S
Simon Jupp
Researcher at European Bioinformatics Institute
Publications - 73
Citations - 3070
Simon Jupp is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Ontology (information science) & Semantic Web. The author has an hindex of 22, co-authored 70 publications receiving 2081 citations. Previous affiliations of Simon Jupp include University of Manchester & Wellcome Trust.
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Journal ArticleDOI
The health care and life sciences community profile for dataset descriptions.
Michel Dumontier,Alasdair J. G. Gray,M. Scott Marshall,Vladimir Alexiev,Peter Ansell,Gary D. Bader,Joachim Baran,Jerven Bolleman,Alison Callahan,Jose Cruz-Toledo,Pascale Gaudet,Erich Gombocz,Alejandra Gonzalez-Beltran,Paul Groth,Melissa A. Haendel,Maori Ito,Simon Jupp,Nick Juty,Toshiaki Katayama,Norio Kobayashi,Kalpana Krishnaswami,Camille Laibe,Nicolas Le Novère,Simon Lin,James Malone,Michael Miller,Christopher J. Mungall,Laurens Rietveld,Sarala M. Wimalaratne,Atsuko Yamaguchi +29 more
TL;DR: This guideline reuses existing vocabularies, and is intended to meet key functional requirements including indexing, discovery, exchange, query, and retrieval of datasets, thereby enabling the publication of FAIR data.
Proceedings ArticleDOI
Process of Building a Vocabulary for the Infection Domain
TL;DR: The process of building an infection domain vocabulary for the national electronic library of infection is presented and the requirements for the vocabulary development process and the initial results are described.
Journal ArticleDOI
OLS Client and OLS Dialog: Open Source Tools to Annotate Public Omics Datasets.
Yasset Perez-Riverol,Tobias Ternent,Maximilian Koch,Harald Barsnes,Olga Vrousgou,Simon Jupp,Juan Antonio Vizcaíno +6 more
TL;DR: The OLS Client is presented as a free, open‐source Java library to retrieve information from the new version of the OLS, which enables rapid tool creation by providing a robust, pluggable programming interface and common data model to programmatically access the O LS.
Journal ArticleDOI
The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation
Adekunle Adekile,Kofi A. Anie,Cherif Ben Hamda,Biobele J. Brown,Daima Bukini,Andrew D. Campbell,Melek Chaouch,Emile R. Chimusa,Catherine Chunda-Liyoka,Jemima A. Dennis-Antwi,Vimal K. Derebail,Miriam V Flor-Park,Amy Geard,Kais Ghedira,Melissa A. Haendel,Neil A. Hanchard,Jade Hotchkiss,Mario Jonas,Muntaser E. Ibrahim,Clair Ingram,Baba Inusa,Adijat Ozohu Jimoh,Simon Jupp,Karen Kengne Kamga,Zainab Abimbola Kashim,Jennifer Knight-Madden,Guida Landouré,Philomene Lopez-Sall,Julie Makani,Leonard Malasa,Tshepiso Masekoameng,Gaston K. Mazandu,Khuthala Mnika,Nicola Mulder,Nchangwi Syntia Munung,Deogratias Munube,Liberata Mwita,Victoria Nembaware,Obiageli E Nnodu,Solomon F. Ofori-Acquah,Kwaku Ohene-Frempong,Alex Osei-Akoto,Vivian Paintsil,Sumir Panji,Mohamed Cherif Rahimy,Charmaine D.M. Royal,Raphael Z. Sangeda,Bamidele O. Tayo,Ines Tiouiri,Furahini Tluway,Marsha Treadwell,Léon Tshilolo,Nicole Vasilevsky,Kasadhakawo Musa Waiswa,Ambroise Wonkam +54 more
TL;DR: The SCD Ontology (SCDO) constitutes a comprehensive knowledge management system and standardized terminology of various SCD-related factors that will promote interoperability of different research datasets, facilitate seamless data sharing and collaborations, and support the development and curation of data-basing and clinical informatics in SCD.
Proceedings Article
SKOS with OWL: Don't be Full-ish!
TL;DR: It is speculated how SKOS artefacts may be used in combination with other knowledge artefacts, such as ontologies represented in the Web Ontology Language (OWL), and how these issues can be addressed with the introduction of rich annotations and/or punning into OWL-DL.