{"id":"https://openalex.org/W7161124861","doi":"https://doi.org/10.1109/dcc66757.2026.00047","title":"Attractor Matching: A New Paradigm for Structural String Comparison","display_name":"Attractor Matching: A New Paradigm for Structural String Comparison","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7161124861","doi":"https://doi.org/10.1109/dcc66757.2026.00047"},"language":null,"primary_location":{"id":"doi:10.1109/dcc66757.2026.00047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","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/A5105877451","display_name":"Simone Faro","orcid":"https://orcid.org/0000-0001-5937-5796"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Simone Faro","raw_affiliation_strings":["University of Catania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136144513","display_name":"Dominik K\u00f6ppl","orcid":null},"institutions":[{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dominik K\u00f6ppl","raw_affiliation_strings":["University of Yamanashi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Yamanashi","institution_ids":["https://openalex.org/I66906201"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136108986","display_name":"Francesco Pio Marino","orcid":null},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Pio Marino","raw_affiliation_strings":["University of Catania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5105877451"],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95113211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.19349999725818634,"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/T11309","display_name":"Music and Audio Processing","score":0.19349999725818634,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.14990000426769257,"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/T11269","display_name":"Algorithms and Data Compression","score":0.06769999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.41100001335144043},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.3896999955177307},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.3312999904155731},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.3208000063896179},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3174000084400177},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.30559998750686646}],"concepts":[{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.415800005197525},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.41100001335144043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.399399995803833},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37450000643730164},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27230000495910645},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C155673373","wikidata":"https://www.wikidata.org/wiki/Q1648886","display_name":"Structural stability","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.25130000710487366},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc66757.2026.00047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2178465738","display_name":null,"funder_award_id":"JP25K21150,JP23H04378","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320322690","display_name":"Universit\u00e0 di Catania","ror":"https://ror.org/03a64bh57"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1,174],"Attractor":[2,178],"Matching,":[3],"a":[4,19,49,142,175],"new":[5,208],"framework":[6],"for":[7,40,210],"structural":[8,88],"string":[9,16,73],"comparison":[10],"built":[11],"upon":[12],"the":[13,37,87,102,111,114,124,128,133,137,152,183],"theory":[14],"of":[15,24,31,48,63,72,105,117,156],"attractors.":[17],"Given":[18],"pattern":[20,184,212],"<tex":[21,26,34,43,51,56,64,192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[22,27,35,44,52,57,65,193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$x$</tex>":[23],"length":[25],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$m$</tex>":[28],"and":[29,93,205],"one":[30],"its":[32],"attractors":[33],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\Gamma_{x}$</tex>,":[36],"problem":[38],"asks":[39],"all":[41],"substrings":[42],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$y[i.":[45,66],".":[46,67],"i+m-1]$</tex>":[47],"text":[50],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$y$</tex>":[53],"such":[54],"that":[55,90,146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\Gamma_{x}$</tex>":[58],"is":[59,97],"also":[60],"an":[61],"attractor":[62,83,121,163,185],"i+m-1]$</tex>.":[68],"Unlike":[69],"classical":[70],"notions":[71],"matching,":[74],"which":[75,160],"rely":[76],"on":[77,86,136,165],"character":[78],"equality":[79],"or":[80],"distance":[81],"measures,":[82],"matching":[84,164],"focuses":[85],"properties":[89],"govern":[91],"repetitiveness":[92],"compressibility.":[94],"Our":[95],"contribution":[96],"fourfold.":[98],"First,":[99],"we":[100,131,150,173],"adapt":[101],"IsAttractor":[103],"algorithm":[104],"B\u00e9al":[106],"et":[107,158],"al.":[108],"by":[109,189],"combining":[110],"DAWG":[112,139],"with":[113,169,180],"slidingwindow":[115],"technique":[116],"Blumer,":[118],"enabling":[119,197],"online":[120],"verification":[122,134],"as":[123],"window":[125],"advances":[126],"over":[127],"text.":[129],"Second,":[130],"reformulate":[132],"procedure":[135],"Compressed":[138],"(CDAWG),":[140],"obtaining":[141],"more":[143],"compact":[144],"representation":[145],"preserves":[147],"correctness.":[148],"Third,":[149],"employ":[151],"sliding-window":[153,166],"CDAWG":[154],"method":[155],"Inenaga":[157],"al.,":[159],"allows":[161],"efficient":[162],"maintained":[167],"CDAWGs":[168],"incremental":[170],"updates.":[171],"Finally,":[172],"relaxed":[176],"variant,":[177],"Matching":[179],"Mismatches,":[181],"where":[182],"may":[186],"be":[187],"extended":[188],"at":[190],"most":[191],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\rho$</tex>":[194],"additional":[195],"positions,":[196],"structurally":[198],"tolerant":[199],"matching.":[200,213],"This":[201],"paradigm":[202],"bridges":[203],"compression":[204],"similarity,":[206],"opening":[207],"directions":[209],"structure-aware":[211]},"counts_by_year":[],"updated_date":"2026-05-16T06:04:12.930555","created_date":"2026-05-15T00:00:00"}