133
Anas asia ANASTASIOU(*), E himios MAGKOUFIS(*), A ge inos TEGOPOULOS(*),
Kons an inos MPOTONAKIS(*), Ch is os KONTOPOULOS(*) &
Vasiliki (Be y) CHARALAMPOPOULOU(*)
(*)Geosys ems Hellas S.A. - A hens, G eece
Co esponding au ho : [email p o ec ed]
AN ADVANCED KNOWLEDGE BASE PLATFORM AND A DECISION SUPPORT SYSTEM
FOR SAFEGUARDING CULTURAL HERITAGE
ExTENDED ABSTRACT
La pia a o ma TRIQUETRA, Knowledge Base Pla o m (KBP) è un componen e chia e del Sis ema di Suppo o Decisionale TRI-
QUETRA (DSS), p oge a a pe acili a e il moni o aggio e la p o ezione dei si i del Pa imonio Cul u ale (CH).
La KBP è compos a da due elemen i dis in i: un da abase comple o con enen e u i i isul a i de i an i dalla e isione della le e a u a
condo a nel con es o del p oge o, e una pia a o ma WebGIS che in eg a e isualizza da i geospaziali ela i i ai si i pilo a del CH del
p oge o (cambiamen i clima ici, geologia, s o ia, ca a e is iche speci iche del si o, ischi e misu e di mi igazione). Ques i si i includono
Aegina (GR), Choi okoi ia (CY), Epidau us (GR), Kalapodi (GR), Les A gilliez (SUI), Roseninsel (DE), Smuszewo (PL) e Ven o ene (IT).
Se endo come un a chi io ele onico, la KBP o e agli u en i l’accesso a un ampio spe o di da i ela i i al pa imonio cul-
u ale, on i bibliog a iche e s a egie di mi igazione, insieme a s umen i a anza i di il aggio delle ice che pe suppo a e un
ecupe o e icien e delle in o mazioni ile an i.
L’obie i o p incipale della KBP è di unge e da eposi o y comple o e s umen o di isualizzazione, in eg ando u i i da i condi isi
all’in e no del p oge o TRIQUETRA, in un ambien e uni ica o e in e a i o. Seguendo s anda d iconosciu i a li ello in e nazionale, a
cui quelli del Open Geospa ial Conso ium (OGC) e del F amewo k In as uc u e o Spa ial In o ma ion in he Eu opean Communi y
(INSPIRE), la KBP ga an isce in e ope abili à, coe enza e una app esen azione di al a quali à dei da i a i a i si i del pa imonio cul u ale.
Ca a e is ica ondamen ale della KBP è la sua capaci à di sin e izza e e analizza e di e si se di da i associa i ai si i pilo a del CH.
A a e so la combinazione di da i geospaziali, ambien ali, s o ici e di alu azione del ischio, la pia a o ma cos uisce un cubo di da i
mul idimensionale, una s u u a obus a che pe me e di app esen a e, esplo a e e analizza e in modo e icien e in o mazioni complesse
su più li elli, a cui empo, posizione geog a ica, a o i clima ici, ca a e is iche s u u ali e dei ma e iali, ischi e impa i, ecc.
L’app occio del cubo di da i consen e di co ela e dinamicamen e a iabili di e se, pe me endo agli u en i inali e agli s akeholde s di
es a e in uizioni signi ica i e e s iluppa e s a egie di conse azione basa e sui da i s essi.
TRIQUETRA mi a a c ea e un Sis ema di Suppo o Decisionale (DSS) solido, basa o su e idenze, con l’obie i o di suppo a e la alu-
azione del ischio e le s a egie di mi igazione degli impa i dei cambiamen i clima ici sui monumen i del pa imonio cul u ale. La oolbox
del DSS comp ende due moduli p incipali: il modulo di Quan i icazione della Se e i à del Rischio e il modulo di Selezione e O imizzazione
delle Misu e di Mi igazione. Il p imo mi a a alu a e l’esposizione al ischio e la sua g a i à, il secondo è p oge a o pe p opo e misu e di
mi igazione pe sonalizza e in base alle condizioni e ulne abili à speci iche iden i ica e du an e il p oge o pe ogni si o pilo a del CH.
