Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Aidan Hogan"'
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-5 (2024)
Reliably processing and interlinking medical information has been recognized as a critical foundation to the digital transformation of medical workflows, and despite the development of medical ontologies, the optimization of these has been a major bo
Externí odkaz:
https://doaj.org/article/e8615f07bedf4f98b2b8b47ad3a92a9b
Autor:
Claus Stadler, Muhammad Saleem, Qaiser Mehmood, Carlos Buil-Aranda, Michel Dumontier, Aidan Hogan, Axel-Cyrille Ngonga Ngomo
Publikováno v:
Semantic Web. :1-23
We present the Linked SPARQL Queries (LSQ) dataset, which currently describes 43.95 million executions of 11.56 million unique SPARQL queries extracted from the logs of 27 different endpoints. The LSQ dataset provides RDF descriptions of each such qu
Autor:
Jaime Salas, Aidan Hogan
Publikováno v:
Semantic Web. 13:829-893
We define a procedure for canonicalising SPARQL 1.1 queries. Specifically, given two input queries that return the same solutions modulo variable names over any RDF graph (which we call congruent queries), the canonicalisation procedure aims to rewri
Autor:
Benjamín Del Pino, Aidan Hogan
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Autor:
Francisca Suárez, Aidan Hogan
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Autor:
Anna Pennekamp, Mirjam Thielen, Julia Glaser, Aidan Hogan, Leila Harhaus-Wähner, Ursula Trinler
Publikováno v:
Gait & Posture. 100:99-100
Autor:
Renzo Angles, Aidan Hogan, Ora Lassila, Carlos Rojas, Daniel Schwabe, Pedro Szekely, Domagoj Vrgoč
Publikováno v:
Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA).
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering (ICDE).
Publikováno v:
Semantic Web. 11:255-335
Millennium Institute for Foundational Research on Data (IMFD) Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT), CONICYT FONDECYT: 1181896