{"id":"https://openalex.org/W4414359788","doi":"https://doi.org/10.24963/ijcai.2025/1225","title":"On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint)","display_name":"On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint)","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359788","doi":"https://doi.org/10.24963/ijcai.2025/1225"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/1225","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5078922929","display_name":"John Grant","orcid":"https://orcid.org/0000-0001-7503-7703"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon Grant","raw_affiliation_strings":["Department of Computer Science and UMIACS, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and UMIACS, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047977256","display_name":"Francesco Parisi","orcid":"https://orcid.org/0000-0001-9977-1355"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Parisi","raw_affiliation_strings":["Department of Informatics, Modeling, Electronics and System Engineering, University of Calabria,","Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Modeling, Electronics and System Engineering, University of Calabria,","institution_ids":["https://openalex.org/I45204951"]},{"raw_affiliation_string":"Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10951","last_page":"10951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976000189781189,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conceptualization","display_name":"Conceptualization","score":0.628000020980835},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5418000221252441},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5037000179290771},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4537000060081482},{"id":"https://openalex.org/keywords/data-integrity","display_name":"Data integrity","score":0.4523000121116638},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4020000100135803},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.39480000734329224}],"concepts":[{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.628000020980835},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5738999843597412},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5418000221252441},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4677000045776367},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.39480000734329224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39410001039505005},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.3716999888420105},{"id":"https://openalex.org/C26320393","wikidata":"https://www.wikidata.org/wiki/Q597053","display_name":"Functional dependency","level":3,"score":0.3668000102043152},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.34119999408721924},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2969000041484833},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/1225","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Real-world":[0],"data":[1,150],"are":[2,110,194,204],"often":[3],"inconsistent.":[4],"Although":[5],"a":[6,50,71,78,169,179,187],"substantial":[7],"amount":[8],"of":[9,73,124,134,139,154,157,166,189,202],"research":[10,18],"has":[11],"been":[12,31],"done":[13],"on":[14,20,77],"measuring":[15],"inconsistency,":[16],"this":[17,58,86],"concentrated":[19],"knowledge":[21],"bases":[22],"formalized":[23],"in":[24,100,136],"propositional":[25],"logic.":[26],"Recently,":[27],"inconsistency":[28,62,91,99,115],"measures":[29,63,92,141,160,191],"have":[30],"introduced":[32],"for":[33,64,82,113,117,186,197],"relational":[34,55],"databases.":[35,102,119],"However,":[36],"nowadays,":[37],"real-world":[38],"information":[39],"is":[40,171],"always":[41],"more":[42,51],"frequently":[43],"represented":[44],"by":[45],"graph-based":[46],"structures":[47],"which":[48],"offer":[49],"intuitive":[52],"conceptualization":[53],"than":[54,178],"ones.":[56],"In":[57,85],"paper,":[59],"we":[60,88,147],"explore":[61],"graph":[65,83,101,118],"databases":[66],"with":[67,94,127],"regular":[68],"path":[69],"constraints,":[70],"class":[72],"integrity":[74],"constraints":[75],"based":[76],"well-known":[79],"navigational":[80],"language":[81],"data.":[84],"context,":[87],"define":[89,105],"several":[90],"dealing":[93],"specific":[95],"elements":[96],"contributing":[97],"to":[98],"We":[103,120],"also":[104],"some":[106],"rationality":[107],"postulates":[108],"that":[109,185],"desirable":[111],"properties":[112],"an":[114],"measure":[116,126,170],"analyze":[121],"the":[122,140,144,149,155,159,164,190,198],"compliance":[123],"each":[125,128],"postulate":[129],"and":[130,151],"find":[131],"various":[132],"degrees":[133],"satisfaction;":[135],"fact,":[137],"one":[138],"satisfies":[142],"all":[143,158],"postulates.":[145],"Finally,":[146],"investigate":[148],"combined":[152],"complexity":[153,165],"calculation":[156],"as":[161,163],"well":[162],"deciding":[167],"whether":[168],"lower":[172],"than,":[173],"equal":[174],"to,":[175],"or":[176],"greater":[177],"given":[180],"threshold.":[181],"It":[182],"turns":[183],"out":[184],"majority":[188],"these":[192],"problems":[193],"tractable,":[195],"while":[196],"other":[199],"different":[200],"levels":[201],"intractability":[203],"exhibited.":[205]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}