loading...| Number of classes: | 30 |
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| Number of individuals: | 0 |
| Number of properties: | 8 |
| Maximum depth: | 2 |
| Maximum number of siblings: | 6 |
| Average number of siblings: | 1 |
| Classes with a single subclass: |
3Classes with a single subclassWSIO_compression:015 |
| Classes with more than 25 subclasses: | |
| Classes with no definition: | 0 |
Details
| Ontology Id | 1632 |
|---|---|
| Acronym | WSIO |
| Visibility | Public |
| BioPortal PURL | http://purl.bioontology.org/ontology/WSIO |
| Status | Beta |
| Format | OBO |
| Categories |
Other
|
| Groups | |
| Contact | Matus Kalas, matus.kalas@uib.no |
| Home Page | http://wsio.org |
| Publications Page | |
| Documentation Page | http://wsio.org |
| Description | Web Service Interaction Ontology (WSIO) enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general. If the interaction scenario with a Web service is nontrivial (and incorporates session handling), annotation with WSIO concepts will enable automatic generation of client programs, scripts, or interactive applications with a graphical user interface. WSIO also enables automation of different ways of data transfer and data un-/compression or en-/decoding. We strongly discourage providers from developing complex interaction and data-transfer/compression scenarios, however when needed, WSIO may enable smooth automated interaction with them. Future versions will support more interaction scenarios. WSIO aims to serve also as a means to standardise the complex interaction scenarios primarily within both SOAP and REST Web services, and secondarily to apply also to batch execution infrastructure in general. |
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Versions
| Version | Release Date | Upload Date | Downloads |
|---|---|---|---|
| beta1 | 03/14/2013 | 03/14/2013 | Ontology / Diff |
| beta0.1 | 07/04/2011 | 01/15/2012 | Ontology |
| beta0 | 07/03/2011 | 06/27/2011 | Ontology |
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Projects Using This Ontology Create new project
| Project | Description | People | Institution |
|---|---|---|---|
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OntoCAT
|
High level abstraction API (Java/REST/R) for interacting with o...
High level abstraction API (Java/REST/R) for interacting with ontology resources including local ontology files in standard OWL and OBO formats (via OWL API) and public ontology repositories: EBI Ontology Lookup Service (OLS) and NCBO BioPortal.
|
Tomasz Adamus...
Tomasz Adamusiak, Helen Parkinson, Natalja Kurbatova, Misha Kapushesky, Morris Swertz
|
EMBL-EBI, University of Groningen |
|
web service
|
It is a healthcare analysis system
It is a healthcare analysis system
|
Health | |
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OntoMaton
|
OntoMaton is a google spreadsheet application allowing for onto...
OntoMaton is a google spreadsheet application allowing for ontology search and tagging directly within google spreadsheets.
More information can be found here: https://github.com/ISA-tools/OntoMaton
|
ISA team
ISA team
|
Oxford University |
|
eSysbio
|
eSysbio is a project for developing an online workbench for col...
eSysbio is a project for developing an online workbench for collaborative computational biology research. It provides a secure Web-based workspace where researchers can analyse and share their data. It is available in pre-alpha version.
The aims of eSysbio are:
1. To enable efficient interdisciplinary life science research
2. To ease analysis of complex biological data
3. To allow efficient use of public data and analysis tools
4. To automatically document in silico experiments for reproducible science
For the analyses of their data, users of eSysbio can use any external tools that have an interoperable SOAP Web service interface. In addition, users can use their custom R scripts, or those shared with other users. It allows complex analyses by composing Web services and R scripts into custom workflows.
eSysbio focusses on making collaborations smooth: the strong side of eSysbio is the functionality for sharing data, tools, script, and workflows within custom groups of users.
|
Kidane Tekle,...
Kidane Tekle, Hakon Sagehaug, Matus Kalas, Siv Midtun Hollup, Michael Dondrup, Anne-Kristin Stavrum, Pawel Sztromwasser, Armin Topfer, Kjell Petersen, Inge Jonassen, Pal Puntervoll
|
University of Bergen |
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