of classical first-order logic and rule bases, have been proposed. They either cast rules into classical ...
    • Establishing a distributed system for the simple representation and integration of diverse scientific assertions 

      Samwald, Matthias; Stenzhorn, Holger (Biomed Central, 2011)
      Information technology has the potential to increase the pace of scientific progress by helping researchers in formulating, publishing and finding information. There are numerous projects that employ ontologies and Semantic ...
    • Evaluation of Technology Term Recognition with Random Indexing 

      QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
      In this paper, we propose a method that combines the principles of automatic term recognition and the distributional hypothesis to identify technology terms from a corpus of scientific publications. We employ the ...
    • Extracting Information for Context-aware Meeting Preparation 

      Simon Scerri and Behrang QasemiZadeh and Maciej Dabrowski and Ismael Rivera (2014)
      People working in an office environment suffer from large volumes of information that they need to manage and access. Frequently, the problem is due to machines not being able to recognise the many implicit relationships ...
    • Eye of the Tiger 

      Nováček, Vít; Groza, Tudor; Handschuh, Siegfried; Decker, Stefan (2009)