Now showing items 1-18 of 18

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Four Heuristics to Guide Structured Content Crawling 

      Umbrich, Jürgen; Harth, Andreas; Hogan, Aidan; Decker, Stefan (2008)
      Search engines focusing on particular media types face difficulties in discovering suitable URIs on the Web. Since the engines are only interested in a small fraction of the Web, a crawler should use heuristics to concentrate ...
    • An Interactive Map of Semantic Web Ontology Usage 

      Kinsella, Sheila; Bojars, Uldis; Harth, Andreas; Breslin, John; Decker, Stefan (IEEE, 2008)
      Publishing information on the Semantic Web using common formats enables data to be linked together, integrated and reused. In order to fully leverage the potential for interlinking data by reusing existing schemas, an ...
    • Linked Data Driven Information Systems as an enabler for Integrating Financial Data 

      O'Riain, Sean; Harth, Andreas; Curry, Edward (IGI Global, 2011)
      With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information ...
    • Performing Object Consolidation on the Semantic Web Data Graph 

      Hogan, Aidan; Harth, Andreas; Decker, Stefan (2007)
      An important aspect of Semantic Web technologies is the issue of identity and uniquely identifying resources, which is essential for integrating data across sources. Currently, there is poor agreement on the use of ...
    • Podcast Pinpointer: A Multimedia Semantic Web Application 

      Hogan, Aidan; Harth, Andreas; Breslin, John (IEEE, 2005)
      In late 2004, a new method of publishing multimedia broadcasts on the Internet became popular called `Podcasting¿. Podcasting incorporates existing feed description formats, namely RSS 2.0, to ...
    • ReConRank: A Scalable Ranking Method for Semantic Web Data with Context 

      Hogan, Aidan; Harth, Andreas; Decker, Stefan (2006)
      We present an approach that adapts the well-known PageRank/HITS algorithms to Semantic Web data. Our method combines ranks from the RDF graph with ranks from the context graph, i.e. data sources and their linkage. We present ...
    • SAOR: Authoritative Reasoning for the Web 

      Hogan, Aidan; Harth, Andreas; Polleres, Axel (Springer, 2008)
      In this paper we discuss the challenges of performing reasoning on large scale RDF datasets from the Web. We discuss issues and practical solutions relating to reasoning over web data using a rule-based approach to ...
    • Scalable Authoritative OWL Reasoning for the Web 

      Hogan, Aidan; Harth, Andreas; Polleres, Axel (2009)
    • Scalable Authoritative OWL Reasoning on a Billion Triples 

      Hogan, Aidan; Harth, Andreas; Polleres, Axel (2008)
      In this paper we present a scalable algorithm for performing a subset of OWL reasoning over web data using a rule-based approach to forward-chaining; in particular, we identify the problem of ontology hijacking: new ...
    • SWSE: Answers Before Links! 

      Harth, Andreas; Hogan, Aidan; Delbru, Renaud; Umbrich, Jürgen; O'Riain, Sean; Decker, Stefan (CEUR-WS.org, 2007)
      We present a system that improves on current document- centric Web search engine technology; adopting an entity-centric perspective, we are able to integrate data from both static and live sources into a coherent, interlinked ...
    • SWSE: Objects before documents! 

      Harth, Andreas; Hogan, Aidan; Umbrich, Jürgen; Decker, Stefan (2008)
      Web search engines are immensely useful for locating documents online. However, with more and more structured data being published online, the restriction to the hyperdocument model impairs the usefulness for searching and ...
    • Towards a social provenance model for the Web 

      Harth, Andreas; Polleres, Axel; Decker, Stefan (2007)
      In this position paper we firstly present the established notion of provenance on the Semantic Web (also referred to as named graphs or contexts), and secondly argue for the benefit of adding to the pure technical notion ...
    • Weaving the Pedantic Web 

      Hogan, Aidan; Harth, Andreas; Passant, Alexandre; Decker, Stefan; Polleres, Axel (CEUR, 2010)
      Over a decade after RDF has been published as a W3C recommendation, publishing open and machine-readable content on the Web has recently received a lot more attention, including from corporate and governmental bodies; ...
    • YARS2: A Federated Repository for Querying Graph Structured Data from the Web 

      Harth, Andreas; Umbrich, Jürgen; Hogan, Aidan; Decker, Stefan (2007)
      We present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collected from many disparate sources on the Web. ...