{"id":"https://openalex.org/W2104644740","doi":"https://doi.org/10.1145/1132863.1132871","title":"Sequencing XML data and query twigs for fast pattern matching","display_name":"Sequencing XML data and query twigs for fast pattern matching","publication_year":2006,"publication_date":"2006-03-01","ids":{"openalex":"https://openalex.org/W2104644740","doi":"https://doi.org/10.1145/1132863.1132871","mag":"2104644740"},"language":"en","primary_location":{"id":"doi:10.1145/1132863.1132871","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1132863.1132871","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Database Systems","raw_type":"journal-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/A5087950601","display_name":"Praveen Rao","orcid":"https://orcid.org/0000-0002-1859-0438"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Praveen Rao","raw_affiliation_strings":["University of Arizona, AZ"],"affiliations":[{"raw_affiliation_string":"University of Arizona, AZ","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006334513","display_name":"Bongki Moon","orcid":"https://orcid.org/0000-0001-9382-8306"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bongki Moon","raw_affiliation_strings":["University of Arizona, AZ"],"affiliations":[{"raw_affiliation_string":"University of Arizona, AZ","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087950601"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":4.8285,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95413935,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"1","first_page":"299","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"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":0.9983000159263611,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9954000115394592,"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/twig","display_name":"Twig","score":0.9015180468559265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8829704523086548},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.8043075799942017},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.7184028625488281},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.656006932258606},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6223357915878296},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5473074316978455},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.5449019074440002},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5052066445350647},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48250889778137207},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4676729142665863},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.43522536754608154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4162176847457886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23446106910705566},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12650316953659058},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09149837493896484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06867793202400208}],"concepts":[{"id":"https://openalex.org/C2777601135","wikidata":"https://www.wikidata.org/wiki/Q11162356","display_name":"Twig","level":2,"score":0.9015180468559265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8829704523086548},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.8043075799942017},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.7184028625488281},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.656006932258606},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6223357915878296},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5473074316978455},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.5449019074440002},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5052066445350647},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48250889778137207},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4676729142665863},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.43522536754608154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4162176847457886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23446106910705566},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12650316953659058},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09149837493896484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06867793202400208},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1132863.1132871","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1132863.1132871","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Database Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W84421257","https://openalex.org/W125925666","https://openalex.org/W1481200545","https://openalex.org/W1508914815","https://openalex.org/W1515993376","https://openalex.org/W1664954303","https://openalex.org/W1994694191","https://openalex.org/W2035902703","https://openalex.org/W2061884758","https://openalex.org/W2064750939","https://openalex.org/W2101066236","https://openalex.org/W2110459974","https://openalex.org/W2113414933","https://openalex.org/W2113836856","https://openalex.org/W2115221160","https://openalex.org/W2122530852","https://openalex.org/W2123645388","https://openalex.org/W2124391840","https://openalex.org/W2134356404","https://openalex.org/W2139242647","https://openalex.org/W2139475358","https://openalex.org/W2143100570","https://openalex.org/W2161225124","https://openalex.org/W2161728285","https://openalex.org/W2398936787","https://openalex.org/W2406518446","https://openalex.org/W4243649771"],"related_works":["https://openalex.org/W2256140659","https://openalex.org/W2101478157","https://openalex.org/W2350931051","https://openalex.org/W2068279027","https://openalex.org/W2364147106","https://openalex.org/W2037791508","https://openalex.org/W2348501364","https://openalex.org/W2104644740","https://openalex.org/W78178169","https://openalex.org/W2136629949"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,27,36,46,70,86,98],"new":[3],"way":[4],"of":[5,29,63,72,85,97,138],"indexing":[6],"XML":[7,15,18],"documents":[8],"and":[9,41,68,108],"processing":[10,96,109],"twig":[11,47,87,99,104],"patterns":[12],"in":[13,20,65,89,116],"an":[14],"database.":[16,91],"Every":[17],"document":[19],"the":[21,61,66,83,90,103,117,135],"database":[22,67],"can":[23,80],"be":[24],"transformed":[25,51],"into":[26,52,105],"sequence":[28],"labels":[30],"by":[31],"pr\u00fcfer's":[32],"method":[33],"that":[34,75,119],"constructs":[35],"one-to-one":[37],"correspondence":[38],"between":[39],"trees":[40],"sequences.":[42],"During":[43],"query":[44],"processing,":[45],"pattern":[48,88,100],"is":[49],"also":[50],"its":[53],"Pr\u00fcfer":[54],"sequence.":[55],"By":[56],"performing":[57,69],"subsequence":[58],"matching":[59],"on":[60],"set":[62],"sequences":[64],"series":[71],"refinement":[73],"phases":[74],"we":[76,79,114],"have":[77],"developed,":[78],"find":[81],"all":[82,120],"occurrences":[84],"Our":[92],"approach":[93],"allows":[94],"holistic":[95],"without":[101,125],"breaking":[102],"root-to-leaf":[106],"paths":[107,111],"these":[110],"individually.":[112],"Furthermore,":[113],"show":[115],"article":[118],"correct":[121],"answers":[122],"are":[123],"found":[124],"any":[126],"false":[127,130],"dismissals":[128],"or":[129],"alarms.":[131],"Experimental":[132],"results":[133],"demonstrate":[134],"performance":[136],"benefits":[137],"our":[139],"proposed":[140],"techniques.":[141]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}