http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108701254-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F9-5061
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-144
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-0428
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F8-4452
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-0637
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F8-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-2358
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-2322
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-211
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-022
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-0649
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-0482
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-046
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-254
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-435
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F8-433
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F8-34
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F3-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F9-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N5-02
filingDate 2017-08-22^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-11-18^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-11-18^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-108701254-B
titleOfInvention Systems and methods for dynamic family tracking, reconstruction and lifecycle management
abstract Described herein, according to various embodiments, are for use with data integration or other computing environments utilizing machine learning (ML, DataFlow Machine Learning, DFML), for managing data flows (dataflow, DF) and for building complex Data flow software application (data flow application, pipeline) system (data artificial intelligence system, data AI system). According to an embodiment, the system may provide data governance functions for each slice of data related to a particular snapshot in time, such as, for example, provenance (where a particular data came from), lineage (how the data was acquired/processed), security (who is responsible for the data) , classification (what the data is about), impact (how much impact the data has on the business), retention (how long should the data live), and validity (whether the data should be excluded/included for analysis/processing); this data can then be governed Capabilities are used to make lifecycle decisions and dataflow recommendations.
priorityDate 2016-08-22^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID9794178
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID420908836

Showing number of triples: 1 to 34 of 34.