loading... loading...| Number of classes: | 31 |
|---|---|
| Number of individuals: | 4 |
| Number of properties: | 50 |
| Maximum depth: | 3 |
| Maximum number of children: | 7 |
| Average number of children: | 3 |
| Classes with a single child: | 1 |
| Classes with more than 25 children: | 0 |
| Classes with no definition: | 11 |
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Details
| Acronym | PROVO |
|---|---|
| Visibility | Public |
| BioPortal PURL | http://purl.bioontology.org/ontology/PROVO |
| Description | The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. |
| Status | Alpha |
| Format | OWL |
| Contact | Timothy Lebo , lebot@rpi.edu |
| Home Page | http://www.w3.org/TR/prov-o/ |
| Publications Page | |
| Documentation Page | http://www.w3.org/TR/prov-o/ |
| Categories | |
| Groups |
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Submissions
| Submission | Release Date | Upload Date | Downloads |
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| Recommendation version 2013-04-30 (Parsed, Indexed, Metrics, Annotator) | 07/04/2013 | 08/16/2013 | OWL | CSV | RDF/XML | Diff |
| Recommendation version 2013-04-30 (Archived) | 07/04/2013 | 07/23/2013 | OWL |
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Superset of Provenance Ontology
- Description: PROV is a superset of PROV (the Provenance Ontology). The relationship between these two ontologies is described at http://www.w3.org/ns/prov
- Created By: Timothy Lebo, lebot@rpi.edu
| Submission | Release Date | Upload Date | Downloads |
|---|---|---|---|
| Recommendation version 2013-04-30 (Parsed, Indexed, Metrics, Annotator) | 04/30/2013 | 08/16/2013 | OWL | CSV | RDF/XML |
Projects Using This Ontology Create new project
| Project | Description | People | Institution |
|---|---|---|---|
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Kino
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Kino is an integrated suite of tools that enables scientists to...
Kino is an integrated suite of tools that enables scientists to annotate biological related web-based documents. It can annotate documents by accessing NCBO ontologies.Kino consists of an NCBO integrated front-end that allows the convenient annotation and submission of web documents through a browser plug in, and an annotation aware back-end, capable of providing faceted search capabilities. These annotations have a variety of uses, ranging from extended search capabilities to advanced data mining. Annotated documents are indexed using a faceted indexing and search engine that provides fine-grained search capabilities to the scientists. Thus, Kino is a comprehensive architecture for annotating and indexing Biological oriented documents that should be of great use for the biological and biomedical community.
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Amit Sheth, Ajith Ranabahu, Maryam Panahiazar
Amit Sheth, Ajith Ranabahu, Maryam Panahiazar
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Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) |
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Neuroimaging Data Model
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The Neuroimaging Data Model (NIDM) is a collection of...
The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication.
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Nolan Nichols
Nolan Nichols
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INCF |
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Open PHACTS
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Open PHACTS (Open Pharmacological Concepts Triple Store) is a...
Open PHACTS (Open Pharmacological Concepts Triple Store) is a knowledge management project of the Innovative Medicines Initiative (IMI), a unique partnership between the European Community and the European Federation of Pharmaceutical Industries and Associations (EFPIA).
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