@inproceedings{1191c69fe797403386eaec2b88077c27,
title = "Extracting Subontologies from SNOMED CT",
abstract = "Computing smaller extracts of a larger ontology has been recognised as important for enabling tasks such as ontology creation, review, updating, debugging, navigation, sharing and integration [2, 5, 6]. In addition, reasoning tasks such as querying and classification take less time to execute over a smaller extract than over the original ontology.",
author = "Warren Del-Pinto and Schmidt, {Renate A.} and Yongsheng Gao",
note = "Funding Information: Thanks to members of our Steering and Working Groups: Rory Davidson, Jim Case, Monica Harry, Kai Kewley and Ghadah Alghamdi. The work was funded by UK EPSRC IAA, the University of Manchester and SNOMED International. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th European Semantic Web Conference, ESWC 2022 ; Conference date: 29-05-2022 Through 02-06-2022",
year = "2022",
doi = "10.1007/978-3-031-11609-4_43",
language = "English",
isbn = "9783031116087",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "291--294",
editor = "Paul Groth and Anisa Rula and Jodi Schneider and Ilaria Tiddi and Elena Simperl and Panos Alexopoulos and Rinke Hoekstra and Mehwish Alam and Anastasia Dimou and Minna Tamper and Minna Tamper",
booktitle = "The Semantic Web",
address = "United States",
}