Il Modulo di Selezione e O imizzazione delle Misu e di Mi igazione è una componen e ondamen ale del DSS, che in eg a la KBP
o endo un a chi io cu a o di misu e di mi igazione speci iche pe ogni si o, s iluppa e nel con es o del p oge o.
Consolidando s umen i di alu azione del ischio, misu e di mi igazione e le e a u a in un’unica pia a o ma in e a i a, il Sis ema di
Suppo o Decisionale (DSS) o e ai p o essionis i del pa imonio cul u ale, e agli s akeholde s ile an i, le in o mazioni più app op ia e.
In gene ale, ques o modulo mi a a suppo a e ice che a anza e su ciascun si o pilo a del pa imonio cul u ale, con ibuendo a miglio a e il
moni o aggio, s iluppa e s a egie di conse azione su misu a e a ua e e icaci misu e di mi igazione del ischio.
I alian Jou nal o Enginee ing Geology and En i onmen
www.ijege.uni oma1.i
IJEGE, Special Issue 1 (2025): 133-140, DOI: 10.4408/IJEGE.2025-01.S-10
E-ISSN 2035-5688 | ISSN 1825-6635 / ©Au ho (s)
134 I alian Jou nal o Enginee ing Geology and En i onmen , Special Issue 1 (2025) www.ijege.uni oma1.i
A. ANASTASIOU, E. MAGKOUFIS, A. TEGOPOULOS, K. MPOTONAKIS, C. KONTOPOULOS & V. CHARALAMPOPOULOU
ABSTRACT
The TRIQUETRA KBP, a co e componen o he TRIQUETRA
DSS, comp ises wo key elemen s: a comp ehensi e da abase
housing all ou pu s om he p ojec ’s li e a u e e iew and a
WebGIS pla o m in eg a ing da a om pilo CH si es such
as Aegina, Choi okoi ia, Epidau us, Kalapodi, Les A gilliez,
Roseninsel, Smuszewo, and Ven o ene. As a dynamic elec onic
eposi o y, he KBP o e s ex ensi e da a and ad anced sea ch
ools o e icien in o ma ion e ie al.
The TRIQUETRA p ojec aims o de elop a obus ,
e idence-based DSS o mi iga e he impac s o clima e change
on CH monumen s. The DSS oolbox includes he Risk Se e i y
Quan i ica ion module and he Mi iga ion Measu e Selec ion
and Op imisa ion module. The la e p o ides ailo ed mi iga ion
measu es o each pilo si e, o e ing angible ecommenda ions
o isk mi iga ion h ough a mul ic i e ia sea ch ea u e ha
allows il e ing based on cos , ime ame, and opological
e ec s (Ioannidis e alii, 2024).
Designed o adap abili y and scalabili y, he module
le e ages he KBP da abase o p opose solu ions by assessing
si e compa ibili y wi h o he s acing simila haza ds. Suppo ing
ad anced esea ch, i acili a es in o med decision-making,
enhanced moni o ing, and ailo ed p ese a ion s a egies,
con ibu ing o he long- e m p o ec ion o CH si es.
Keywo ds: cul u al he i age, decision suppo sys em, p ese a ion,
mi iga ion measu es, clima e change, knowledge base pla o m,
opological e ec , da abase, p o ec ion measu es, ailo ed isk
mi iga ion s a egies, geospa ial map, WebGIS
INTRODUCTION
In his e e -changing echnological landscape, e icien
da a managemen as well as accessibili y o o ganisa ional
knowledge a e undamen al o os e ing inno a ion, op imising
ope a ions and enhancing s a egic decision-making. This
kind o capabili ies is pa icula ly c ucial in he ield o CH
managemen , p o ec ion and p ese a ion, whe e dealing wi h
complex da ase s is key o de eloping e idence-based s a egies
o sa egua ding CH si es agains a ious haza ds, anging om
clima e change (CC) and na u al disas e s o human ac i i ies.
