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Design of a trust system for e-commerce platforms based on quality dimensions for linked open datasets

Valencia-Martinez, Camilo Alejandro; Gaona-García, Paulo Alonso; Montenegro-Marin, Carlos Enrique

Abstract

This article describes a proposal about a trust system for e-commerce platform based on semantic web technologies and trust dimensions rules. We try to expose a system that allow to manage communication processes between e-commerce platforms and users in a trustworthy manner. It allows the data flows and transactions gain more trust across the entire process. All of this can be achieved through the inference of rules exposed in the defined ontology, complemented by a cloud-based system with microservices architecture. With the implementation of the system through an e-commerce platform, could consume data from the microservices in order to get inferences about its clients that want to buy or sell something within its system. This system was created based on rules defined by the ontology, as well as the microservices could be used to register information about multiple e-commerce transactions. The result of this work is the Ontology and semantic web rules defined and implemented through protege.

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Copy igh © 2023 by Au ho /s and Licensed by IADITI. This is an open access a icle dis ibu ed unde he C ea i e Commons A ibu ion License which pe mi s un es ic ed use, dis ibu ion, and ep oduc ion in any medium, p o ided he o iginal wo k is p ope ly ci ed. Jou nal o In o ma ion Sys ems Enginee ing and Managemen 2023, 8(1), 18756 e-ISSN: 2468-4376 h ps://www.jisem-jou nal.com/ Resea ch A icle Design o a us sys em o e-comme ce pla o ms based on quali y dimensions o linked open da ase s Camilo Alejand o Valencia-Ma inez1, Paulo Alonso Gaona-Ga cía1 *, Ca los En ique Mon eneg o-Ma in1 1 Uni e sidad Dis i al F ancisco José de Caldas, Colombia * Co esponding Au ho : pagaonag@udis i al.edu.co Ci a ion: Valencia-Ma inez, C. A., Gaona-Ga cía, P. A., & Mon eneg o-Ma in, C. E. (2023). Design o a us sys em o e-comme ce pla o ms based on quali y dimensions o linked open da ase s. Jou nal o In o ma ion Sys ems Enginee ing and Managemen , 8(1), 18756. .h ps://doi.o g/10.55267/iad .07.12741 ARTICLE INFO ABSTRACT Recei ed: 31 Oc 2022 Accep ed: 23 Dec 2022 This a icle desc ibes a p oposal abou a us sys em o e- comme ce pla o m based on seman ic web echnologies and us dimensions ules. We y o expose a sys em ha allow o manage communica ion p ocesses be ween e- comme ce pla o ms and use s in a us wo hy manne . I allows he da a lows and ansac ions gain mo e us ac oss he en i e p ocess. All o his can be achie ed h ough he in e ence o ules exposed in he de ined on ology, complemen ed by a cloud- based sys em wi h mic ose ices a chi ec u e. Wi h he implemen a ion o he sys em h ough an e- comme ce pla o m, could consume da a om he mic ose ices in o de o ge in e ences abou i s clien s ha wan o buy o sell some hing wi hin i s sys em. This sys em was c ea ed based on ules de ined by he on ology, as well as he mic ose ices could be used o egis e in o ma ion abou mul iple e- comme ce ansac ions. The esul o his wo k is he On ology and seman ic web ules de ined and implemen ed h ough p o ege. Keywo ds: LOD, e-comme ce, seman ic web, mic ose ices, us dimensions, Web 3.0 INTRODUCTION Th ough he con ingencies p esen ed in he Co id-19 pandemic, he e was a g ea explosion in he