Ontology for Process-Based Modeling of Dynamical Systems
Ana Kostovska
Ilin Tolovski
Ontology for Process-Based Modeling of Dynamical Systems (OntoPBM) developed by Panče Panov PhD, Ana Kostovska, Ilin Tolovski is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
Ontology
Panče Panov
definition
dc:Type
dct:BibliographicCitation
dct:Contributor
dct:Date created
dct:Description
dct:Format
dct:Identifier
dct:Date Issued
dct:License
dct:Title
equation
name
operating system
surname
representation
cpu
memory
user
runtime
part of
has part
realizes
precedes
is about
is concretization of
participates in
has participant
role of
has quality
has role
has input
has output
member of
has member
input of
output of
dct:Creator
dct:Publisher
represents
is represented by
is measurement of
execution of
has performance
has evaluation metric
has training set
has test set
has unit
has aggregation
has model variable role
executed by
executes
has test performance
has train performance
has validation performance
has feature
has representation TBC
has agent
is representation of
has value
at time
has upper bound
has lower bound
has initial value
has representation
at place
foaf:name
bfo:continuant
bfo:occurent
bfo:independent continuant
bfo:process
bfo:realizable entity
bfo:quality
bfo:specifically dependent continuant
bfo:role
bfo:generically dependent continuant
bfo:material entity
iao:data item
iao:information content entity
iao:directive information content entity
iao:plan specification
iao:software library
obi:computer
model
process based model
process based model representation
model entity
model process
model entity constant
model entity variable
model process constant
model entity variable role
observation
dataset
measurement
feature
experiment run
computer
performance metrics
user
person
evaluation function
evaluation specification
TrainTestSpec
train test
CrossValidSpec
cross-validation
LeaveOneOutSpec
leave-one-out
LearningCurveSpec
learning curve
experiment
dependent continuant
data example
unit
aggregation
simulate
simulation run
simulation run specification
mapping pair specification
simulation method
simulation parameter
abstol
reltol
steps
output specification
parameter estimation subroutine
objective function
loss function
simulator
differential evolution
DASA implementation
numerical optimization parameter
restarts
F
Cr
seed
evap
strategy
normalize
cauchyDecPer
cauchyIncPer
ants
evaluations
reg
cvode simulator
simulation and validation run
exhaustive search subroutine
exhaustive search run specification
experiment run specification
experiment constant
learning experiment constant
simulation experiment constant
structure identification subroutine
ABS
absolute error function
BoostingLossFunction
boosting loss function
GeneralNashSutcliffe
general nash sutcliffe loss function
MSE
mean squared error function
NashSutcliffe
nash sutcliffe loss function
PE
potential error function
RelativeErrorFunction
relative error function
RMSE
root mean squared error function
RMSEMultiDataset
root mean squared error function multi dataset
SSE
sum of squared errors loss function
Willmot
willmot loss function
W-SSE
weighted mean squared error
W-RMSE
weighted root mean squared error
WRMSEMultiDataset
weighted root mean squared error function multi dataset
W-SSE
weighted sum of squared errors loss function
WSSEL
logarithm of weighted sum of squared errors loss function
WSSELMultiDataset
logarithm of weighted sum of squared errors loss function multi dataset
WSSE2
square weighted sum of squared errors loss function
WSSE2L
square weighted logarithmic sum of squared errors loss function
WSSE2LMultiDataset
square weighted logarithmic sum of squared errors loss function multi dataset
WSSE2MultiDataset
square weighted sum of squared errors loss function multi dataset
GeneralNashSutcliffeObjectiveFunction
general nash sutcliffe objective function
NashSutcliffeObjectiveFunction
nash sutcliffe objective function
OV
observed variance function
N-RMSE
relative root mean squared error objective function
RelativeRMSEMultiDataset
relative root mean squared error objective function multi dataset
NW-RMSE
weigthed relative root mean squared error objective function
RelativeWRMSEMultiDataset
weigthed relative root mean squared error objective function multi dataset
RMSEObjectiveFunction
root mean squared error objective function
WillmotObjectiveFunction
willmot objective function
WRMSEObjectiveFunction
weighted root mean squared error objective function
WSSE2ObjectiveFunction
square weighted sum of squared errors objective function
validation subroutine
enumeration subroutine
WSSE2LObjectiveFunction
square weighted logarithmic sum of squared errors objective function
WSSE
weighted sum of squared errors objective function
WSSEMultiDataset
weighted sum of squared errors objective function multi dataset
WSSE
weighted logarithmic sum of squared errors objective function
combinatorial optimization subroutine
method implementation
numerical optimization method implementation
simulation method implementation
method
numerical optimization method
CVODE
j-metal
differential evolution implementation
experiment subroutine
simulation subroutine
exhaustive_search
exhaustive search run
combinatorial search run
differential evolution j-metal implementation
population
DASA
backward differentiation formulas method
newton raphson method
SPGMR method
SPGMR method implementation
SPGMR method cvode implementation
newton raphson method implementation
newton raphson method cvode implementation
backward differentiation formulas method implementation
backward differentiation formulas method cvode implementation
EXPO: ExecutionOfExperiment
external
FeatureVarianceValue
FeatureSkewnessValue
FeatureKurtosisValue
Dimensionality
BAO:computer simulation method
BAO:Newton-Raphson method
KISAO:backward differentiation formula
KISAO:scaled preconditioned generalized minimal residual method
DMOP:ContinuousFeatureCharacteristic
DMOP:DataCharacteristic
DMOP:DataSetCharacteristic
DMOP:FeatureCharacteristic
DMOP:FeatureMaximumValue
DMOP:FeatureMeanValue
DMOP:FeatureMinimumValue
DMOP:FeatureStandardDeviation
DMOP:NumberOfFeatures
DMOP:NumberOfInstances
DMOP:Characteristic
DMOP:CrossValidation
DOLCE:abstract-quality
A curated collection of metadata about datasets and data services
dcat:Catalog
A collection of data, published or curated by a single source, and available for access or download in one or more formats
dcat:Dataset
Resource published or curated by a single agent
dcat:Catalogued resource
foaf:Agent
average
maximum
minimum
product
sum
exogenous model entity variable role
endogenous model entity variable role
current-to-best/1/exp
current-to-rand/1/exp
current-to-best/1/bin
current-to-rand/1/bin
current-to-best/1
current-to-rand/1
best/1/exp
rand/1/exp
best/1/bin
rand/1/bin