The Units Ontology: a tool for integrating units of measurement in science

Gkoutos, Georgios V.; Schofield, Paul N.; Hoehndorf, Robert

doi:10.1093/database/bas033

Cited by 88 publications

(54 citation statements)

References 39 publications

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“…‘Ratio’, ‘Selectivity’, ‘Response’) that require further resolution. Similarly, ChEMBL standard activity units were mapped to Units Ontology (UO) terms (22) (which are also a component of BAO) and stored in the ACTIVITIES table as UO_UNITS. Where available, units were also mapped to terms from the Quantities, Units, Dimensions and Types ontology (http://www.qudt.org).…”

Section: New Functionalitymentioning

confidence: 99%

The ChEMBL database in 2017

et al. 2016

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ChEMBL is an open large-scale bioactivity database (https://www.ebi.ac.uk/chembl), previously described in the 2012 and 2014 Nucleic Acids Research Database Issues. Since then, alongside the continued extraction of data from the medicinal chemistry literature, new sources of bioactivity data have also been added to the database. These include: deposited data sets from neglected disease screening; crop protection data; drug metabolism and disposition data and bioactivity data from patents. A number of improvements and new features have also been incorporated. These include the annotation of assays and targets using ontologies, the inclusion of targets and indications for clinical candidates, addition of metabolic pathways for drugs and calculation of structural alerts. The ChEMBL data can be accessed via a web-interface, RDF distribution, data downloads and RESTful web-services.

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Section: New Functionalitymentioning

confidence: 99%

The ChEMBL database in 2017

et al. 2016

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“…e latter can be classi ed into "Environmental measurements," "Vital sign," and "Appliance measurements"; for instance, a digital thermometer located in the living room can detect the temperature of the room, while a thermometer located on the user measures his/her internal temperature. Measurements describing the user's physiological status exploit a partially reengineered version of the Vital Sign Ontology [57], while measurements regarding appliances and domestic environments exploit the Units Ontology [58] to provide a sound description. Figure 5 depicts an example of a sensor performing a measurement of the user's temperature.…”

Section: Appliances and Domestic Environment Ontologymentioning

confidence: 99%

Semantic and Virtual Reality-Enhanced Configuration of Domestic Environments: The Smart Home Simulator

Spoladore

Arlati

Sacco

2017

Mobile Information Systems

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is paper introduces the Smart Home Simulator, one of the main outcomes of the D4All project. is application takes into account the variety of issues involved in the development of Ambient Assisted Living (AAL) solutions, such as the peculiarity of each endusers, appliances, and technologies with their deployment and data-sharing issues. e Smart Home Simulator-a mixed reality application able to support the con guration and customization of domestic environments in AAL systems-leverages on integration capabilities of Semantic Web technologies and the possibility to model relevant knowledge (about both the dwellers and the domestic environment) into formal models. It also exploits Virtual Reality technologies as an e cient means to simplify the con guration of customized AAL environments. e application and the underlying framework will be validated through two di erent use cases, each one foreseeing the customized con guration of a domestic environment for speci c segments of users.

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“…MeasurementValue holds either a number or a categorical value represented by a URI from an ontology, if possible (e.g., PATO or Environments Ontology (ENVO) [7]). Associated measurement metadata may include MeasurementUnit (mapped to the Units of Measurement Ontology, UO 16 ), MeasurementAccuracy and MeasurementMethod (not yet standardized), and StatisticalMethod, (e.g. mean or maximum), mostly mapped to the Semanticscience Integrated Ontology (SIO).…”

Section: Data Modelmentioning

confidence: 99%

TraitBank: Practical semantics for organism attribute data

Parr

Schulz

Hammock

et al. 2016

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Abstract. Encyclopedia of Life (EOL) has developed TraitBank (http://eol.org/traitbank), a new repository for organism attribute (trait) data. TraitBank aggregates, manages and serves attribute data for organisms across the tree of life, including life history characteristics, habitats, distributions, ecological relationships and other data types. We describe how TraitBank ingests and manages these data in a way that leverages EOL's existing infrastructure and semantic annotations to facilitate reasoning across the TraitBank corpus and interoperability with other resources. We also discuss TraitBank's impact on users and collaborators and the challenges and benefits of our lightweight, scalable approach to the integration of biodiversity data.

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The Units Ontology: a tool for integrating units of measurement in science

Cited by 88 publications

References 39 publications

The ChEMBL database in 2017

The ChEMBL database in 2017

Semantic and Virtual Reality-Enhanced Configuration of Domestic Environments: The Smart Home Simulator

TraitBank: Practical semantics for organism attribute data

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