As a esul , KBPs eme ge as pi o al ools o da a
in eg a ion and isualisa ion in a se ies o indus ies and ields
such as cul u al he i age, heal h, anspo a ion, ag icul u e
e c., eeding DSS solu ions ha se e as key s a egies o
enabling da a-d i en decision-making leading o he holis ic
app oach o he opic a hand.
In he case o KBPs, PopHR is a dis inc i e example o a
KBP o popula ion heal h da a, p o iding use s wi h aluable
insigh s in o public heal h ends (Shaban-Nejad e alii, 2016),
while PDSIDES suppo s he de elopmen and op imisa ion o
enginee ing sys ems p o iding knowledge ega ding he design
o such sys ems (Ming e alii, 2018). Fu he mo e, a ious
eme ging comme cial KBPs p o ide s akeholde s wi h powe ul
ools o da a usion, managemen and sha ing, unde lining he
impo ance o digi al eposi o ies in a se ies o sec o s.
Concu en ly, WebGIS echnology has e ol ed consis en ly,
becoming an in eg al ool o a di e se a ie y o s akeholde s,
p o iding capabili ies which include in e ac i e accessibili y
o geospa ial da a, eal- ime da a in eg a ion and ad anced
GIS-based analysis ools. The applica ion o WebGIS ac oss
a ious domains has been he objec i e o se e al s udies in
ecen yea s, including he de elopmen o a WebGIS o he
holis ic moni o ing o c i ical in as uc u es combining ea h
obse a ion and in-si u da a o he a ea o Wes Peloponnese,
G eece in he con ex o PROION p ojec (Magkou is e alii,
2022), as well as he People&Fi e WebGIS o he ep esen a ion
o he assessmen o wild i e isk (Mileu e alii, 2024).
KBPs and WebGIS play a c ucial ole in he de elopmen o
obus DSS solu ions, p o iding hem wi h all ele an da a in
o de o enable in o med decision-making and s a egic planning,
wi h no able applica ions such as in clinical diagnos ics o
assis ing medical p o essionals in e alua ing pa ien symp oms
and moni o ing disease p og ession (Kawamo o e alii, 2005),
o in disas e managemen , enabling eal- ime disas e esponse
coo dina ion deli e ing an in eg a ing amewo k o eme gency
p epa edness (Chen e alii, 20008).
This manusc ip aims o p o ide an o e iew o he
TRIQUETRA KBP which se es as an elec onic eposi o y
p o iding all ele an da a o he TRIQUETRA DSS, which
is also p esen ed in he con ex o his pape . In pa icula ,
he Mi iga ion Measu e Selec ion and Op imisa ion module
and i s ela ion o he KBP is p esen ed, de ailing i s design,
unc ion and cu en con en s.
GENERAL DESCRIPTION OF THE TRIQUETRA KBP
The TRIQUETRA KBP is a comp ehensi e elec onic eposi o y
inco po a ing a a ie y o ad anced sea ch unc ionali ies enabling
disco e abili y, o ganising and ca ego isa ion o he p ojec da a.
The a chi ec u e o he KBP is buil a ound wo dis inc
componen s: he Bibliog aphy componen and he WebGIS
componen . These wo key applica ions o he pla o m se e
as hub con aining all he da a and in o ma ion ela ed o he
pilo CH si es o he p ojec (Fig. 1).
Speci ically, a wide ange o scien i ic epo s, esea ch pape s
and ele an li e a u e a e lis ed in he Bibliog aphy componen ,
as a esul o he ho ough li e a u e e iew conduc ed h ough he
i s yea o he p ojec . In he con ex o his e iew, a classi ica ion
sys em was de eloped based on speci ic c i e ia including i le,
coun y, ype o isk, moni o ing me hods, mi iga ion measu es and
ele an ime pe iods o each CH si e ha is lis ed.
