loading...| Number of classes: | 143 |
|---|---|
| Number of individuals: | 192 |
| Number of properties: | 7 |
| Maximum depth: | 9 |
| Maximum number of siblings: | 21 |
| Average number of siblings: | 7 |
| Classes with a single subclass: |
6Classes with a single subclass'aggregate field component' |
| Classes with more than 25 subclasses: | |
| Classes with no definition: |
106Classes with no definitionOntoDM:OntoDM_330210(http://kt.ijs.si/panovp/OntoDM#OntoDM_330210) |
| Ontology Id | 1588 |
|---|---|
| Acronym | OntoDT |
| Visibility | Public |
| BioPortal PURL | http://purl.bioontology.org/ontology/OntoDT |
| Status | Beta |
| Format | OWL |
| Categories | |
| Groups | |
| Contact | Pance Panov, pance.panov@ijs.si |
| Home Page | www.ontodm.com |
| Publications Page | www.ontodm.com |
| Documentation Page | www.ontodm.com |
| Description | This ontology contains entities such as: datatype, datatype generator, datatype qualiy and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modelling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining is available at http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionaly, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes. |
| Version | Release Date | Upload Date | Downloads |
|---|---|---|---|
| 1.0 | 05/31/2012 | 05/31/2012 | Ontology / Diff |
| SVN revision 58 | 01/13/2011 | 03/04/2011 | Ontology |
| Project | Description | People | Institution |
|---|---|---|---|
|
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 |
|
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 |
|
Ontology of Data Mining (OntoDM)
|
OntoDM is a general-purpose ontology for the domain of data min...
OntoDM is a general-purpose ontology for the domain of data mining. The ontology includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.
|
Pance Panov, Saso Dzeroski, Larisa Soldatova
Pance Panov, Saso Dzeroski, Larisa Soldatova
|
Jozef Stefan Institute |
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