In
this
work,
we
develop
a
derived
information
framework
to
semantically
annotate
how
piece
of
can
be
obtained
from
others
in
dynamic
knowledge
graph.
We
encode
using
the
notion
“derivation”
and
capture
its
metadata
with
lightweight
ontology.
provide
an
agent
template
designed
monitor
derivations
standardise
agents
performing
related
operations.
implement
both
synchronous
asynchronous
communication
modes
for
interacting
When
occurring
conjunction,
directed
acyclic
graphs
arise,
changing
data
propagating
through
graph
by
means
agents’
actions.
While
itself
is
domain-agnostic,
apply
it
context
smart
cities
as
part
World
Avatar
project
demonstrate
that
capable
handling
sequential
events
across
different
timescales.
Starting
source
information,
automatically
populates
ensures
they
remain
up
date
upon
access
potential
flood
impact
assessment
use
case.
Sustainable Cities and Society,
Journal Year:
2023,
Volume and Issue:
101, P. 105113 - 105113
Published: Dec. 16, 2023
This
paper
investigates
the
usage
of
knowledge
graphs
to
bridge
gap
between
current
data
silos
in
deriving
a
holistic
perspective
on
impact
flooding.
It
builds
idea
connected
digital
twins
based
World
Avatar
dynamic
graph
deploy
an
ecosystem
autonomous
software
agents
continuously
ingest
new
real-world
information
and
operate
it.
Multiple
publicly
available
yet
isolated
sources,
including
geospatial
building
property
sales
as
well
real-time
river
levels,
weather
observations,
flood
warnings,
are
instantiate
semantically
rich
knowledge,
data,
computational
capabilities
provide
cross-domain
insights
projected
flooding
events
their
potential
population
built
infrastructure.
The
extensibility
proposed
approach
is
highlighted
by
further
integrating
power,
water,
telecoms
infrastructure
part
very
same
system,
order
analyse
flood-induced
asset
failures
propagation
across
networks.
promotes
evidence-based
decision
making
during
several
disaster
management
phases,
supporting
both
tactical
strategic
risk
assessments,
which
supports
United
Nations
Sustainable
Development
Goal
11
improve
assessment
vulnerability,
exposure,
communities
imposed
events.
Future Generation Computer Systems,
Journal Year:
2023,
Volume and Issue:
152, P. 112 - 126
Published: Oct. 29, 2023
In
this
work,
we
develop
a
derived
information
framework
to
semantically
annotate
how
piece
of
can
be
obtained
from
others
in
dynamic
knowledge
graph.
We
encode
using
the
notion
"derivation"
and
capture
its
metadata
with
lightweight
ontology.
provide
an
agent
template
designed
monitor
derivations
standardise
agents
performing
related
operations.
implement
both
synchronous
asynchronous
communication
modes
for
interacting
When
occurring
conjunction,
directed
acyclic
graphs
arise,
changing
data
propagating
through
graph
by
means
agents'
actions.
While
itself
is
domain-agnostic,
apply
it
context
smart
cities
as
part
World
Avatar
project
demonstrate
that
capable
handling
sequential
events
across
different
timescales.
Starting
source
information,
automatically
populates
ensures
they
remain
up
date
upon
access
potential
flood
impact
assessment
use
case.
Energy and AI,
Journal Year:
2024,
Volume and Issue:
17, P. 100376 - 100376
Published: May 18, 2024
This
paper
presents
a
knowledge
graph-based
approach
for
the
dynamic
control
of
district
heating
network
with
integrated
emission
dispersion
modelling.
We
propose
an
interoperable
and
extensible
implementation
to
forecast
anticipated
heat
demand
municipal
network,
minimise
associated
total
generation
cost
based
on
previously
devised
methodology,
couple
it
simulations
induced
airborne
pollutants
provide
automatic
insights
into
air
quality
implications
various
sourcing
strategies.
create
cross-domain
interoperability
in
nexus
energy
via
newly
developed
ontologies
semantic
software
agents,
which
can
be
chained
together
The
World
Avatar
graph
resemble
behaviour
complex
systems.
Furthermore,
we
integrate
City
Energy
Analyst
this
ecosystem
building-level
renewable
potential
foster
strategic
analyses
scenario
planning.
Underlying
calculations
use
building
weather
data
from
place
inherent
assumptions
official
release,
facilitating
more
data-driven
approach.
