Now showing items 21-40 of 97

    • Edge-AI: Rise of the neural accelerators 

      Corcoran, Peter (EMAI 2019 Emerging Memory and Artificial Intelligence Workshop, 2019-08-29)
      We are at the cusp of a new era in AI. Recently deep learning has revolutionised the field of Computer Vision, disrupting more traditional algorithmic approaches to object recognition, scene analysis and image understanding. ...
    • 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 Trust and Privacy on the Social Web 

      Passant, Alexandre; Hausenblas, Michael; Polleres, Axel; Decker, Stefan (2009)
    • EUREEKA: Deepening the Semantic Web by More Efficient Emergent Knowledge Representation and Processing 

      Nováček, Vít (CEUR-WS, 2008)
      One of the major Semantic Web challenges is the knowledge acquisition bottleneck. New content on the web is produced much faster than the respective machine readable annotations, while a scalable knowledge extraction ...
    • The ExpertFinder Corpus 2007 for the Benchmarking and Development of ExpertFinding Systems 

      Hogan, Aidan; Harth, Andreas (2007)
      We provide a benchmark dataset for expert finding within the computer science domain. We show how large isolated data graphs from disparate structured data sources can be combined to form one, large, well-linked RDF graph ...
    • Exposing Semantic Web Service principles in SOA to solve EAI scenarios 

      Haller, Armin; Gomez, Juan Miguel; Bussler, Christoph (2005)
      Traditional Enterprise Application Integration (EAI) focuses on the integration of application interfaces by pipelining different middle- ware technologies like message queuing or remote method invocations. Web Service ...
    • Fast and Scalable Pattern Mining for Media-Type Focused Crawling 

      Umbrich, Jürgen; Karnstedt, Marcel; Harth, Andreas (2009)
      Search engines targeting content other than hypertext documents require a crawler that discovers resources identifying files of certain media types. Naive crawling approaches do not guarantee a sufficient supply of new ...
    • From Online Community Data to RDF 

      Bojars, Uldis; Breslin, John (2007)
      Large amounts of data are created within online community sites (forums, blogs, etc.). These can serve as a valuable source of information for web users, and usually contain rich meta-information. Most of this information ...
    • Harvesting Desktop Data for Semantic Blogging 

      Möller, Knud; Decker, Stefan (2005)
      A typical computer user¿s desktop contains large amount of formal data, such as addresses, events or bibliopraphies. Especially within a corporate or organizational environment, it is often important to exchange this data ...
    • A hybrid method for rating prediction using linked data features and text reviews 

      Yumusak, Semih; Muñoz, Emir; Minervini, Pasquale; Dogdu, Erdogan; Kodaz, Halife (CEUR-WS.org, 2016)
      This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ...
    • In or out? Real-time monitoring of BREXIT sentiment on Twitter 

      Vasiliu, Laurentiu; Freitas, André; Caroli, Frederico; McDermott, Ross; Zarrouk, Manel; Hürlimann, Manuela; Davis, Brian; Daudert, Tobias; Khaled, Malek Ben; Byrne, David; Fernández, Sergio; Cavallini, Angelo (CEUR Workshop Proceedings, 2016-09-12)
      The SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection ...
    • inContext: A Pervasive and Collaborative Working Environment for Emerging Team Forms 

      Polleres, Axel (2008)
      Participants in current team collaborations belong to different organizations, work on multiple objectives at the same time, and frequently change locations. They use different devices and infrastructures in collaboration ...
    • Integrating Social Networks and Sensor Networks 

      Breslin, John; Decker, Stefan; Hauswirth, Manfred; Hynes, Gearoid; Phuoc, Danh Le; Passant, Alexandre; Polleres, Axel; Rabsch, Cornelius; Reynolds, Vinny (2009)
    • Interlinking Multimedia: How to Apply Linked Data Principles to Multimedia Fragments 

      Hausenblas, Michael (2009)
      In this paper, we introduce interlinking multimedia (iM), a pragmatic way to apply the linked data principles to fragments of multimedia items. We report on use cases showing the need for retrieving and describing multimedia ...
    • JeromeDL - a Semantic Digital Library 

      Kruk, Sebastian Ryszard; Woroniecki, Tomasz; Gzella, Adam; Dabrowski, Maciej (2007)
      JeromeDL is a Semantic Digital Library engine. It uses SemanticWeb and Social Networking technologies to improve browsing and searching for resources. With JeromeDL¿s social and semantic services every library user ...
    • Learning content patterns from linked data 

      Muñoz, Emir (CEUR-WS.org, 2014)
      Linked Data (LD) datasets (e.g., DBpedia, Freebase) are used in many knowledge extraction tasks due to the high variety of domains they cover. Unfortunately, many of these datasets do not provide a description for their ...
    • Leveraging existing web frameworks for a SIOC explorer to browse online social communities 

      Heitmann, Benjamin; Oren, Eyal (2007)
      Since online SemanticWeb applications are based on existing Web infrastructure, developing these applications could leverage experiences with and infrastructure of existing frameworks. These frameworks need to be extended ...
    • A linked data-based decision tree classifier to review movies 

      Aldarra, Suad; Muñoz, Emir (CEUR-WS.org, 2015)
      In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ...
    • Linked Open Data in Sensor Data Mashups 

      Phuoc, Danh Le; Hauswirth, Manfred (CEUR, 2009)
      Sensors and the real-time data they produce are novel sources of information which need to be integrated into the Semantic Web at very large scale. Most of the time such data is locked inside specific applications and only ...