{"id":"https://openalex.org/W2144567199","doi":"https://doi.org/10.1109/icde.2008.4497491","title":"The Space Complexity of Processing XML Twig Queries Over Indexed Documents","display_name":"The Space Complexity of Processing XML Twig Queries Over Indexed Documents","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2144567199","doi":"https://doi.org/10.1109/icde.2008.4497491","mag":"2144567199"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2008.4497491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","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/A5056233788","display_name":"Mirit Shalem","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Mirit Shalem","raw_affiliation_strings":["Department of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel","Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa#TAB#","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054834255","display_name":"Ziv Bar-Yossef","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ziv Bar-Yossef","raw_affiliation_strings":["Department of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel","Department of Electrical Engineering, Technion, Haifa, Israel; Google Haifa Engineering Center, Haifa, Israel. zivby@ee.technion.ac.il#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Department of Electrical Engineering, Technion, Haifa, Israel; Google Haifa Engineering Center, Haifa, Israel. zivby@ee.technion.ac.il#TAB#","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056233788"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":5.7181,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96210739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":null,"first_page":"824","last_page":"832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":1.0,"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":1.0,"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":0.9995999932289124,"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":0.9944999814033508,"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":0.7915107011795044},{"id":"https://openalex.org/keywords/xpath","display_name":"XPath","score":0.7905503511428833},{"id":"https://openalex.org/keywords/twig","display_name":"Twig","score":0.6671781539916992},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.5907305479049683},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5708061456680298},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5686820149421692},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5627045631408691},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5097789168357849},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.4935725927352905},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.49015483260154724},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.4829920530319214},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.45322853326797485},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42345988750457764},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41222167015075684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3522004783153534},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3043971657752991},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.2960847020149231},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.24148747324943542},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.1950954794883728},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1894138753414154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0921316146850586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915107011795044},{"id":"https://openalex.org/C2780213375","wikidata":"https://www.wikidata.org/wiki/Q16340","display_name":"XPath","level":4,"score":0.7905503511428833},{"id":"https://openalex.org/C2777601135","wikidata":"https://www.wikidata.org/wiki/Q11162356","display_name":"Twig","level":2,"score":0.6671781539916992},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.5907305479049683},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5708061456680298},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5686820149421692},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5627045631408691},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5097789168357849},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.4935725927352905},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.49015483260154724},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.4829920530319214},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.45322853326797485},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42345988750457764},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41222167015075684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3522004783153534},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3043971657752991},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.2960847020149231},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.24148747324943542},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.1950954794883728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1894138753414154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0921316146850586},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2008.4497491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.227.4267","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.4267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.technion.ac.il/people/zivby/papers/twig/twig.full.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1481200545","https://openalex.org/W1504467106","https://openalex.org/W1564517446","https://openalex.org/W1644635642","https://openalex.org/W1932196479","https://openalex.org/W1965817034","https://openalex.org/W1992622324","https://openalex.org/W2001474264","https://openalex.org/W2015180052","https://openalex.org/W2032411923","https://openalex.org/W2052531873","https://openalex.org/W2053904363","https://openalex.org/W2061884758","https://openalex.org/W2064580935","https://openalex.org/W2091965317","https://openalex.org/W2096693597","https://openalex.org/W2099678653","https://openalex.org/W2112400233","https://openalex.org/W2115309483","https://openalex.org/W2125624534","https://openalex.org/W2140907203","https://openalex.org/W2145565330","https://openalex.org/W2169653785","https://openalex.org/W2340787257","https://openalex.org/W3021974799","https://openalex.org/W4255338640","https://openalex.org/W4285719527","https://openalex.org/W6633663730","https://openalex.org/W6663933815"],"related_works":["https://openalex.org/W2397337643","https://openalex.org/W2086561757","https://openalex.org/W2394321346","https://openalex.org/W3164787465","https://openalex.org/W2316355184","https://openalex.org/W2062645995","https://openalex.org/W2037791508","https://openalex.org/W2135867846","https://openalex.org/W1003283331","https://openalex.org/W2348501364"],"abstract_inverted_index":{"Current":[0],"twig":[1,141,159],"join":[2,142,160],"algorithms":[3],"incur":[4,151],"high":[5],"memory":[6],"costs":[7],"on":[8,48,112],"queries":[9,37,98,114,168],"that":[10,91,99,111,138,162],"involve":[11],"child-axis":[12,101],"nodes.":[13],"In":[14,25],"this":[15,23,164],"paper":[16],"we":[17,42],"provide":[18],"an":[19],"analytical":[20],"explanation":[21],"for":[22,124,131],"phenomenon.":[24],"a":[26,56,59,94,117,157],"first":[27],"large-scale":[28],"study":[29,108],"of":[30,34,64,78,93,97],"the":[31,44,53,62,68,76,121,128,147,180,186],"space":[32,45,122,129,153,181],"complexity":[33],"evaluating":[35],"XPath":[36],"over":[38],"indexed":[39],"XML":[40],"documents":[41],"show":[43],"to":[46,189],"depend":[47],"three":[49],"factors:":[50],"(1)":[51],"whether":[52],"query":[54,69,79],"is":[55,116,171],"path":[57],"or":[58,84,134],"tree;":[60],"(2)":[61],"types":[63],"axes":[65],"occurring":[66],"in":[67,146,185],"and":[70,74,127],"their":[71],"occurrence":[72],"pattern;":[73],"(3)":[75],"mode":[77],"evaluation":[80,92,133],"(filtering,":[81],"full-":[82],"fledged,":[83],"\"pattern":[85],"matching\").":[86],"Our":[87,107],"lower":[88],"bounds":[89],"imply":[90],"large":[95,105,118],"class":[96],"have":[100],"nodes":[102],"indeed":[103],"requires":[104],"space.":[106],"also":[109],"reveals":[110],"some":[113],"there":[115],"gap":[119],"between":[120],"needed":[123,130],"pattern":[125,148],"matching":[126,149],"full-fledged":[132],"filtering.":[135],"This":[136],"implies":[137],"many":[139],"existing":[140,176],"algorithms,":[143,177],"which":[144],"work":[145],"mode,":[150],"significant":[152],"overhead.":[154,165],"We":[155],"present":[156],"new":[158],"algorithm":[161,170],"avoids":[163],"On":[166],"certain":[167],"our":[169],"exceedingly":[172],"more":[173],"space-efficient":[174],"than":[175],"sometimes":[178],"bringing":[179],"down":[182],"from":[183],"linear":[184],"document":[187],"size":[188],"constant.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
