Browsing by Author "Hogan, Aidan"
Now showing items 1-20 of 33
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An empirical survey of linked data conformance
Hogan, Aidan; Umbrich, Jürgen; Harth, Andreas; Cyganiak, Richard; Polleres, Axel; Decker, Stefan (Elsevier BV, 2012-07-01) -
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 ... -
DRETa: extracting RDF from wikitables
Muñoz, Emir; Hogan, Aidan; Mileo, Alessandra (CEUR-WS.org, 2013)Tables are widely used in Wikipedia articles to display relational information - they are inherently concise and information rich. However, aside from info-boxe s, there are no automatic methods to exploit the integrated ... -
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 ... -
Exploiting RDFS and OWL for Integrating Heterogeneous, Large-Scale, Linked Data Corpora
Hogan, Aidan (2011-03-11)The Web contains a vast amount of information on an abundance of topics, much of which is encoded as structured data indexed by local databases. However, these databases are rarely interconnected and information reuse ... -
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 ... -
Freshening up while Staying Fast: Towards Hybrid SPARQL Queries
Umbrich, Jürgen; Karnstedt, Marcel; Hogan, Aidan; Parreira, Josiane Xavier (2012) -
Hybrid SPARQL queries: fresh vs. fast results
Umbrich, Jurgen; Karnstedt, Marcel; Hogan, Aidan; Parreira, Xavier (2012) -
Linked Data and the Semantic Web Standards
Hogan, Aidan (Chapman and Hall / CRC Press, 2013)On the traditional World Wide Web we all know and love, machines are used as brokers of content: they store, organize, request, route, transmit, receive and display content encapsulated as documents. In order for machines ... -
On the Ostensibly Silent 'W' in OWL 2 RL
Hogan, Aidan; Decker, Stefan (Springer, 2009)In this paper, we discuss the draft OWL 2 RL proable from the perspective of applying the constituent rules over Web data. In particular, borrowing from previous work, we discuss (i) optimisations based on a separation ... -
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 ... -
RDFS & OWL Reasoning for Linked Data
Hogan, Aidan; Delbru, Renaud; Umbrich, Jurgen (na, 2013)Linked Data promises that a large portion of Web Data will be usable as one big interlinked RDF database against which structured queries can be answered. In this lecture we will show how reasoning - using RDF Schema (RDFS) ... -
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 ... -
Robust and scalable linked data reasoning incorporating provenance and trust annotations
Bonatti, Piero A.; Hogan, Aidan; Polleres, Axel; Sauro, Luigi (Elsevier BV, 2011-07-01) -
SAFE: SPARQL federation over RDF data cubes with access control
Khan, Yasar; Saleem, Muhammad; Mehdi, Muntazir; Hogan, Aidan; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (BioMed Central, 2017-02-01)Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; ... -
Safe: sparql federation over rdf data cubes with access control
Khan, Yasar; Saleem, Muhammad; Mehdi, Muntazir; Hogan, Aidan; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (Springer Nature, 2017-02-01)Background: Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by ... -
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 and distributed methods for entity matching, consolidation and disambiguation over linked data corpora
Hogan, Aidan; Zimmermann, Antoine; Umbrich, Jürgen; Polleres, Axel; Decker, Stefan (Elsevier BV, 2012-01-01) -
Scalable Authoritative OWL Reasoning for the Web
Hogan, Aidan; Harth, Andreas; Polleres, Axel (2009)