Now showing items 51-70 of 544

    • Building a Heterogeneous Network of Digital Libraries on the Semantic Web 

      Piotrowski, Piotr; Cygan, Mariusz; Kruk, Sebastian Ryszard; Westerski, Adam; Samp, Krystian; Decker, Stefan (2006)
      Ever since computer networks have become popular libraries tend to join into federations. Each federated digital library, apart from delivering discovery and navigation features within their own database allows users to ...
    • Building a Semantic Web Search Engine: Challenges and Solutions 

      Harth, Andreas; Hogan, Aidan; Umbrich, Jürgen; Decker, Stefan (2008)
      Current web search engines return links to documents for user-specified keywords queries. Users have to then manually trawl through lists of links and glean the required information from documents. In contrast, semantic ...
    • Cardamom: Comparative deep models for minority and historical languages 

      McCrae, John Philip; Fransen, Theodorus (Language Technologies for All (LT4All), 2019-12-05)
      This paper gives an overview of the Cardamom project, which aims to close the resource gap for minority and under-resourced languages by means of deep-learning-based natural language processing (NLP) and exploiting ...
    • 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 ...
    • Cataloguing and Linking Life Sciences LOD 

      Hasnain, Ali; Fox, Ronan; Deus, Helena F.; Decker, Stefan (2012)
      The Life Sciences Linked Open Data (LSLOD) Cloud is currently comprised of multiple datasets that add high value to biomedical research. The ability to navigate through these datasets in order to derive and discover new ...
    • Categorising the online communities of stack exchange using quantitative user behaviour features 

      Aumayr, Erik (Insight Centre for Data Analytics, NUI Galway, 2016-03-02)
      Maintaining online communities is vital in order to increase and retain their economic and social value. Before applying any performance altering strategies, it is important to determine the different types of communities, ...
    • Challenges of word sense alignment: Portuguese language resources 

      Salgado, Ana; Ahmadi, Sina; Simões, Alberto; McCrae, John P.; Costa, Rute (National University of Ireland Galway, 2020-05-16)
      This paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese Academy of Sciences Dictionary and the Dicionario Aberto ´ is carried out in the context of the ...
    • Challenges with image event processing: Poster 

      Aslam, Asra; Hasan, Souleiman; Curry, Edward (ACM, 2017-06-19)
      There has been substantial research in the area of event processing where systems are focused on event processing of structured data. However, in the context of smart cities, signi cant number of realtime applications ...
    • Characterising and evaluating online communities from live microblogging user interactions 

      Hromic, Hugo; Hayes, Conor (NUI Galway, 2018-07-03)
      Microblogging (mainly represented by Twitter) is a type of social media that focuses on fast open real-time communication using short messages between users and their followers. This system is attractive due to its open ...
    • 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 ...
    • Classifying sentential modality in legal language: A use case in financial regulations, acts and directives 

      O'Neill, James; Buitelaar, Paul; Robin, Cécile; O'Brien, Leona (ACM, 2017-06-12)
      Texts expressed in legal language are often di cult and time consuming for lawyers to read through, particularly for the purpose of identifying relevant deontic modalities (obligations, prohibitions and permissions). ...
    • CoFiF: A corpus of financial reports in French language 

      Ahmadi, Sina; Daudert, Tobias (NUI Galway, 2019-08-12)
      In an era when machine learning and artificial intelligence have huge momentum, the data demand to train and test models is steadily growing. We introduce CoFiF, the first corpus comprising company reports in the French ...
    • Collaboration on the Social Semantic Desktop 

      Groza, Tudor; Handschuh, Siegfried (2007)
      To accomplish the daily work people use several desktop applications to collaborate with co-workers. Each application is specialized on a specific domain, such as document management, email, or time planning. Although ...
    • Collaboration on the Social Semantic Desktop 

      Groza, Tudor; Handschuh, Siegfried (2007)
      To accomplish the daily work people use several desktop applications to collaborate with co-workers. Each application is specialized on a specific domain, such as document management, email, or time planning. Although the ...
    • 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 ...
    • Combining lexical and spatial knowledge to predict spatial relations between objects in images 

      Hürlimann, Manuela; Bos, Johan (ACL Anthology, 2016-08-11)
      Explicit representations of images are useful for linguistic applications related to images. We design a representation based on first-order models that capture the objects present in an image as well as their spatial ...
    • Community topic usage in social networks 

      Wood, Ian D. (ACM, 2015-10)
      When studying large social media data sets, it is useful to reduce the dimensionality of both the network (e.g. by finding communities) and user-generated data such as text (e.g. using topic models). Algorithms exist for ...
    • A comparative study of different state-of-the-art hate speech detection methods in Hindi-English code-mixed data 

      Rani, Priya; Suryawanshi, Shardul; Goswami, Koustava; Chakravarthi, Bharathi Raja; Fransen, Theodorus; McCrae, John P. (European Language Resources Association (ELRA), 2020-05-11)
      Hate speech detection in social media communication has become one of the primary concerns to avoid conflicts and curb undesired activities. In an environment where multilingual speakers switch among multiple languages, ...