All
cases
are
implemented
mid-size
town
Germany
as
proof-of-concept,
unified
visualisation
interface
is
provided,
allowing
examination
3D
buildings
alongside
their
corresponding
supply
time
series,
well
data.
With
work,
outline
Semantic
Web
technologies
connect
digital
twins
holistic
modelling
smart
cities,
thereby
addressing
increasing
complexity
interconnected
Systems Science & Control Engineering,
Journal Year:
2025,
Volume and Issue:
13(1)
Published: Feb. 7, 2025
Digital
twin-based
resilience
management
systems
are
essential
for
improving
urban
flooding
resilience,
enabling
lifecycle-oriented
emergency
as
a
continuous
process
rather
than
discrete
phases.
However,
to
the
best
of
our
knowledge,
currently,
there
lacks
system
framework
supporting
development
an
digital
twin
(UFDT)
platform
capable
managing
events
across
entire
lifecycle.
This
UFDT
is
required
(1)
accommodate
model-generation
methods/tools
preparing
what-if
scenarios,
(2)
support
readiness
simulations
and
evaluations,
(3)
coordinate
various
collaborative
prevention
intervention
services
from
different
stakeholders
in
response
any
emergence,
(4)
monitor
forecast
risks
recovery
phase.
To
fill
this
gap,
paper,
new
developed
based
on
user-centred
product
design
with
consideration
above
requirements.
It
has
two
key
components:
conceptual
model,
generative
methodology
its
rapid
construction/updating/adaptation
varying
levels
detail.
A
prototype
been
testing
model
at
city,
regional
street
exemplar
assess
framework's
ability
potential
provide
scalable,
adaptable,
stakeholder-focused
solutions
management[Q1].
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(17), P. 7815 - 7815
Published: Sept. 3, 2024
This
paper
explores
the
application
of
The
World
Avatar
(TWA)
dynamic
knowledge
graph
to
connect
isolated
data
and
assess
impact
rising
sea
levels
in
Singapore.
Current
level
rise
vulnerability
assessment
tools
are
often
regional,
narrow
scope
(e.g.,
economic
or
cultural
aspects
only),
inadequate
representing
complex
non-geospatial
consistently.
We
apply
TWA
conduct
a
multi-perspective
Singapore,
evaluating
vulnerable
buildings,
road
networks,
land
plots,
sites,
populations.
introduce
OntoSeaLevel,
an
ontology
describe
scenarios,
its
on
broader
elements
defined
other
ontologies
such
as
buildings
(OntoBuiltEnv
ontology),
networks
(OpenStreetMap
plots
(Ontoplot
Ontozoning
ontology).
deploy
computational
agents
synthesise
from
government,
industry,
publicly
accessible
sources,
enriching
with
metadata
property
usage,
estimated
construction
cost,
number
floors,
gross
floor
area.
An
agent
is
applied
identify
instantiate
impacted
sites
using
OntoSeaLevel.
These
include
populations
at
risk.
showcase
these
unified
visualisation,
demonstrating
TWA’s
potential
planning
tool
against
through
assessment,
resource
allocation,
integrated
spatial
planning.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 8907 - 8907
Published: Oct. 14, 2024
Sound
planning
for
urban
mobility
is
a
key
facet
of
securing
sustainable
future
our
systems,
and
requires
the
careful
comprehensive
assessment
its
components,
such
as
status
cities’
public
transportation
network,
how
planners
should
invest
in
developing
it.
We
use
agent-based
modelling,
tried
true
method
endeavours,
studying
history,
planned
works
possible
evolution
tram
line
network
Greater
Geneva
region.
couple
these
models
with
knowledge
graphs,
way
that
both
are
able
to
mutually
enrich
each
other.
Results
show
information
organisation
powers
graphs
highly
relevant
effortlessly
recounting
past
events
designing
scenarios
be
directly
incorporated
inside
model.
The
model
features
all
5
lines
from
current
real-world
servicing
total
15
communes.
In
turn,
capable
replaying
events,
predicting
developments
exploring
user-defined
scenarios.
It
also
harnesses
self-organisation
properties
autonomously
reconstruct
an
artificial
region
based
on
two
different
initial
networks,
up
29
communes
depending
scenario.
data
gathered
simulation
imported
back
into
graphs.
networks
closely
resemble
their
counterparts
demonstrate
predictive
prescriptive
They
constitute
valuable
assets
towards
compelling
progress
modelling
field,
convincing
demonstration
technical
capabilities.