use o pla o ms based on elec onic comme ce in all aspec s. Businesses ha s ill did no manage hei ansac ions h ough he In e ne ha e been o ced o s a Digi al ans o ma ion p ocesses. I is known ha he e a e e-comme ce pla o ms whose owne is a business ha sells goods and wan s o each i s cus ome s di ec ly (B2C), as well as o he pla o ms ha p o ide hei se ice as a channel whe e hei cus ome s can be bo h selle s and buye s and p o ides an in e media y se ice be ween he wo o ca y ou a ansac ion. The g ow h ha has been aking place on he In e ne o ca y ou ansac ional p ocesses in ol es a se ies o elemen s ha allow he in eg a ion o s a egies om secu i y c i e ia associa ed wi h he exchange o da a be ween clien s and digi al comme ce, o measu ing he le els o epu a ion ha each one can handle. o hese solu ions. I added o hese c i e ia, we associa e he in luence ha he di e en channels and social media mus expand co e age and isibili y o hese e- comme ce s a egies, a se ies o ac o s associa ed wi h he epu a ion le els o hese channels mus be conside ed, as well as o each o hese ading pla o ms. Based on he secu i y aspec s, solu ions based on single au hen ica ion a e being es ablished, such as hose p oposed in (Alabi, Whi e, & Belo , 2020), (Ku uwi aa achchi, Abeygunawa dena, Rupasingha, & Uda a, 2019), (Wang, Zhao, & Zhong, 2019), o (Mahmood, 2009; A ias-Ca acas, 2018). Howe e , he da a ha was gene a ed in some elec onic comme ce es ablishmen s allows o ano he p inciple o de e mine i s use and, wi hin p e iously es ablished us c i e ia, can gene a e ce ain le els o eliabili y o he use o hese ansac ional channels and acili a e pu chase p ocesses h ough digi al pla o ms. Based on his scena io, he g ow h o digi al pla o ms based on e-comme ce, and he new so wa e applica ion solu ions a ailable in he ma ke , his a icle aims o p esen a p oposal o a model in o de o acili a e us ela ionships be ween clien s Valencia-Ma inez C. e al. / J INFORM SYSTEMS ENG, 8(1), 18756 2 / 8 and es ablishmen h ough e-comme ce pla o ms. The model p oposed is h ough mechanisms based on p inciples o us and open da a o all ansac ion p ocesses ca ied ou on eme ging pla o ms. This wo k used a quasi-expe imen al me hod in o de o collec he di e en app oaches o us - based me ics o e alua ion o web esou ces. Once we go he enough in o ma ion and used a heo e ical me hod o analysis and syn hesis o p opose an on ological model based on me hon ology (Gómez-Pé ez, Fe nández-López, & Co cho, 2006), he main on ological design me hodology un il now o pe o m he us e alua ion. BACKGROUND Linked Open Da a (LOD), ep esen ad an ages in o de o acili a e hei euse and ca y ou da a consump ion on se e al knowledge a eas. F om he public pe spec i e, we can ound p oposals associa ed wi h e-go e nmen (Klímek, Kuče a, Nečaský, & Chlapek, 2018) and (O iz-Rod iguez e al., 2022), wi hin he ou ism sec o cases ha e been applied o acili a e he loca ion o poin s o in e es h ough geo e e enced da a (Lemus, Bena ides, Gaona-Ga cía, Mon eneg o-Ma ín, & Ga zón, 2020), (Yochum, Chang, Gu, & Zhu, 2020)), associa ed wi h educa ion p ocesses, scena ios ha e been iden i ied o acili a e lea ning p ocesses (Pe ei a, Siquei a, Nunes, & Die ze, 2018). The base o he LOD is he seman ic web p oposed by (Be ne s-Lee e al., 2001) wi h he aim o gi e mo e meaning o he web wi h he usage o on ologies o desc ibe he esou ces and ela ionships be ween hem. In he e-comme ce sec o , he e a e p oposals ha use LOD concep s in o de o ob ain be e ela