CGO | Summary | LIRMM StagePortal

General information

Abstract

Shrestha, R., Matteis, L., Skofic, M., Portugal, A., McLaren, G., Hyman, G., & Arnaud, E. (2012). Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice. Frontiers in physiology, 3, 326.de Vos, M., Wielemaker, J., Rijgersberg, H., Schreiber, G., Wielinga, B., & Top, J. (2017). Combining information on structure and content to automatically annotate natural science spreadsheets. International Journal of Human-Computer Studies, 103, 63-76.Haller, A., Janowicz, K., Cox, S., Le Phuoc, D., Taylor, K., Lefrancois, M. (2017) Semantic Sensor Network Ontology. See more...

Description

This ontology is based on the SSN Ontology by the W3C Semantic Sensor Networks Incubator Group (SSN-XG), together with considerations from the W3C/OGC Spatial Data on the Web Working Group., This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports.Shrestha, R., Matteis, L., Skofic, M., Portugal, A., McLaren, G., Hyman, G., & Arnaud, E. (2012). Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice. Frontiers in physiology, 3, 326.de Vos, M., Wielemaker, J., Rijgersberg, H., Schreiber, G., Wielinga, B., & Top, J. (2017). Combining information on structure and content to automatically annotate natural science spreadsheets. International Journal of Human-Computer Studies, 103, 63-76.Haller, A., Janowicz, K., Cox, S., Le Phuoc, D., Taylor, K., Lefrancois, M. (2017) Semantic Sensor Network Ontology. W3C. W3C Recommendation. URL: https://www.w3.org/TR/vocab-ssn/ See more...

Initial created on November 28, 2022. For additional information, contact Syphax Bouazzouni (gs_bouazzoun@esi.dz).