{"id":"https://openalex.org/W2035947446","doi":"https://doi.org/10.1145/1516360.1516400","title":"A sampling approach for XML query selectivity estimation","display_name":"A sampling approach for XML query selectivity estimation","publication_year":2009,"publication_date":"2009-03-24","ids":{"openalex":"https://openalex.org/W2035947446","doi":"https://doi.org/10.1145/1516360.1516400","mag":"2035947446"},"language":"en","primary_location":{"id":"doi:10.1145/1516360.1516400","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516400","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516400","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516400","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064061862","display_name":"Cheng Luo","orcid":"https://orcid.org/0000-0001-9906-7827"},"institutions":[{"id":"https://openalex.org/I47500952","display_name":"Coppin State University","ror":"https://ror.org/05exmrf24","country_code":"US","type":"education","lineage":["https://openalex.org/I47500952"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Luo","raw_affiliation_strings":["Coppin State University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coppin State University, Baltimore, MD","institution_ids":["https://openalex.org/I47500952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046317279","display_name":"Zhewei Jiang","orcid":"https://orcid.org/0000-0002-7893-9208"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhewei Jiang","raw_affiliation_strings":["Southern Illinois University, Carbondale, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Illinois University, Carbondale, IL","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111414478","display_name":"Wen\u2010Chi Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen-Chi Hou","raw_affiliation_strings":["Southern Illinois University, Carbondale, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Illinois University, Carbondale, IL","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103764451","display_name":"Feng Yu","orcid":"https://orcid.org/0009-0000-0757-0469"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Yu","raw_affiliation_strings":["Southern Illinois University, Carbondale, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Illinois University, Carbondale, IL","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103136845","display_name":"Qiang Zhu","orcid":"https://orcid.org/0000-0001-7094-9236"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Zhu","raw_affiliation_strings":["University of Michigan-Dearborn, Dearborn, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn, Dearborn, MI","institution_ids":["https://openalex.org/I4210130704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.8949172496795654},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.7853944301605225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6097856163978577},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5823929309844971},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4979703426361084},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4900738000869751},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4468657374382019},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.43527013063430786},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.43396320939064026},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4077121913433075},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07685151696205139}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8949172496795654},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.7853944301605225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6097856163978577},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5823929309844971},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4979703426361084},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4900738000869751},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4468657374382019},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.43527013063430786},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.43396320939064026},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4077121913433075},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07685151696205139},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1516360.1516400","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516400","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516400","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.515.5758","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.515.5758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.edbt.org/Proceedings/2009-StPetersburg/edbt/papers/p0335-Luo.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/1516360.1516400","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516400","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516400","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2035947446.pdf","grobid_xml":"https://content.openalex.org/works/W2035947446.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1509814260","https://openalex.org/W1601435884","https://openalex.org/W1943309769","https://openalex.org/W1964857063","https://openalex.org/W1968829657","https://openalex.org/W1975887898","https://openalex.org/W1988144572","https://openalex.org/W1992622324","https://openalex.org/W2048914925","https://openalex.org/W2061884758","https://openalex.org/W2090403603","https://openalex.org/W2099132625","https://openalex.org/W2113380734","https://openalex.org/W2132932090","https://openalex.org/W2140907203","https://openalex.org/W2142876691","https://openalex.org/W2148832586","https://openalex.org/W2152175785","https://openalex.org/W2156210689","https://openalex.org/W2156664231","https://openalex.org/W2160923181","https://openalex.org/W2166443874","https://openalex.org/W2197881366","https://openalex.org/W2322524800","https://openalex.org/W4237172715","https://openalex.org/W4246899237","https://openalex.org/W4300306656","https://openalex.org/W6682307788","https://openalex.org/W6845883598"],"related_works":["https://openalex.org/W2006459955","https://openalex.org/W1819934925","https://openalex.org/W4386051213","https://openalex.org/W2385922226","https://openalex.org/W4361194359","https://openalex.org/W2955368753","https://openalex.org/W2413368787","https://openalex.org/W2393004407","https://openalex.org/W2362665752","https://openalex.org/W2337762748"],"abstract_inverted_index":{"As":[0],"the":[1,10,21,95,129,134],"Extensible":[2],"Markup":[3],"Language":[4],"(XML)":[5],"rapidly":[6],"establishes":[7],"itself":[8],"as":[9,115],"de":[11],"facto":[12],"standard":[13],"for":[14,78,118,166],"presenting,":[15],"storing,":[16],"and":[17,28,37,75,98,106,136,159],"exchanging":[18],"data":[19,27],"on":[20,63],"Internet,":[22],"large":[23],"volume":[24],"of":[25,43,66,148,154],"XML":[26,54],"their":[29],"supporting":[30],"facilities":[31],"start":[32],"to":[33,73,144],"surface.":[34],"A":[35],"fast":[36],"accurate":[38],"selectivity":[39,47,119],"estimation":[40,48],"mechanism":[41],"is":[42,113],"practical":[44],"importance":[45],"because":[46],"plays":[49],"a":[50,104,116,145],"fundamental":[51],"role":[52],"in":[53,103,126],"query":[55,149],"optimization.":[56],"Recently":[57],"proposed":[58],"techniques":[59],"are":[60],"all":[61],"based":[62],"some":[64],"forms":[65],"structure":[67,81,131],"synopses":[68],"that":[69,92],"could":[70],"be":[71],"time-consuming":[72],"build":[74],"not":[76],"effective":[77,107],"summarizing":[79],"complex":[80,167],"relationships.":[82],"In":[83],"this":[84],"research,":[85],"we":[86],"propose":[87],"an":[88],"innovative":[89],"sampling":[90],"method":[91],"can":[93],"capture":[94],"tree":[96,112,141],"structures":[97],"intricate":[99],"relationships":[100],"among":[101],"nodes":[102],"simple":[105],"way.":[108],"The":[109],"derived":[110],"sample":[111,140],"stored":[114],"synopsis":[117,142],"estimation.":[120],"Extensive":[121],"experimental":[122],"results":[123],"show":[124],"that,":[125],"comparison":[127],"with":[128,162],"state-of-the-art":[130],"synopses,":[132,138],"specifically":[133],"TreeSketch":[135],"Xseed":[137],"our":[139],"applies":[143],"broader":[146],"range":[147],"types,":[150],"requires":[151],"several":[152],"orders":[153],"magnitude":[155],"less":[156],"construction":[157],"time,":[158],"generates":[160],"estimates":[161],"considerably":[163],"better":[164],"precision":[165],"datasets.":[168]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
