References for: BigOWL
Full identifier: http://purl.org/np/RA_uycBM-xfoKyxrLefJm0btiXceH4wS5HrqFUzlHPdTI#BigOWL
Nanopublication | Part | Subject | Predicate | Object | Published By | Published On |
---|---|---|---|---|---|---|
links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
|
BigOWL
|
Barbara Magagna
|
2022-01-24T15:17:19.715Z
|
|||
links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
|
BigOWL
|
Barbara Magagna
|
2022-01-24T15:17:19.715Z
|
|||
links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
|
BigOWL
|
Barbara Magagna
|
2022-01-24T15:17:19.715Z
|
|||
links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
|
BigOWL
|
BigOWL|BigOWL Ontology
|
Barbara Magagna
|
2022-01-24T15:17:19.715Z
|
||
links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
|
BigOWL
|
BigOWL is an ontology to support knowledge management in Big Data analytics, designed to cover a wide vocabulary of terms concerning Big Data analytics workflows, including their components and how they are connected, from data sources to the analytics visualization. It also takes into consideration aspects such as parameters, restrictions and formats. This ontology defines not only the taxonomic relationships between the different concepts, but also instances representing specific individuals to guide the users in the design of Big Data analytics workflows.
|
Barbara Magagna
|
2022-01-24T15:17:19.715Z
|
||
links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
|
BigOWL
|
Barbara Magagna
|
2022-01-24T15:17:19.715Z
|
|||
links a nanopublication to its pubinfo
http://www.nanopub.org/nschema#hasPublicationInfo
pubinfo
|
BigOWL
|
Barbara Magagna
|
2022-01-24T15:17:19.715Z
|