ionships be ween clien ’s and e-comme ce pla o ms based on ecommende sys ems (Peska & Voj as, 2015) and (Tomeo, Fe nández-Tobías, Di Noia, & Can ado , 2016), p oposals ha a e p esen ed as scena ios ha p omo e in e ac ion be ween clien s and, in gene al, be ween s akeholde s h ough he di e en elec onic comme ce pla o ms a ailable in he ma ke . Howe e , o de e mine us c i e ia, i is necessa y o de e mine quali y aspec s associa ed wi h da ase ha is sha ed openly, so ha hey can la e be linked as solu ions based on Linked Open Da a (LOD). To de e mine hese quali y le els, his s udy is based on he wo k ca ied ou by (Za e i e al., 2013), who made a compendium o a iables in o de o e alua e he quali y o LOD da ase s by classi ying 26 quali y dimensions g ouped in o 5 dimensions as p esen ed in he Figu e 1. These aspec s a e p esen ed in his s udy o de e mine us c i e ia, i is necessa y o de e mine quali y aspec s associa ed wi h he da ase ha is sha ed openly, so ha hey can la e be linked as solu ions based on Linked Open Da a (LOD). Figu e 1. Linked da a quali y dimensions (Za e i, y o os, 2013) T us dimensions a e hose ha ocus on he eliabili y o in eg i y o da a se s. The i e dimensions ha con i m his g oup a e:  O igin: This dimension e e s o he me ada a o ep esen , manage and use in o ma ion abou he o igin o he da a. Me ics o p o enance can be ob ained by e alua ing he me ada a associa ed wi h he sou ce.  Ve i iabili y: This dimension e e s o he deg ee o which a da a consume can assess whe he he da a se is co ec and he e o e i s in eg i y. I can be measu ed by a hi d pa y, i he da a se is linked o he sou ce o wi h he p esence o a digi al signa u e.  Repu a ion: Acco ding I is a judgmen made by a hi d pa y and ha de e mines he in eg i y o an au ho , be i a pe son o an o ganiza ion. The en i y publishing he da a mus be iden i iable by some means. I can be e alua ed h ough communi y su eys o ex e nal links.  C edibili y: Deg ee o which he in o ma ion is accep ed as co ec , eal, ue and c edible.  Discha ge: This dimension gua an ees he possibili y o da a euse by a consume . I can be measu ed h ough he desc ip ion o euse pe missions. All dimensions o us a e ela ed o c edibili y, and i you me ics measu e high, his implies ha c edibili y is also high. In he ollowing sec ions, he design and de elopmen o he model o he e alua ion o hese me ics applied o e-comme ce will be p esen ed oge he wi h he a chi ec u e o he pla o m, based on mic ose ices. Valencia-Ma inez C. e al. / J INFORM SYSTEMS ENG, 8(1), 18756 3 / 8 DEFINITION OF CONCEPTUAL ARCHITECTURE OF THE PLATFORM This s udy is expe imen al and p oposes o deploy a mode n a chi ec u e based on mic ose ices o asse le els o us on ac o s in ol ed in ansac ions on E-comme ce pla o ms. Explo a ion ins umen s we e used, compiling bibliog aphy e e ing o esou ce us assessmen models. The componen s de ined in he concep ual a chi ec u e o he pla o m a e add essed in Figu e 2. Figu e 2. P oposed us -based sys em a chi ec u e o E- comme ce pla o ms (Au ho ’s owne ship) The Figu e 2. co esponds o he p oposed a chi ec u e in his wo k, each componen includes he ollowing aspec s:  An ex ension o he LOD esou ce que y seman ic model, o e alua ing con idence le els on esou ces s o ed in a da abase o on ologies.  A easone o e alua e seman ic us ules.  A se o mic ose ices o cap u ing he me ics associa ed wi h us le els ha eComme ce pla o ms can p o ide.  A mic ose ice o que ying he le els o us on he ac o s o he pla o ms.  An API Ga eway o he exposu e o se ices in a secu e way. EVALUATION PROPOSAL OF TRUST DIMENSIONS APPLIED TO E- MARKETING Based on he wo k o (Za e i e al., 2013) as a e e ence, he dimensions, and me ics o wo k wi hin he On ology a e desc ibed. Below, Table 1 desc ibes he mos ele an . Table 1. P oposed dimensions o us (own au ho ), based on us dimensions collec ed adap ed by (Za e i e al., 2013) T us dimension Desc ip ion Fi ed Dimension Me ics Me ada a abou he da ase P esence o i le, con en and URI o he da ase Me ada a abou he E-comme ce pla o m, URL, Name Pla o m con ains o does no con ain me ada a abou he company Calcula ion o he in eg i y/ eliabili y o RDF s a emen s Using T us ed Anno a ion P o enance in Social Ne wo ks Recommenda ions on he pla o m abou social ne wo ks Sen imen analysis model on social ne wo ks and commen s on pla o ms (-1 Nega i e, 0 neu al, 1 posi i e) De ec he eliabili y and c edibili y o he pe son who publishes Calcula ing a con idence alue be ween -1 (Absolu e Dis us ) and 1 (Absolu e Con idence). Calcula ing us based use a ing me hods o op ion based Reliabili y o he pe son/company ha publishes on he pla o m based on us ela ionships wi h o he pla o ms o use s Ve i ica ion o in o ma ion o he pe son who publishes Indica ing he au ho , hei con ibu o s, he publishe o he da a and hei sou ces Vendo In o ma ion Publica ion FOAF, p esence Pe sonalP o ile Documen Au hen ici y e i ica ion o he da a se I he da ase uses p o enance ocabula y Publishe Repu a ion Su ey in a communi y abou o he s Social media commen s abou selle s Da ase Repu a ion Analyzing e e ences in page ankings by assigning a epu a ion sco e o he da a se T us le els assigned on di e en pla o ms C edibili y o Me a- in o ma ion abou he iden i y o he in o ma ion p o ide check i he p o ide /con ibu o is con ained in a lis o us ed p o ide s Lis gene a ion o us ed pla o ms, selle s, buye s Indica ion o license in unde s andable o ma o machines De ec ion o license indica ion in he oiD desc ip ion P esence o e ms and condi ions associa ed wi h he p o ec ion o pe sonal da a in a o ma unde s andable by machines Valencia-Ma inez C. e al. / J INFORM SYSTEMS ENG, 8(1), 18756 4 / 8 Figu e 3. Adhoc axonomy o concep s gene a ed om On oG aph plugin o So wa e P o égé c ea ed o his wo k (Au ho ’s owne ship) Based on hese c i e ia, he design and implemen a ion o he model is de ined below, based on he in eg a ion o linked da a and on ologies o ca y ou ansac ions h ough pla o ms. DESIGN AND IMPLEMENTATION Fo he design o T us E alua ion On ology in e- Comme ce pla o ms, he Me hon ology me hodology was pa ially applied (Gómez-Pé ez e al., 2006), despi e he ac ha he me hodology has a ound 20 yea s o de elopmen , i is s ill alid and is widely used in he design o on ologies in he p esen day by i s comple eness and has been accep ed in o he a eas o applica ions (Riaño e al., 2022; O iz-Rod iguez e al., 2022; Valencia e al., 2017) and gi en i s speci ici y, i allows he comple e de elopmen and documen a ion o he de eloped On ology. The documen desc ibes he a i ac s gene a ed om he applica ion o he me hodology. Some o hese speci ica ions o i s cons uc ion a e desc ibed below. Taxonomy o concep s An ex ension o he FOAF On ology was made ha con ains en i ies ha can suppo some us ules de ined om he compila ion o (Za e i, y o os, 2013). New en i ies and ela ionships we e added o suppo he ules ha we e no co e ed by FOAF as e idenced in Figu e 3. Figu e 3 shows he axonomy concep g aph, gene a ed om he