Now showing items 126-145 of 544

    • 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 ...
    • Edge2Guard: Botnet attacks detecting offline models for resource-constrained IoT devices 

      Sudharsan, Bharath; Sundaram, Dineshkumar; Patel, Pankesh; Breslin, John G.; Ali, Muhammad Intizar (National University of Ireland Galway, 2021-03-22)
      In today's IoT smart environments, dozens of MCU-based connected device types exist such as HVAC controllers, smart meters, smoke detectors, etc. The security conditions for these essential IoT devices remain unsatisfactory ...
    • 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 ...
    • 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 ...
    • An Empirical Investigation of Networks in the Blogosphere 

      Bojars, Uldis; Harth, Andreas; Kinsella, Sheila (2007)
      We seek out to investigate the social networks manifested in weblogs. Our dataset, derived from an initial list of URIs, consists of 3.9M files in XML or RDF format, totaling over 400M statements in RDF. We continue ...
    • Enabling case-based reasoning on the web of data 

      Heitmann, Benjamin; Hayes, Conor (2010-07-20)
      While Case-based reasoning (CBR) has successfully been deployed on the Web, its data models are typically inconsistent with existing information infrastructure and standards. In this paper, we examine how CBR can operate ...
    • 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 ...
    • Enabling Trust and Privacy on the Social Web 

      Passant, Alexandre; Hausenblas, Michael; Polleres, Axel; Decker, Stefan (2009)
    • End-to-end tracing and congestion in a blockchain: A supply chain use case in hyperledger fabric 

      Yapa Bandara, Kosala; Thakur, Subhasis; Breslin, John G. (IGI Global, 2021)
      Modern supply chain applications are complex systems that play an important role in many different sectors. Supply chain management systems are implemented to handle increasing complexity and flows of goods. However, most ...
    • 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 multiple-choice question answering with causal knowledge 

      Dalal, Dhairya; Arcan, Mihael; Buitelaar, Paul (Association for Computational Linguistics, 2021-06-10)
      The task of causal question answering aims to reason about causes and effects over a provided real or hypothetical premise. Recent approaches have converged on using transformer-based language models to solve question ...
    • 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 ...
    • Entailment for Domain-restricted RDF 

      Polleres, Axel (Springer, 2008)
      We introduce domain-restricted RDF (dRDF) which allows to associate an RDF graph with a fixed, finite domain that interpretations for it may range over. We show that dRDF is a real extension of RDF and discuss impacts on ...
    • Entity Linking with Multiple Knowledge Bases: An Ontology Modularization Approach 

      Pereira, Bianca (Springer, 2014-10-19)
      The recognition of entities in text is the basis for a series of applications. Synonymy and Ambiguity are among the biggest challenges in identifying such entities. Both challenges are addressed by Entity Linking, the task ...
    • enVision: An integrated approach towards Semantic Authoring 

      Groza, Tudor; Handschuh, Siegfried; Decker, Stefan (2006)
      Writing is one of the most common activities of a researcher. And since, the writing process is not only about writing, but also about researching the background of the domain or collecting the necessary references, we ...