The Human-Aware Science Ontology (HAScO) "integrates a collection of well-established science-related ontologies, and aims to addressing issues related to data annotation for large data ecosystem, where data can come from diverse data sources including sensors, lab results, and questionnaires. The work reported in the paper is based on our experience developing HAScO, using it to annotate data collections to facilitate data exploration and analysis for numerous scientific projects, three of which will be described. Data files produced by scientific studies are processed to identify and annotate the objects (a gene, for instance) with the appropriate ontological terms. "
- Source: Pinheiro, P., Bax, M., Santos, H., Rashid, S.M., Liang, Z., Liu, Y., McCusker, J.P., McGuinness, D.L.: Annotating Diverse Scientific Data with HAScO. In: Proceedings of the Seminar on Ontology Research in Brazil 2018 (ONTOBRAS 2018). São Paulo, SP, Brazil (2018)