135
I alian Jou nal o Enginee ing Geology and En i onmen , Special Issue 1 (2025) www.ijege.uni oma1.i
AN ADVANCED KNOWLEDGE BASE PLATFORM AND A DECISION SUPPORT SYSTEM FOR SAFEGUARDING CULTURAL HERITAGE
Concu en ly, he WebGIS componen hos s all geospa ial
da ase s ha a e ela ed o he pilo CH si es o TRIQUETRA,
compiling he ou comes o he asks o he p ojec . The WebGIS
componen also seamlessly in eg a es EU web se ices, such as
Cope nicus Se ices and on-si e obse a ion open se ices.
In o de o ensu e da a in eg a ion and in e ope abili y,
he KBP le e ages open OGC (Open Geospa ial Conso ium)
web se ices, adhe ing o s anda dised amewo ks o da a
exchange, such as Web Map Se ice (WMS) o deli e ing map
laye s as as e images and Web Fea u e Se ice (WFS) o he
p o ision o ec o -based geospa ial da ase s.
The Web Se e ac s as a ga eway ha p ocesses clien eques s,
e.g. inqui ies o speci ic geospa ial da ase s ha a e s o ed in
he KBP. These eques s a e edi ec ed o an open-sou ce se e ,
esponsible o handling and gene a ing he app op ia e esponse,
which is hen con eyed back o he Web Se e . In u n, he Web
Se e s e u ns he esul s o he clien . This ype o s eamlined
communica ion enables op imal sys em pe o mance, ensu ing he
simul aneous and e icien managemen o mul iple clien eques s.
Fo each pilo CH si e, a classi ica ion p ocess esembling he
one conduc ed du ing he li e a u e e iew p ocess was ca ied ou ,
based on he ype and cha ac e is ics o a ailable da a. These include
di e se da ase s, such as his o ical and a chaeological eco ds,
opog aphic da a (such as ae ial pho og aphs, o hopho os, DEMs
and poin clouds), geophysical da a, clima ology da a e c. (Tab. 1).
GENERAL DESCRIPTION OF THE TRIQUETRA DSS
Complemen ing he TRIQUETRA KBP, he TRIQUETRA
DSS is designed o p o ide a holis ic app oach o managing
and sa egua ding he pilo CH si es. A he co e o he DSS is a
use -cen ed app oach, whe e po en ial use s, s akeholde s and
policymake s c ea ed use s o ies which de ined he expec ed
unc ionali ies o he DSS. These scena ios co e he po en ial
needs and in e ac ions o all ele an s akeholde s wi h he
pla o m, enabling he sys em o le e age knowledge and da a
om he adjacen KBP.
The concep o he DSS is o in eg a e p ojec ou pu s such
as isk iden i ica ion, assessmen and quan i ica ion, in o de o
Fig. 1 - The homepage o he TRIQUETRA KBP depic ing he wo componen s
Tab. 1 - S uc u e o laye olde s and da a ypes o he WebGIS componen
136 I alian Jou nal o Enginee ing Geology and En i onmen , Special Issue 1 (2025) www.ijege.uni oma1.i
A. ANASTASIOU, E. MAGKOUFIS, A. TEGOPOULOS, K. MPOTONAKIS, C. KONTOPOULOS & V. CHARALAMPOPOULOU
de e mine he le el o which he pilo CH si es a e h ea ened, and
p o ide a lis o ailo ed mi iga ion measu es o hei p o ec ion.
A use s o y is a b ie , s uc u ed desc ip ion o a so wa e
ea u e o equi emen , as de ined om he pe spec i e o he
po en ial use and ypically ollows he o ma :
“As a ype o use , I wan o some goal so ha some eason.”
(Lucassen e alii, 2016).
As soon as he use s o ies a e ga he ed, hey a e classi ied based
on di e en c i e ia depending on he needs o ele an s akeholde s.
A e wa ds, he TRIQUETRA DSS is designed o sea ch and analyse
he li e a u e con ained in he Bibliog aphy componen o he KBP,
based on use -de ined keywo ds ega ding a speci ic CH si e.
In he con ex o he Mi iga ion Measu e Selec ion and
Op imisa ion module, he DSS ollows a speci ic pipeline s uc u ed
in he o m o s o y elling, whe e he use p o ides de ailed
in o ma ion abou he monumen a hand, including he po en ial
haza ds i aces, and in eal- ime, he module e ie es and sugges s
mi iga ion measu es ha ha e been success ully applied in simila
cases encoun e ed in he Bibliog aphy componen o he KBP.
The scena io-based in e ace guides he use h ough s uc u ed
inpu ields, which a e ei he manually yped o selec ed om
d opdown menus ega ding he ollowing pa ame e s: (a) coun y,
(b) pilo a ea, (c) na u al en i onmen , (d) his o ical pe iod, (e) ype
o monumen and ( ) ype o isk as shown in Figu e 2.
Each o he a o emen ioned ca ego ies holds a di e en
le el o signi icance in he mi iga ion measu e selec ion p ocess,
meaning hey con ibu e wi h a di e en weigh o he inal
ecommenda ion sugges ed by he module. Taking in o accoun
he equi emen s o he p ojec and he use s o ies p o ided by
ele an s akeholde s, he ype o monumen and he ype o isk
we e gi en he highes p io i y. Nex , he na u al en i onmen in
which he monumen is loca ed is conside ed, as i plays a key
ole in he de e mina ion o po en ial haza ds and ulne abili ies.
Finally, he his o ical pe iod, coun y and speci ic loca ion o he
monumen a e aken in o conside a ion, wi h he la e limi ing
he esul s o he li e a u e ha explici ly men ions he monumen
o in e es , conside ing he ac ha he ecommended mi iga ion
measu es hea ily ely on he deg ee o simila i y be ween he CH
si e o in e es and documen ed examples in he KBP.
The use can hen e ine and op imise he esul s e en u he ,
se ing a se ies o pa ame e s such as he cos , implemen a ion
ime ame, a ea o applica ion, opological e ec and isk sco e
ange, as ou lined in Table 2.
These alues ep esen a quali a i e assessmen o each
p oposed mi iga ion measu e, based on ele an li e a u e whe e
hese measu es ha e been implemen ed and e alua ed.
To illus a e he unc ionali y o he module, an example
use s o y is p esen ed. In his use s o y, he CH si e o in e es
is loca ed in Po ugal, namely he G ilos Chu ch, a ba oque
chu ch which is pa o an u ban landscape in Po o and is
h ea ened by he isk o looding. Fo his use s o y, some o he
p oposed mi iga ion measu es include (i) adap a ion plans, (ii)
disas e esilience planning and (iii) coas al dunes. The sco e o
compliance o each o he p oposed measu e is highly in luenced
by he ca aloguing o pape keywo ds, which de i e om he
li e a u e e iew conduc ed du ing he de elopmen phase o he
KBP. Thus, i he speci ic CH si e o in e es is di ec ly e e enced
in a pape , he sys em ypically assigns a 100% compliance sco e
o he mi iga ion measu es e e enced in he pape , since hey
ha e al eady been applied o ha CH si e.
DESIGN AND IMPLEMENTATION
The TRIQUETRA KBP adop s a dual- on -end
a chi ec u al app oach, sepa a ing he Use In e ace (UI) in o
wo dis inc componen s: he Bibliog aphy and he WebGIS, as
men ioned be o e. This design choice is d i en by he need o
accommoda e di e se use equi emen s in da a in e p e a ion
and isualisa ion, ensu ing an op imal use expe ience, while
also conside ing ha each componen manages di e en ypes
o da ase s, which co espond o di e en ypes o ac i i ies.
