Autor segons l'article: Garay-Ruiz D; Bo C
Departament: Química Física i Inorgànica
Autor/s de la URV: Bo Jané, Carles / Garay Ruiz, Diego
Paraules clau: World-wide-web Semantics Reactivity Reaction networks Ontologies xml span model semantics reactivity reaction networks markup entities
Resum: The organization and management of large amounts of data has become a major point in almost all areas of human knowledge. In this context, semantic approaches propose a structure for the target data, defining ontologies that state the types of entities on a certain field and how these entities are interrelated. In this work, we introduce OntoRXN, a novel ontology describing the reaction networks constructed from computational chemistry calculations. Under our paradigm, these networks are handled as undirected graphs, without assuming any traversal direction. From there, we propose a core class structure including reaction steps, network stages, chemical species, and the lower-level entities for the individual computational calculations. These individual calculations are founded on the OntoCompChem ontology and on the ioChem-BD database, where information is parsed and stored in CML format. OntoRXN is introduced through several examples in which knowledge graphs based on the ontology are generated for different chemical systems available on ioChem-BD. Finally, the resulting knowledge graphs are explored through SPARQL queries, illustrating the power of the semantic approach to standardize the analysis of intricate datasets and to simplify the development of complex workflows.© 2022. The Author(s).
Àrees temàtiques: Química Physical and theoretical chemistry Library and information sciences Computer science, interdisciplinary applications Computer science, information systems Computer science applications Computer graphics and computer-aided design Ciencias sociales Chemistry, multidisciplinary Biotecnología
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: carles.bo@urv.cat diego.garay@estudiants.urv.cat
Identificador de l'autor: 0000-0001-9581-2922
Data d'alta del registre: 2024-09-07
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://jcheminf.biomedcentral.com/articles/10.1186/s13321-022-00610-x
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Journal Of Cheminformatics. 14 (1): 29-29
Referència de l'ítem segons les normes APA: Garay-Ruiz D; Bo C (2022). Chemical reaction network knowledge graphs: the OntoRXN ontology. Journal Of Cheminformatics, 14(1), 29-29. DOI: 10.1186/s13321-022-00610-x
DOI de l'article: 10.1186/s13321-022-00610-x
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications