{"id":"https://openalex.org/W2026377243","doi":"https://doi.org/10.1109/icde.2010.5447858","title":"Fast in-memory XPath search using compressed indexes","display_name":"Fast in-memory XPath search using compressed indexes","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2026377243","doi":"https://doi.org/10.1109/icde.2010.5447858","mag":"2026377243"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2010.5447858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10138/23556","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050699073","display_name":"Diego Arroyuelo","orcid":"https://orcid.org/0000-0002-2509-8097"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Diego Arroyuelo","raw_affiliation_strings":["Yahoo! Research Latin America, Chile"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research Latin America, Chile","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091203911","display_name":"Francisco Claude","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Francisco Claude","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010785818","display_name":"Sebastian Maneth","orcid":"https://orcid.org/0000-0001-8667-5436"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sebastian Maneth","raw_affiliation_strings":["CSE, University of New South Wales, Australia","NICTA, Australia"],"affiliations":[{"raw_affiliation_string":"CSE, University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"NICTA, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110047296","display_name":"Veli Maakinen","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]},{"id":"https://openalex.org/I4210102852","display_name":"Helsinki Art Museum","ror":"https://ror.org/01bjs1d88","country_code":"FI","type":"archive","lineage":["https://openalex.org/I4210102852"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Veli Maakinen","raw_affiliation_strings":["Helsingin Yliopisto, Helsinki, FI"],"affiliations":[{"raw_affiliation_string":"Helsingin Yliopisto, Helsinki, FI","institution_ids":["https://openalex.org/I4210102852","https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080743153","display_name":"Gonzalo Navarro","orcid":"https://orcid.org/0000-0002-2286-741X"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Gonzalo Navarro","raw_affiliation_strings":["Dept. of Computer Science, University of Chile, Chile"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Chile, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049677372","display_name":"Kim Nguy\u1ec5n","orcid":"https://orcid.org/0000-0002-1729-870X"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kim Nguyen","raw_affiliation_strings":["NICTA, Australia"],"affiliations":[{"raw_affiliation_string":"NICTA, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066730758","display_name":"Jouni Sir\u00e9n","orcid":"https://orcid.org/0000-0001-5828-4139"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jouni Siren","raw_affiliation_strings":["Dept. of Computer Science, University of Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070318939","display_name":"Niko V\u00e4lim\u00e4ki","orcid":"https://orcid.org/0000-0001-9200-9560"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Niko Valimaki","raw_affiliation_strings":["Dept. of Computer Science, University of Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5050699073"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6678,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.97171005,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"417","last_page":"428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/xpath","display_name":"XPath","score":0.8990353941917419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.884087085723877},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6066049337387085},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.5715979933738708},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5686936974525452},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5456238389015198},{"id":"https://openalex.org/keywords/search-tree","display_name":"Search tree","score":0.4985535144805908},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.44197946786880493},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.42621150612831116},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.4110785722732544},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35474255681037903},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3526642918586731},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.35034412145614624},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.3326370120048523},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.2586584687232971},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.24882712960243225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2174060046672821},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16900259256362915}],"concepts":[{"id":"https://openalex.org/C2780213375","wikidata":"https://www.wikidata.org/wiki/Q16340","display_name":"XPath","level":4,"score":0.8990353941917419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.884087085723877},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6066049337387085},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.5715979933738708},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5686936974525452},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5456238389015198},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.4985535144805908},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.44197946786880493},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.42621150612831116},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.4110785722732544},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35474255681037903},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3526642918586731},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.35034412145614624},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3326370120048523},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.2586584687232971},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.24882712960243225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2174060046672821},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16900259256362915},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2010.5447858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","raw_type":"proceedings-article"},{"id":"pmh:oai:helda.helsinki.fi:10138/23556","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/23556","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:helda.helsinki.fi:10138/23556","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/23556","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W82970728","https://openalex.org/W120958072","https://openalex.org/W613810508","https://openalex.org/W1491178396","https://openalex.org/W1504934817","https://openalex.org/W1507759507","https://openalex.org/W1508914815","https://openalex.org/W1510021131","https://openalex.org/W1523949762","https://openalex.org/W1578080250","https://openalex.org/W1593799327","https://openalex.org/W1603565140","https://openalex.org/W1607660775","https://openalex.org/W1609131911","https://openalex.org/W1782136421","https://openalex.org/W1826264422","https://openalex.org/W1828691170","https://openalex.org/W1889710124","https://openalex.org/W1949346071","https://openalex.org/W1965853364","https://openalex.org/W1969783316","https://openalex.org/W1985174631","https://openalex.org/W1999058046","https://openalex.org/W2008839639","https://openalex.org/W2022626404","https://openalex.org/W2027244654","https://openalex.org/W2044014345","https://openalex.org/W2047342127","https://openalex.org/W2070386554","https://openalex.org/W2072021854","https://openalex.org/W2088386938","https://openalex.org/W2091652712","https://openalex.org/W2092398161","https://openalex.org/W2093788424","https://openalex.org/W2103332648","https://openalex.org/W2103441770","https://openalex.org/W2107082304","https://openalex.org/W2111274946","https://openalex.org/W2116365500","https://openalex.org/W2118486794","https://openalex.org/W2118505448","https://openalex.org/W2121757479","https://openalex.org/W2124985265","https://openalex.org/W2129713651","https://openalex.org/W2130080588","https://openalex.org/W2134696992","https://openalex.org/W2134826526","https://openalex.org/W2139258089","https://openalex.org/W2147742826","https://openalex.org/W2147935317","https://openalex.org/W2148113067","https://openalex.org/W2149243190","https://openalex.org/W2159647614","https://openalex.org/W2161225124","https://openalex.org/W2161488606","https://openalex.org/W2164770381","https://openalex.org/W2167887041","https://openalex.org/W2170016254","https://openalex.org/W2230830246","https://openalex.org/W2611888112","https://openalex.org/W2950165268","https://openalex.org/W2982818789","https://openalex.org/W4254779780","https://openalex.org/W4300790007","https://openalex.org/W6603442076","https://openalex.org/W6631377939","https://openalex.org/W6646629931","https://openalex.org/W6679642144","https://openalex.org/W6769696073"],"related_works":["https://openalex.org/W1988679864","https://openalex.org/W2372453241","https://openalex.org/W2371387875","https://openalex.org/W2531660186","https://openalex.org/W1987871343","https://openalex.org/W2064670891","https://openalex.org/W1508699539","https://openalex.org/W2349743712","https://openalex.org/W2227630426","https://openalex.org/W1591568670"],"abstract_inverted_index":{"A":[0],"large":[1],"fraction":[2],"of":[3,9,36,50,81,98,106,114,121,131,151,225,231],"an":[4,67,99,135],"XML":[5,100],"document":[6,101,123],"typically":[7],"consists":[8],"text":[10,17,39,49,83,119,153,187,215],"data.":[11],"The":[12,145,172],"XPath":[13,136],"query":[14,137],"language":[15],"allows":[16],"search":[18],"via":[19],"the":[20,37,48,51,57,78,82,88,95,118,122,152,169,191,194,203,219,229,232],"equal,":[21],"contains,":[22],"and":[23,84,108,116,208,235],"starts-with":[24],"predicates.":[25],"Such":[26],"predicates":[27],"can":[28],"be":[29],"efficiently":[30],"implemented":[31],"using":[32,102,124],"a":[33,63,72,103,112,125],"compressed":[34,127],"self-index":[35],"document's":[38],"nodes.":[40],"Most":[41],"queries,":[42,193],"however,":[43],"contain":[44],"some":[45,54],"parts":[46,55],"querying":[47,56],"document,":[52],"plus":[53,111],"tree":[58,85,96,143,170,184],"structure.":[59,171],"It":[60,93],"is":[61,91,140],"therefore":[62],"challenge":[64],"to":[65,157,161,168,239],"choose":[66],"appropriate":[68],"evaluation":[69],"order":[70,156],"for":[71,247],"given":[73],"query,":[74],"which":[75],"optimally":[76],"leverages":[77],"execution":[79],"speeds":[80],"indexes.":[86],"Here":[87],"SXSI":[89,195,217,242],"system":[90,174,196],"introduced.":[92],"stores":[94,117],"structure":[97],"bit":[104],"array":[105],"opening":[107],"closing":[109],"brackets":[110],"sequence":[113],"labels,":[115],"nodes":[120],"global":[126],"self-index.":[128],"On":[129],"top":[130],"these":[132],"indexes":[133],"sits":[134],"engine":[138,146],"that":[139,213],"based":[141],"on":[142,182,198,211,228],"automata.":[144],"uses":[147],"fast":[148],"counting":[149],"queries":[150,185,212],"index":[154],"in":[155],"dynamically":[158],"determine":[159],"whether":[160],"evaluate":[162],"top-down":[163],"or":[164,200],"bottom-up":[165],"with":[166,237],"respect":[167,238],"resulting":[173],"has":[175],"several":[176],"advantages":[177],"over":[178],"existing":[179,220],"systems:":[180],"(1)":[181],"pure":[183],"(without":[186],"search)":[188],"such":[189],"as":[190],"XPathMark":[192],"performs":[197],"par":[199],"better":[201],"than":[202],"fastest":[204],"known":[205],"systems":[206,221,246],"MonetDB":[207],"Qizx,":[209],"(2)":[210],"use":[214],"search,":[216],"outperforms":[218,243],"by":[222],"1-3":[223],"orders":[224],"magnitude":[226],"(depending":[227],"size":[230],"result":[233],"set),":[234],"(3)":[236],"memory":[240],"consumption,":[241],"all":[244],"other":[245],"counting-only":[248],"queries.":[249]},"counts_by_year":[{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}