Simila ly, he UI o he Mi iga ion Measu e Selec ion
and Op imisa ion module o he DSS aims o p o ide
op imal pe o mance and scalabili y, le e aging he ad anced
capabili ies o he Reac .js amewo k, which enables he
in e connec ing componen s app oach o he pla o m o
e icien ende ing and scalabili y.
The p ima y goal o he on -end design is o ensu e
seamless in eg a ion o he module wi h he p e-exis ing
TRIQUETRA componen s, namely he KBP, while main aining
alignmen wi h he o e all design ision. Mo eo e ,
Fig. 2 - Example o he scena io-based use in e ace
Tab. 2 - Use -de ined op imisa ion pa ame e s
137
I alian Jou nal o Enginee ing Geology and En i onmen , Special Issue 1 (2025) www.ijege.uni oma1.i
AN ADVANCED KNOWLEDGE BASE PLATFORM AND A DECISION SUPPORT SYSTEM FOR SAFEGUARDING CULTURAL HERITAGE
pe o mance op imisa ion echniques a e implemen ed o
imp o e in e ac ion luidi y and sys em e iciency, ocusing
on in ui i e na iga ion, accessibili y and use engagemen ,
ully emb acing he use -cen ed design app oach.
Bibliog aphy componen
In he Bibliog aphy componen , da a is displayed in a abula
o ma , simila o adi ional da abases, ensu ing a s uc u ed and
in ui i e p esen a ion. The use is able o in e ac wi h he da a
h ough able managemen ea u es, including il e ing op ions and
so ing unc ionali ies, as well as h ough an in eg a ed map ool.
The map ool se es as an al e na i e, mo e isual sea ch op ion,
dynamically upda ing bo h he map display and he abula da a
based on he cu en map ex en de ined by he use .
A da a able is an e ec i e me hod o analysing and
p esen ing la ge da ase s wi h a a ie y o di e en ields and
en ies, p o iding a clea ep esen a ion o in o ma ion, while
also con eying he scale and di e si y o he da ase .
The Bibliog aphy componen in eg a es a abula iew o
he da a combined wi h an in e ac i e map, o e ing a de ailed
desc ip ion o each pape and i s a ia ions, while also ca ego ising
hem based on hei geog aphical ele ance as shown in Figu e 3.
WebGIS componen
The WebGIS module u ilises MapBox GL o isualise
geospa ial da a and laye s collec ed and gene a ed h oughou
he p ojec , ende ing hem in a 3D en i onmen wi h ad anced
isualisa ion capabili ies. Compa ed o o he al e na i es, MapBox
GL o e s a signi ican ly lowe ne wo k bandwid h equi emen ,
enhancing pe o mance and accessibili y (Zunino e alii, 2020).
To ensu e in ui i e na iga ion, he pla o m o ganises geospa ial
da a in o nes ed componen s, simpli ying na iga ion among laye s
and poin clouds, while p ese ing da a in eg i y and consis ency.
The WebGIS componen inco po a es he same na iga ion
ools as he Bibliog aphy componen , including pan, zoom,
il and sea ch unc ions, while also p o iding addi ional
unc ionali ies such as he abili y o keep mul iple laye s
ac i a ed simul aneously and manage hem collec i ely,
cus omise map s yles based on use -needs and isualise 3D
ep esen a ions o CH si es h ough poin cloud da a (Figu e 4).
DSS calcula ion engine
The Mi iga ion Measu e Selec ion and Op imisa ion module
basically comp ises o a wo-s ep p ocess, namely a weigh ed-
ma ching sco ing algo i hm which gene a es a “simila i y
con idence sco e” i each bibliog aphic en y-based n use -
p o ided keywo ds. The second is a il e ing algo i hm ha u he
e ines and op imises he e ie ed en ies acco ding o use -de ined
c i e ia, ensu ing mo e ele an and p ecise esul s o use -needs.
