{"id":"https://openalex.org/W4411797192","doi":"https://doi.org/10.1145/3735546.3735855","title":"Extending Pattern Matching Queries in Property Graphs with Interpreted Predicates","display_name":"Extending Pattern Matching Queries in Property Graphs with Interpreted Predicates","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4411797192","doi":"https://doi.org/10.1145/3735546.3735855"},"language":"en","primary_location":{"id":"doi:10.1145/3735546.3735855","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735546.3735855","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735546.3735855","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3735546.3735855","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069883356","display_name":"Leonid Libkin","orcid":"https://orcid.org/0000-0002-6698-2735"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Leonid Libkin","raw_affiliation_strings":["RelationalAI & Univ of Edinburgh, Paris & Edinburgh, France & UK"],"affiliations":[{"raw_affiliation_string":"RelationalAI & Univ of Edinburgh, Paris & Edinburgh, France & UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060233663","display_name":"Cristina Sirangelo","orcid":"https://orcid.org/0000-0003-2559-512X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cristina Sirangelo","raw_affiliation_strings":["Universit\u00e9 Paris Cit\u00e9, CNRS, IRIF, Paris, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris Cit\u00e9, CNRS, IRIF, Paris, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118706452","display_name":"Deniz Yilmaz","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Deniz Yilmaz","raw_affiliation_strings":["Universit\u00e9 Paris Cit\u00e9, CNRS, IRIF, Paris, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris Cit\u00e9, CNRS, IRIF, Paris, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069883356"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07525634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9986000061035156,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9986000061035156,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.7173217535018921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6720942258834839},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6482608914375305},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.564184308052063},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37061774730682373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2716866135597229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2705511450767517},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.0564236044883728},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05169227719306946}],"concepts":[{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.7173217535018921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720942258834839},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6482608914375305},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.564184308052063},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37061774730682373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2716866135597229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2705511450767517},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0564236044883728},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05169227719306946},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3735546.3735855","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735546.3735855","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735546.3735855","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3735546.3735855","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735546.3735855","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735546.3735855","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6928976483","display_name":null,"funder_award_id":"ANR-21-CE48-0015","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8393105782","display_name":null,"funder_award_id":"ANR-21-CE48-001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411797192.pdf","grobid_xml":"https://content.openalex.org/works/W4411797192.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1480909796","https://openalex.org/W1596887828","https://openalex.org/W1980622548","https://openalex.org/W1986060337","https://openalex.org/W1997520998","https://openalex.org/W1999396796","https://openalex.org/W2007804392","https://openalex.org/W2012714171","https://openalex.org/W2031856459","https://openalex.org/W2059052871","https://openalex.org/W2087022699","https://openalex.org/W2094548115","https://openalex.org/W2096729377","https://openalex.org/W2117657788","https://openalex.org/W2135282325","https://openalex.org/W2162052349","https://openalex.org/W2543953340","https://openalex.org/W2799059383","https://openalex.org/W2948174565","https://openalex.org/W3028872147","https://openalex.org/W4214702250","https://openalex.org/W4246140018","https://openalex.org/W4281658241"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2943461603","https://openalex.org/W3210429500","https://openalex.org/W3217252310","https://openalex.org/W4286894112"],"abstract_inverted_index":{"Recently":[0],"developed":[1],"query":[2,66],"languages":[3],"for":[4],"property":[5,44],"graphs":[6],"-":[7,11],"GQL":[8],"and":[9,16,23,58,78],"SQL/PGQ":[10],"have":[12,20,31,49],"now":[13],"been":[14,21],"standardized,":[15],"their":[17],"theoretical":[18],"models":[19,26],"introduced":[22],"analyzed.":[24],"These":[25],"however,":[27],"do":[28],"not":[29,90],"yet":[30],"enough":[32],"flexibility":[33],"when":[34],"it":[35],"comes":[36],"to":[37,52,72],"process":[38],"data":[39,56],"stored":[40],"as":[41],"properties":[42],"within":[43],"graphs;":[45],"in":[46,93],"particular":[47],"they":[48],"limited":[50],"ability":[51],"deal":[53],"with":[54],"various":[55],"types":[57],"operations":[59],"on":[60,76],"them.":[61],"In":[62],"a":[63],"fully":[64],"expressive":[65],"language,":[67],"we":[68],"should":[69],"be":[70],"able":[71],"perform":[73],"meaningful":[74],"computations":[75],"numerical":[77],"string":[79],"data,":[80],"among":[81],"others.":[82],"This":[83],"includes":[84],"queries":[85],"that":[86],"quantify":[87],"over":[88],"elements":[89],"explicitly":[91],"present":[92],"the":[94],"database.":[95]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}