{"id":"https://openalex.org/W4307176629","doi":"https://doi.org/10.1145/3550355.3552406","title":"Accelerating similarity-based model matching using on-the-fly similarity preserving hashing","display_name":"Accelerating similarity-based model matching using on-the-fly similarity preserving hashing","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4307176629","doi":"https://doi.org/10.1145/3550355.3552406"},"language":"en","primary_location":{"id":"doi:10.1145/3550355.3552406","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550355.3552406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5108459503","display_name":"Xiao He","orcid":"https://orcid.org/0000-0002-3000-0795"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao He","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048612051","display_name":"Letian Tang","orcid":"https://orcid.org/0000-0001-8882-9187"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Letian Tang","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100349737","display_name":"Yutong Li","orcid":"https://orcid.org/0009-0001-3609-5043"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Li","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.2512,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50184029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"244","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9882000088691711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.8198819160461426},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7327078580856323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6865882277488708},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.651315450668335},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5678970813751221},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5138402581214905},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.44998618960380554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42635682225227356},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.35462337732315063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34147849678993225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27675944566726685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24664372205734253},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11453080177307129},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09766781330108643}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8198819160461426},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7327078580856323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865882277488708},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.651315450668335},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5678970813751221},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5138402581214905},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.44998618960380554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42635682225227356},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.35462337732315063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34147849678993225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27675944566726685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24664372205734253},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11453080177307129},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09766781330108643},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3550355.3552406","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550355.3552406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems","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":31,"referenced_works":["https://openalex.org/W50128682","https://openalex.org/W95177030","https://openalex.org/W1813094349","https://openalex.org/W1965397408","https://openalex.org/W1998803396","https://openalex.org/W2011015278","https://openalex.org/W2024668293","https://openalex.org/W2048342307","https://openalex.org/W2067308467","https://openalex.org/W2090836891","https://openalex.org/W2091302526","https://openalex.org/W2099069768","https://openalex.org/W2116677259","https://openalex.org/W2133213925","https://openalex.org/W2144551531","https://openalex.org/W2146078104","https://openalex.org/W2152565070","https://openalex.org/W2513764892","https://openalex.org/W2604123379","https://openalex.org/W2745664564","https://openalex.org/W2785764160","https://openalex.org/W2806985703","https://openalex.org/W2984441688","https://openalex.org/W3089878122","https://openalex.org/W3102219154","https://openalex.org/W3190750847","https://openalex.org/W3206977100","https://openalex.org/W3213059076","https://openalex.org/W6602073961","https://openalex.org/W6912785744","https://openalex.org/W6968720013"],"related_works":["https://openalex.org/W3094967175","https://openalex.org/W2135779989","https://openalex.org/W2045263322","https://openalex.org/W2393322642","https://openalex.org/W2145863369","https://openalex.org/W3096071782","https://openalex.org/W2144265691","https://openalex.org/W2754607325","https://openalex.org/W2901290148","https://openalex.org/W2734880396"],"abstract_inverted_index":{"Similarity-based":[0],"model":[1,7,11,42,54,67,153],"matching":[2,121,157,167],"is":[3,23,146],"the":[4,27,41,103,113,118,125,150,166],"foundation":[5],"of":[6,161],"versioning.":[8],"It":[9],"pairs":[10],"elements":[12,76,154],"based":[13,108],"on":[14,109],"a":[15,32,48,59,66,70,88,93],"distance":[16,28],"metric":[17],"(e.g.,":[18],"edit":[19],"distance).":[20],"Because":[21],"it":[22],"expensive":[24],"to":[25,51,69,96,105,123,148],"calculate":[26],"between":[29,152],"two":[30,75],"elements,":[31],"similarity-based":[33,53,120],"matcher":[34],"usually":[35],"suffers":[36],"from":[37],"performance":[38],"issues":[39],"when":[40],"size":[43],"increases.":[44],"This":[45],"paper":[46],"proposes":[47],"hash-based":[49],"approach":[50,129,158],"accelerate":[52],"matching.":[55],"Firstly,":[56],"we":[57,86,116],"design":[58],"novel":[60],"similarity-preserving":[61],"hash":[62,72,144],"function":[63,145],"that":[64,142],"maps":[65],"element":[68,104],"64-bit":[71],"value.":[73],"If":[74],"are":[77,81],"similar,":[78],"their":[79,110],"hashes":[80],"also":[82],"very":[83],"close.":[84],"Secondly,":[85],"propose":[87],"3-layer":[89],"index":[90],"structure":[91],"and":[92,133,155],"query":[94],"algorithm":[95,122],"quickly":[97],"filter":[98],"out":[99],"impossible":[100],"candidates":[101],"for":[102],"be":[106],"matched":[107],"hashes.":[111],"For":[112],"remaining":[114],"candidates,":[115],"employ":[117],"classical":[119],"determine":[124],"final":[126],"matches.":[127],"Our":[128],"has":[130],"been":[131],"realized":[132],"integrated":[134],"into":[135],"EMF":[136,171],"Compare.":[137,172],"The":[138],"evaluation":[139],"results":[140,168],"show":[141],"our":[143,156],"effective":[147],"preserve":[149],"similarity":[151],"reduces":[159],"16%--72%":[160],"time":[162],"costs":[163],"while":[164],"assuring":[165],"consistent":[169],"with":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
