Now showing items 56-75 of 307

    • Developing a Dataset for Technology Structure Mining 

      QasemiZadeh, Behrang; Buitelaar, Paul; Monaghan, Fergal (IEEE, 2010)
      This paper describes steps that have been taken to construct a development dataset for the task of Technology Structure Mining. We have defined the proposed task as the process of mapping a scientific corpus into a ...
    • The Development of A Realistic Simulation Framework with OMNeT++ 

      Shu, Lei (IEEE, 2008)
      It is necessary to use simulation tools in the study of wireless network. The object-oriented modular discrete event network simulator, OMNeT++, can not only afford many network simulation but has strong GUI support and ...
    • Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case 

      Iqbal, Aftab (2014)
      A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical facts linked together forming an interlinked Web of Clinical Data . However, tools for new publishers ...
    • Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach 

      Zaremba, Maciej; Migdal, Jacek; Hauswirth, Manfred (IEEE, 2009)
      We present a Semantic Optimized Service Discovery (Se- mOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic service descriptions with statistically built ...
    • Do city dashboards make sense? Conceptualising user experiences and challenges in using city dashboards. A case study 

      Vornhagen, Heike; Zarrouk, Manel; Davis, Brian; Young, Karen (Association for Computing Machinery (ACM), 2021-06-09)
      City dashboards present information about a city to a broad audience with some thought given as to how some of these audiences might understand the information. However, little research has looked at how ’citizens’ make ...
    • Domain-independent term extraction through domain modelling 

      Bordea, Georgeta; Buitelaar, Paul; Polajnar, Tamara (10th International Conference on Terminology and Artificial Intelligence, 2013-09-11)
      Extracting general or intermediate level terms is a relevant problem that has not received much attention in literature. Current approaches for term extraction rely on contrastive corpora to identify domain-specific terms, ...
    • A DRM Solution Based on Social Networks and Enabling the Idea of Fair Use 

      Grzonkowski, Slawomir; Ensor, Brian; Kruk, Sebastian Ryszard; Gzella, Adam; Decker, Stefan; McDaniel, Bill (2007)
      Fair use policy allows legal owners to share products they bought with their acquaintance; it is based on the assumptions that the owners pass an original product and they cannot use it at the same time. In the digital ...
    • Drug target discovery using knowledge graph embeddings 

      Mohamed, Sameh K.; Nováček, Vít; Nounu, Aayah (Association for Computing Machinery, 2019-04-08)
      The field of drug discovery has entered a plateau stage lately. It is increasingly more expensive and time-demanding to introduce new drugs into the market. One of the main reasons is the slow progress in finding novel ...
    • Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes 

      Krennwallner, Thomas; Martello, Alessandra; Polleres, Axel (Springer, 2009)
      RDF Schema (RDFS) as a lightweight ontology language is gaining popularity and, consequently, tools for scalable RDFS inference and querying are needed. SPARQL has become recently aW3C standard for querying RDF data, ...
    • Dynamic Service Discovery through Meta-Interactions with Service Providers 

      Vitvar, Tomas; Zaremba, Maciej; Moran, Matthew (Springer, 2007)
      Dynamic discovery based on semantic description of services is an essential aspect of the Semantic Web services integration process. Since not all data required for service discovery can always be included in service ...
    • E-learning based on the Social Semantic Information Sources 

      Westerski, Adam; Kruk, Sebastian Ryszard; Samp, Krystian; Woroniecki, Tomasz; Czaja, Filip; O'Nuallain, Caoimhin (2006)
      E-Learning is no longer just about the materials burned on CD-ROMs and sent across the country. With the potential offered by the Internet, there are new on-line courses emerging every day. However successful they are, ...
    • E-learning based on the Social Semantic Information Sources 

      Westerski, Adam; Kruk, Sebastian Ryszard; Samp, Krystian; Woroniecki, Tomasz; Czaja, Filip; O'Nuallain, Caoimhin (2006)
      E-Learning is no longer just about the materials burned on CD-ROMs and sent across the country. With the potential offered by the Internet, there are new on-line courses emerging every day. However successful they are, ...
    • E-Learning on the Social Semantic Information Sources 

      Kruk, Sebastian Ryszard; Gzella, Adam; Dobrzanski, Jaroslaw; McDaniel, Bill; Woroniecki, Tomasz (2007)
      E-Learning grows on the fertile soil of the Internet technologies; it fails, however, to reach their full potential. With new, emerging technologies of the second generation Internet there is even more to be captured and ...
    • Edge2Train: A framework to train machine learning models (SVMs) on resource-constrained IoT edge devices 

      Sudharsan, Bharath; Breslin, John G.; Ali, Muhammad Intizar (Association for Computing Machinery (ACM), 2020-10-06)
      In recent years, ML (Machine Learning) models that have been trained in data centers can often be deployed for use on edge devices. When the model deployed on these devices encounters unseen data patterns, it will either ...
    • An Eigenvalue-Based Measure for Word-Sense Disambiguation 

      Hulpus, Ioana; Hayes, Conor; Greene, Derek (FLAIRS 2012, 2012)
      Current approaches for word-sense disambiguation (WSD) try to relate the senses of the target words by optimizing a score for each sense in the context of all other words' senses. However, by scoring each sense separately, ...
    • The ELEXIS interface for interoperable lexical resources 

      McCrae, John P.; Tiberius, Carole; Khan, Anas Fahad; Kernerman, Ilan; Declerck, Thierry; Krek, Simon; Monachini, Monica; Ahmadi, Sina (eLex 2019, 2019-10-01)
      ELEXIS is a project that aims to create a European network of lexical resources, and one of the key challenges for this is the development of an interoperable interface for different lexical resources so that further ...
    • Enabling machine learning on the edge using SRAM conserving efficient neural networks execution approach 

      Sudharsan, Bharath; Patel, Pankesh; Breslin, John G.; Ali, Muhammad Intizar (National University of Ireland Galway, 2021-09-13)
      Edge analytics refers to the application of data analytics and Machine Learning (ML) algorithms on IoT devices. The concept of edge analytics is gaining popularity due to its ability to perform AI-based analytics at the ...
    • Engineering an aligned gold-standard corpus of human to machine oriented Controlled Natural Language 

      Hazem Safwat; Brian Davis; Manel Zarrouk (IEEE, 2018-12-03)
      Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. While the abundance of unstructured text helps ...
    • Enhancing statistical machine translation with bilingual terminology in a CAT environment 

      Arcan, Mihael; Turchi, Marco; Tonelli, Sara; Buitelaar, Paul (Association for Machine Translation in the Americas, 2014-10-22)
      In this paper, we address the problem of extracting and integrating bilingual terminology into a Statistical Machine Translation (SMT) system for a Computer Aided Translation (CAT) tool scenario. We develop a framework ...
    • Enrichment of blockchain transaction management with semantic triples 

      Yapa Bandara, Kosala; Thakur, Subhasis; Breslin, John (National University of Ireland Galway, 2020-11-02)
      Abstract—Enterprise business transactions have both public and private information; hence blockchain adaptation to an enterprise business application needs current blockchain platforms to support both public and private ...