On oG aph plugin o he P o égé On ology edi ing ool. We can in e p e he g aph like classes and subclasses ela ionship. Each box ep esen s a class and each edge he ela ion be ween wo concep s. Bina y ela ionships be ween concep s, desc ip ion The Table 2 shows he ela ionships be ween concep s added o he On ology o suppo he us model. The ables a e buil om he indica ions o he me hodology used. The Table 2 was build iden i ying and lis ing he concep s equi ed, he ela ionships be ween hem and some speci ica ions o ha ela ionship. A ibu es The Table 3 desc ibes he gene al a ibu es de ined o each concep : The Table 3 was buil desc ibing he a ibu es o he de ined en i ies. Desc ip ion o Fo mal Axioms Fo mal axioms we e de ined o suppo he de ined con idence dimensions, whe e o each dimension he e is an axiom ha allows calcula ing he de ined me ic, hen he Table 4 exposes he mos ep esen a i e. Valencia-Ma inez C. e al. / J INFORM SYSTEMS ENG, 8(1), 18756 5 / 8 Table 2. Rela ions be ween concep s (own au ho ship) based on he ask 5 de ined by me hon ology (Gómez-Pé ez, Fe nández- López, & Co cho, 2006) Table 3. Gene al a ibu es concep s (Au ho ’s owne ship) based on he ask 7 de ined by me hon ology (Gómez-Pé ez, Fe nández- López, & Co cho, 2006) Class a ibu es Name o Concep Type o Value Ca dinali y Values us wo hy Pe son Pla o m Boolean (1.1) T ue,False name Pla o m S ing (1.1) Name o pla o m ce i ica eT us Pla o m Boolean (1.1) T ue,False webAppU l Pla o m S ing (1.1) URL o Pla o m alue T us Value Floa (1.1) 0-1 Table 4. De ini ion o mal axioms (own au ho ) Con idence Dimension Adjus ed Axiom Name Desc ip ion Exp ession Concep s A ibu es/ Rela ionships Me ada a abou he E- comme ce pla o m, URL, Name T us ed pla o m me ada a Exp ession ha alida es he p esence o us ed a ibu es on he pla o m Con ains, Name, URL, O ganiza ion Pla o m O ganiza ion suppo s Recommenda ions on he pla o m abou social ne wo ks T us ed pla o m Exp ession ha alida es i a pla o m is us ed T us Value > 0.5 Pla o m T us Value T us Con idence le el o people who ha e ca ied ou ansac ions wi h he en i y o ac o (Buye Selle ) ansac ional us Rela ionship be ween use s who ha e ca ied ou ansac ions on any pla o m I use A ansac ed wi h use B and use B wi h use C, Use B ans e s he us alue on C o Use A Pe son ansac ion Pe o ms T us Value Use On ologies like FOAF o assign us alues o use s To al Use Con idence Value The con idence alue calcula ed h ough he o he ules o al us = a e age o legacy us , ansac ional T us Value Pe son T us Concep o o igin Name o he Rela ionship In e se ela ionship des ina ion concep Ca dinali y Pe son pe o ms IsPe o medBy T ansac ion 1-n Pla o m suppo s isSuppo edBy T ansac ion 1-n T us Anno a ion isW i enBy W i es Pe son n-1 T us Anno a ion isQuali iedBy Quali ies T us Value 1-1 BlackLis con ains isCon ainedIn Pe son 1-n O ganiza ion p o ides isP o idedBy Pla o m 1-n Pla o m egis e isRegis e edIn Pe son n-n Pla o m belongsTo Ha e O ganiza ion n-1 Pla o m Ce i ica e ce i iedBy Pe son n-n T us Anno a ion alksAbou isMen ionedIn Pe son 1-n Buye buysF om sellsTo Selle n-n Valencia-Ma inez C. e al. / J INFORM SYSTEMS ENG, 8(1), 18756 6 / 8 ANALYSIS OF RESULTS Th ough he me hon ology me hodology, on ologies can be de eloped o ex ended wi h ules capable o in e ing knowledge o a pa icula a ea. In he case o his a icle, i is possible o map us me ics o LOD esou ces o an on ology (eCTEO) wi h ules ha allow e alua ing he us le els o he di e en ac o s o E-comme ce pla o ms ha a e used in ansac ions in he ou ism sec o and ha a e in eg a ed in o a cloud na i e pla o m (eCTEP), based on mic ose ices, which uses a i icial in elligence se ices o complemen he On ology, calcula ing me ics associa ed wi h na u al language p ocessing. Figu e 4. P oposed model The Figu e 4 desc ibes he seman ic pla o m model o es ablishing and alida ing us ules o e alua e use s ac oss di e en pla o ms. The lis ed componen s co e : Es ablishmen o ules o assigning and ans e ing us alues in e ed by he on ology.  