homepage: | http://sw.deri.org/~aidanh/ |
search externally: | Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife |
Description
Aidan Hogan is a post-doctoral researcher at the Digital Enterprise Research Institute (DERI), National University of Ireland, Galway. His research interests focus on consuming Linked Data, where he has published various contributions on crawling, ranking, indexing, reasoning and querying over large crawls of RDF Web data, as well as related issues concerning data quality. He received his PhD from DERI in 2011; his thesis presented various use-cases for reasoning over Linked Data, analyses of the use of RDFS and OWL on the Web, as well as scalable, distributed and robust algorithms for reasoning over heterogeneous Linked Data corpora. Aidan is one of the main contributors to the Semantic Web Search Engine (SWSE) project, and is one of the co-founders of the Pedantic Web group which gently encourages Linked Data publishers to fix their exporters (where necessary).
Lectures:
tutorial Semantic Web Languages and Standards as author at 2nd ESWC Summer School, Kalamaki 2012, 8639 views |
tutorial Introduction to Linked Data: Background Technologies and Standards, Motivating Application Scenario as author at 3rd ESWC Summer School, Crete 2013, together with: Jarred McGinnis, 4539 views |
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tutorial Querying Linked Data as author at 3rd ESWC Summer School, Crete 2013, 4213 views |
lecture BTC-2019:The2019 Billion Triple Challenge Dataset as author at 18th International Semantic Web Conference (ISWC), Auckland 2019, 78 views |
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