Now showing items 229-248 of 544

    • 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 ...
    • JeromeDL - Adding Semantic Web Technologies to Digital Libraries 

      Kruk, Sebastian Ryszard; Decker, Stefan (Springer, 2005)
      In recent years more and more information has been made available on the Web. High quality information is often stored in dedicated databases of digital libraries, which are on their way to become expanding islands of well ...
    • JeromeDL and FOAFRealm - Taking Advantage of Semantic Social Collaborative Filtering in Digital Libraries 

      Kruk, Sebastian Ryszard; Decker, Stefan (2005)
      In this paper, we present FOAFRealm, a user management library based on social networking and FOAF metadata, and its deployment in JeromeDL, a digital library with semantics. We will demonstrate the most important ...
    • Kanopy: Analysing the Semantic Network around Document Topics 

      Hulpus, Ioana; Hayes, Conor; Karnstedt, Marcel; Greene, Derek; Jozwowicz, Marek (Springer, 2013)
      External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes ...
    • Knowledge base completion using distinct subgraph paths 

      Mohamed, Sameh K.; Nováček, Vít; Vandenbussche, Pierre-Yves (ACM, 2018-04-09)
      Graph feature models facilitate efficient and interpretable predictions of missing links in knowledge bases with network structure (i.e. knowledge graphs). However, existing graph feature models-e.g. Subgraph Feature ...
    • Knowledge graph driven approach to represent video streams for spatiotemporal event pattern matching in complex event processing 

      Yadav, Piyush; Salwala, Dhaval; Das, Dibya Prakash; Curry, Edward (World Scientific Publishing, 2020)
      Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over streaming data and match high-level event patterns. Presently, CEP is limited to process structured data stream. Video ...
    • Knowledge portability with semantic expansion of ontology labels 

      Arcan, Mihael; Turchi, Marco; Buitelaar, Paul (Association for Computational Linguistics, 2015-07-26)
      Our research focuses on the multilingual enhancement of ontologies that, often represented only in English, need to be translated in different languages to enable knowledge access across languages. Ontology translation ...
    • Knowledge Sharing and Filtering on Semantic Web 2.0 

      Kruk, Sebastian Ryszard; Gzella, Adam (2007)
      E-learning and other popular services that grow on the fertile soil of the Internet technologies usually fail to reach their full potential. With new, emerging technologies of the second generation Internet there is even ...
    • Knowledge-Based Search for Oncological Literature: Technical Architecture and User Perspectives 

      Nováček, Vít; Groza, Tudor; Handschuh, Siegfried (IEEE, 2009)
      Using the current state of the art in life science publication search (e.g., PubMed), one can efficiently search for resources containing particular key-words or their combinations. It is impossible to search for abstract ...
    • KonneXSALT: First Steps Towards a Semantic Claim Federation Infrastructure 

      Groza, Tudor; Handschuh, Siegfried; Möller, Knud; Decker, Stefan (Springer, 2008)
      Dissemination, an important phase of scientific research, can be seen as a communication process between scientists. They expose and support their findings, while discussing claims stated in related scientific publications. ...
    • Language related issues for machine translation between closely related south Slavic languages 

      Popovic, Maja; Arcan, Mihael; Klubicka, Filip (The COLING 2016 Organizing Committee, 2016-12-12)
      Machine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be ...
    • LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation 

      Saleem, Muhammad; Hasnain, Ali; Ngonga Ngomo, Axel-Cyrille (Elsevier, 2018-01-12)
      Gathering information from the distributed Web of Data is commonly carried out by using SPARQL query federation approaches. However, the fitness of current SPARQL query federation approaches for real applications is difficult ...
    • LD2SD: Linked Data Driven Software Development 

      Iqbal, Aftab; Ureche, Oana-Elena; Hausenblas, Michael; Tummarello, Giovanni (2009)
      In this paper we introduce Linked Data Driven Software Development (LD2SD), a light-weight Semantic Web methodology to turn software artefacts such as data from version control systems, bug tracking tools and source code ...
    • 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 ...
    • Learning from Linked Open Data Usage: Patterns & Metrics 

      Möller, Knud; Hausenblas, Michael; Cyganiak, Richard; Handschuh, Siegfried (2010)
      Although the cloud of Linked Open Data has been growing continuously for several years, little is known about the particular features of linked data usage. Motivating why it is important to understand the usage of Linked ...
    • Learning from Mistakes Results in Increase of Corporate Value 

      Koumpis, Adamantios (Kassel University Press GmbH, 2013)
      In the paper we approach the issue of learningfrom our mistakes from different schools of thought andwith the use of different epistemological metaphors such asthe intellectual capital. We pose emphasis to the relevance ...
    • Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series 

      Rizzo, Giuseppe; Pereira, Bianca; Varga, Andrea; van Erp, Marieke; Cano Basave, Amparo Elizabeth (2017-03-13)
      The large number of tweets generated daily is providing policy makers with means to obtain insights into recent events around the globe in near real-time. The main barrier for extracting such insights is the impossibility ...
    • 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 ...
    • Leveraging Ontologies, Context and Social Networks to Automate Photo Annotation 

      Monaghan, Fergal; O'Sullivan, David (Springer, 2007)
      This paper presents an approach to semi-automate photo an- notation. Instead of using content-recognition techniques this approach leverages context information available at the scene of the photo such as time and location ...
    • Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models 

      Torregrosa, Daniel; Pasricha, Nivranshu; Chakravarth, Bharathi Raja; Masoud, Maraim; Alonso, Juan; Casas, Noe; Arcan, Mihael (NUI Galway, 2019-08-19)
      Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total ...