{"id":"https://openalex.org/W4244301268","doi":"https://doi.org/10.1109/bigdata.2018.8622236","title":"An Integrated Knowledge Graph to Automate GDPR and PCI DSS Compliance","display_name":"An Integrated Knowledge Graph to Automate GDPR and PCI DSS Compliance","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W4244301268","doi":"https://doi.org/10.1109/bigdata.2018.8622236"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622236","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047534464","display_name":"Lavanya Elluri","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lavanya Elluri","raw_affiliation_strings":["Information Systems Department, University of Maryland Baltimore County, Baltimore, MD, 21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Department, University of Maryland Baltimore County, Baltimore, MD, 21250","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018761347","display_name":"Ankur Nagar","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur Nagar","raw_affiliation_strings":["Information Systems Department, University of Maryland Baltimore County, Baltimore, MD, 21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Department, University of Maryland Baltimore County, Baltimore, MD, 21250","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048245051","display_name":"Karuna Pande Joshi","orcid":"https://orcid.org/0000-0002-6354-1686"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karuna Pande Joshi","raw_affiliation_strings":["Information Systems Department, University of Maryland Baltimore County, Baltimore, MD, 21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Department, University of Maryland Baltimore County, Baltimore, MD, 21250","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":2.7037,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.92544646,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1266","last_page":"1271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134591341018677},{"id":"https://openalex.org/keywords/conventional-pci","display_name":"Conventional PCI","score":0.46105682849884033},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4212523400783539},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3317907452583313},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17975708842277527},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.072133868932724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134591341018677},{"id":"https://openalex.org/C45393284","wikidata":"https://www.wikidata.org/wiki/Q191012","display_name":"Conventional PCI","level":3,"score":0.46105682849884033},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4212523400783539},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3317907452583313},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17975708842277527},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.072133868932724},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622236","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1998042531","https://openalex.org/W2547654391","https://openalex.org/W2810379475","https://openalex.org/W2898219643","https://openalex.org/W3214074647","https://openalex.org/W6752507611","https://openalex.org/W6803975782"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4297503885","https://openalex.org/W4291164825","https://openalex.org/W4308432472","https://openalex.org/W4307217187","https://openalex.org/W4293040422","https://openalex.org/W2315754583","https://openalex.org/W4298007974"],"abstract_inverted_index":{"Big":[0,57,162,178],"data":[1,29,55,81,154,183],"analytics":[2],"related":[3,137],"to":[4,46,96,111,181],"consumer":[5,28],"behavior,":[6],"market":[7],"analysis,":[8],"opinions,":[9],"and":[10,18,91,120,136],"recommendation":[11],"often":[12],"deal":[13,160],"with":[14,22,139,161],"end":[15],"user's":[16],"derived":[17],"inferred":[19],"data,":[20],"along":[21],"the":[23,34,113,124,130,153,171],"observed":[24],"data.":[25,79],"To":[26],"ensure":[27,97],"protection,":[30],"rules":[31,114],"defined":[32,132],"by":[33,47,116,177],"European":[35],"Union's":[36],"General":[37],"Data":[38,58,64,179],"Protection":[39],"Regulation":[40],"(EU":[41],"GDPR)":[42],"must":[43],"be":[44,175],"adhered":[45],"every":[48],"organization":[49],"using":[50],"Personally":[51],"Identifiable":[52],"Information":[53],"(PII)":[54],"for":[56,73],"analysis.":[59],"Similarly,":[60],"Payment":[61],"Card":[62],"Industry":[63],"Security":[65,142],"Standard":[66],"(PCI":[67],"DSS)":[68],"has":[69],"policy":[70],"guidelines":[71],"specifically":[72],"organizations":[74],"handling":[75],"consumer's":[76],"payment":[77],"card":[78],"Both":[80],"regulation":[82],"policies":[83,155],"are":[84],"currently":[85],"available":[86,169],"only":[87],"in":[88,133,170,186],"textual":[89],"format":[90],"require":[92],"significant":[93],"manual":[94],"effort":[95],"their":[98,187],"compliance.":[99],"We":[100,146],"have":[101,127,147],"developed":[102],"an":[103],"integrated,":[104],"semantically":[105],"rich":[106],"Knowledge":[107,150,165],"Graph":[108,151,166],"(or":[109],"Ontology)":[110],"represent":[112],"mandated":[115],"both":[117],"PCI":[118],"DSS":[119],"EU":[121],"GDPR.":[122],"In":[123],"Ontology,":[125],"we":[126],"also":[128],"identified":[129],"obligations":[131],"these":[134],"regulations":[135],"them":[138],"corresponding":[140],"Cloud":[141],"Alliance":[143],"(CSA)":[144],"controls.":[145],"validated":[148],"this":[149],"against":[152],"of":[156],"major":[157],"vendors":[158],"that":[159,167],"Data.":[163],"This":[164],"is":[168],"public":[172],"domain":[173],"can":[174],"used":[176],"practitioners":[180],"automate":[182],"protection":[184],"compliance":[185],"organization.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
