author: aidan hogan

The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II

Chiara Ghidini Olaf Hartig Maria Maleshkova Vojtěch Svátek Isabel Cruz Aidan Hogan Jie Song Maxime Lefrançois Fabien Gandon

Computers

... questions in QALD is 408 which hinders the development of machine learning ... study also revealed that macro F-score (average on all questions) varies a ... Frankenstein framework [26]. For example, SINA [23] generates SPARQL queries ...

The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I

Chiara Ghidini Olaf Hartig Maria Maleshkova Vojtěch Svátek Isabel Cruz Aidan Hogan Jie Song Maxime Lefrançois Fabien Gandon

Computers

... scale RDFS/OWL reasoning with spark. In: IPDPS, pp. 700–709 (2015) 7. Kaoudi ... webscale parallel inference engine using mapreduce. JWS 2010 (2012) Urbani, J ... Ozeri, A.: Parallel and distributed processing of rules by datareduction ...

The Semantic Web – ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings

Ulrike Sattler Aidan Hogan Maria Keet Valentina Presutti João Paulo A. Almeida Hideaki Takeda Pierre Monnin Giuseppe Pirrò Claudia d’Amato

Computers

... phrases that best describe the content of text. The automatic generation of ... process of extracting a small set of phrases that best describe a document. This ... focus on extracting present keyphrases from an input text, including ...