The UI o he DSS module is designed a ound he concep o
in e ac i e digi al s o y elling, allowing use s o c ea e hei own
scena io wi h guided assis ance om he module i sel .
Use s a e encou aged o engage wi h he module om
he momen hey ini ia e he sys em, ensu ing an in e ac i e
expe ience, cons uc ing hei own s o y choosing o yping he
di e en ypes o keywo ds he module equi es o ac i a e he
que y p ocess as p esen ed in Figu e 5.
The module hen gene a es a anked lis o p oposed
mi iga ion measu es, e alua ed based on he c i e ia p e iously
men ioned. The anking ollows a low- o-high classi ica ion
Fig. 3 - The UI o he Bibliog aphy componen o he KBP
138 I alian Jou nal o Enginee ing Geology and En i onmen , Special Issue 1 (2025) www.ijege.uni oma1.i
A. ANASTASIOU, E. MAGKOUFIS, A. TEGOPOULOS, K. MPOTONAKIS, C. KONTOPOULOS & V. CHARALAMPOPOULOU
sys em, indica ing he p oximi y o he cha ac e is ics o he
CH si e o in e es o he CH si e e e enced in he li e a u e.
This p oximi y is isually ep esen ed in he uppe igh co ne
o each mi iga ion measu e ca d using a colou scale (g een-
yellow- ed) indica ing he le el o simila i y.
Addi ionally, each mi iga ion measu e ca d p o ides
key de ails e e ing o he moni o ing me hod applied in
he e e enced s udy and he iden i ica ion numbe o he
co esponding publica ion, based on he li e a u e e iew
conduc ed in he con ex o he KBP (Figu e 6).
Finally, he use can il e he mi iga ion measu es p oposed
by he module, in o de o ge an op imised sugges ion based on
hei needs, using he co esponding il e ing ools in he menu
loca ed abo e he lis o he esul s.
CONCLUSIONS
The moni o ing, p ese a ion and isk assessmen o
CH si es p esen a mul idimensional challenge, equi ing
a sys ema ic, da a-d i en app oach o in o med decision-
making, allowing s akeholde s o manage complex da ase s,
Fig. 4 - The UI o he WebGIS componen o he KBP
Fig. 5 - The p ocess o c ea ing a “s o y”
139
I alian Jou nal o Enginee ing Geology and En i onmen , Special Issue 1 (2025) www.ijege.uni oma1.i
AN ADVANCED KNOWLEDGE BASE PLATFORM AND A DECISION SUPPORT SYSTEM FOR SAFEGUARDING CULTURAL HERITAGE
assess isks and de elop holis ic conse a ion s a egies.
De eloped wi hin he TRIQUETRA p ojec , he KBP and he
DSS along wi h i s modules, se e as comp ehensi e ools owa ds
his di ec ion. On one hand, he KBP ep esen s a comp ehensi e
digi al eposi o y, consolida ing up- o-da e knowledge on CH si es
based on li e a u e e iew, bu also on he pilo CH si es o he
p ojec . On he o he hand, he DSS and i s modules ac i ely acili a e
e idence-based decision-making, in eg a ing geospa ial analysis
ools, isk assessmen me hodologies and mi iga ion s a egies.
Ul ima ely, bo h ools a e se o play a pi o al ole in he
sys ema ic and s a egic managemen o CH si es, os e ing a
sus ainable echnology-d i en app oach o CH sa egua ding,
by suppo ing collabo a i e decision-making h ough he
in eg a ion o a wide a ie y o da ase s.
ACKNOWLEDGMENTS
This esea ch has been conduc ed as pa o TRIQUETRA,
which has ecei ed unding om he Eu opean Union’s
Ho izon Eu ope Resea ch and Inno a ion P og amme unde
G an Ag eemen No. 101094818.