I exchange in o ma ion wi h he pla o m o load in o ma ion on us me ics.  Mic ose ices consump ion que ies di ec /He edi a y us le els.  Se o mic ose ices o eed he On ology and s o e ins ances in a g aph-o ien ed da abase.  Mic ose ices ha expose in o ma ion on calcula ed con idence le els.  G aph-o ien ed da abase wi h ins ances o he On ology o con idence calcula ions.  On ology ha de ines he en i ies, ela ionships, p ope ies, and ules necessa y o in e us le els om he in e ac ions cap u ed in he mic ose ices laye . Ex ension o he FOAF On ology. MODEL VALIDATION To ca y ou he alida ion o he model he on ology was implemen ed on he P o ege so wa e. In he Figu e 5 shows he On ology implemen ed on P o ege whe e he ela ionships de ined in he On ology and in e ed by he ules can be seen. Figu e 5. Rela ions be ween classes de ined in P o ege Valencia-Ma inez C. e al. / J INFORM SYSTEMS ENG, 8(1), 18756 7 / 8 Fou ules we e implemen ed based on he o mal Axioms de ined acco ding o he me hodology o in e he us e alua ion a ibu es o he en i ies: con ainsMe ada a Exp ession ha alida es he p esence o us ed me ada a abou he pla o m Pla o m(?p) ^ name(?p, ?n) ^ webAppU l(?p, ?u l) ^ sw lb:equal(?u l, alse) ^ sw lb:equal(?n, alse) -> con ainsMe ada a(?p, alse) T us Wo hyPla o m Ra e us ed pla o ms Pla o m(?p) ^ isQuali iedBy(?p, ? ) ^ alue(? , ? ) ^ sw lb:g ea e Than(? , 0.5) -> us wo hy(?p, ue) inhe i edT us Rule o inhe i ing us om pla o m o use Pla o m(?p) ^ Pe son(?u) ^ us wo hy(?p, ? w) ^ sw lb:equal(? w, ue) ^ ce i ica e(?p, ?u)-> us wo hy(?u, ue) inhe i edT us Rule o inhe i ing us om pla o m o use Pla o m(?p) ^ Pe son(?u) ^ us wo hy(?p, ? w) ^ sw lb:equal(? w, ue) ^ ce i ica e(?p, ?u)-> us wo hy(?u, ue) As nex s eps, he implemen a ion o ou ism ansac ional pla o ms is p oposed, ha is, on e-Comme ce pla o ms ha allow ex ac ing ins ances o he en i ies de ined wi hin he on ology ha suppo s he model and loading hem h ough he APIs de ined wi hin he pla o m. Once he model has been alida ed wi h eal da a cap u ed om pla o ms and social ne wo ks, he comple e a chi ec u e can be deployed as a p o o ype o a us ed pla o m in ou ism sec o s on e- comme ce based on seman ic web. CONCLUSIONS On ology modeling o e s a complemen a y al e na i e o ou h e olu ion echnologies such as big da a, machine lea ning. This allows a be e unde s anding o he s udy p oblem and he app oach o logical ules o in e knowledge wi hin mode n a chi ec u es. Al hough he seman ic web has no had a echnological de elopmen like o he echnologies, he e is lo o use cases ha i can sol e o complemen . To p omo e he use and de elopmen o hese echnologies, i is necessa y o de elop new cloud p oduc s ha acili a e access and de elopmen o solu ions on hese echnologies. One example o his is he Azu e Digi al Twins se ice ha use d on ologies o model aspec s o he eal wo ld. I allows o collec da a om IOT senso s o and o he ansac ional applica ions o explain he eali y. 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