Fig. 6 - An example o he lis o p oposed mi iga ion measu es
REFERENCES
Chen R., Sha man R., Rao R. & Upadhyaya S. (2008) - Coo dina ion in Eme gency Response Managemen . Communica ions o he ACM., 51(5): 66-73.
h ps://doi.o g/10.1145/1342327.1342340
Ioannidis C., Ve ykokou S., Soile S., Is a i D., Spy akos C., Sa is A., Ak i idis D., Feidas H., Geo goulias A. K., T inga E., Zanis P., Geo giadis
C., Ma ino S., Feliziani F., Ma moni G. M., Ce a D., O inge M., Bacho e F., Anas asiou A., Cha alampopoulou V., K ebs P., Mizaiko
B., Roule J.-C., Bullia d X., Dudnik G. & Any an is G.C. (2024) - Sa egua ding Ou He i age - The TRIQUETRA P ojec App oach. He i age,
7(2): 758-793. h ps://doi.o g/10.3390/he i age7020037.
Kawamo o K., Houlihan C. A., Balas E. A. & Lobach D. F. (2005) - Imp o ing clinical p ac ice using clinical decision suppo sys ems: a sys ema ic
e iew o ials o iden i y ea u es c i ical o success. BMJ (Clinical esea ch ed.), 330(7494): 765. h ps://doi.o g/10.1136/bmj.38398.500764.8F
Lucassen G., Dalpiaz F., We J. M. V. D. & B inkkempe S. (2016) - The Use and E ec i eness o Use S o ies in P ac ice. In: Dane a M., Pas o O.
(eds) Requi emen s Enginee ing: Founda ion o So wa e Quali y. REFSQ 2016. Lec u e No es in Compu e Science ol. 9619. Sp inge , Cham: 205-
222. h ps://doi.o g/10.1007/978-3-319-30282-9_14
Magkou is E., Chlo okos as S., Valdese a L., Ky iou A. & Nikolakopoulos K. (2023) - A web GIS pla o m o c i ical in as uc u e moni o -
ing wi hin PROION p ojec . P oc. SPIE 12734, Ea h Resou ces and En i onmen al Remo e Sensing/GIS Applica ions XIV: 1273415. h ps://doi.
o g/10.1117/12.2679457
Mileu N., Zêze e J. L. & Be gonse R. (2024) - People&Fi e webGIS ool o wild i e isk assessmen . Me hodsX, 12: 102709. h ps://doi.o g/10.1016/j.
mex.2024.102709
140 I alian Jou nal o Enginee ing Geology and En i onmen , Special Issue 1 (2025) www.ijege.uni oma1.i
A. ANASTASIOU, E. MAGKOUFIS, A. TEGOPOULOS, K. MPOTONAKIS, C. KONTOPOULOS & V. CHARALAMPOPOULOU
Ming Z., Nellippallil A.B., Yan Y., Wang G., Goh C.H., Allen J.K. & Mis ee F. (2018) - PDSIDES—A Knowledge-Based pla o m o decision suppo
in he design o enginee ing sys ems. Jou nal o Compu ing and In o ma ion Science in Enginee ing, 18(4): 04100. h ps://doi.o g/10.1115/1.4040461
Shaban-Nejad A., La igne M., Okhma o skaia A. & Bucke idge D. L. (2016) - PopHR: a knowledge-based pla o m o suppo in eg a ion analysis and
isualiza ion o popula ion heal h da a. Annals o he New Yo k Academy o Sciences, 1387(1): 44-53. h ps://doi.o g/10.1111/nyas.13271
Zunino A., Velázquez G., Celemín J., Ma eos C., Hi sch M. & Rod iguez J. (2020) - E alua ing he pe o mance o h ee popula Web mapping lib a -
ies: A case s udy using A gen ina’s li e quali y index. ISPRS In e na ional Jou nal o Geo-In o ma ion, 9(10): 563.
Recei ed Feb ua y 2025 - Accep ed June 2025
