{"id":"https://openalex.org/W2151240960","doi":"https://doi.org/10.1109/icde.2004.1320069","title":"Minimization and group-by detection for nested XQueries","display_name":"Minimization and group-by detection for nested XQueries","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2151240960","doi":"https://doi.org/10.1109/icde.2004.1320069","mag":"2151240960"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2004.1320069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2004.1320069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 20th 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/A5038619283","display_name":"Alin Deutsch","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Deutsch","raw_affiliation_strings":["University of California, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059167302","display_name":"Yannis Papakonstantinou","orcid":"https://orcid.org/0009-0007-6360-9496"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Papakonstantinou","raw_affiliation_strings":["University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101854939","display_name":"Yu Xu","orcid":"https://orcid.org/0000-0003-1498-8331"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Xu","raw_affiliation_strings":["University of California, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038619283"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.6223,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87248559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"839","last_page":"839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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":0.9983000159263611,"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":0.7946993112564087},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.7419250011444092},{"id":"https://openalex.org/keywords/xquery","display_name":"XQuery","score":0.7166403532028198},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.6774110794067383},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48677942156791687},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4711545705795288},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4284823536872864},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.3709554672241211},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.314602255821228},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23769411444664001},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.14707288146018982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946993112564087},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.7419250011444092},{"id":"https://openalex.org/C2780512708","wikidata":"https://www.wikidata.org/wiki/Q850661","display_name":"XQuery","level":4,"score":0.7166403532028198},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.6774110794067383},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48677942156791687},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4711545705795288},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4284823536872864},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.3709554672241211},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.314602255821228},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23769411444664001},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.14707288146018982},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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":1,"locations":[{"id":"doi:10.1109/icde.2004.1320069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2004.1320069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 20th International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W174869497","https://openalex.org/W1504392687","https://openalex.org/W1512698516","https://openalex.org/W1540408937","https://openalex.org/W1544585257","https://openalex.org/W1547760610","https://openalex.org/W1556528519","https://openalex.org/W1558832481","https://openalex.org/W1591926286","https://openalex.org/W1819973606","https://openalex.org/W1979514837","https://openalex.org/W1988504473","https://openalex.org/W1991271936","https://openalex.org/W2008116177","https://openalex.org/W2029970296","https://openalex.org/W2102387332","https://openalex.org/W2124581454","https://openalex.org/W2151240960","https://openalex.org/W2162621793","https://openalex.org/W2165674271"],"related_works":["https://openalex.org/W2378924333","https://openalex.org/W2134603653","https://openalex.org/W2362446711","https://openalex.org/W1540665740","https://openalex.org/W2588120553","https://openalex.org/W1495801388","https://openalex.org/W2551308855","https://openalex.org/W2385742752","https://openalex.org/W1853274104","https://openalex.org/W2587884199"],"abstract_inverted_index":{"We":[0,111],"extend":[1,91,112],"tree":[2,9],"pattern":[3,10],"queries":[4],"into":[5,44,114],"group-by":[6,109],"normal":[7],"form":[8],"(GNFTP)":[11],"queries,":[12],"which":[13],"are":[14],"nested,":[15],"perform":[16],"arbitrary":[17],"joins,":[18],"and":[19,23,35,66,73],"freely":[20],"mix":[21],"bag":[22],"set":[24],"semantics.":[25],"Here,":[26],"we":[27,71],"describe":[28],"a":[29,37,45,58,75],"subset":[30],"of":[31,84,98,105,132],"XQuery,":[32],"called":[33],"OptXQuery":[34,43,121],"provide":[36],"normalization":[38],"algorithm":[39,78],"that":[40,89],"rewrites":[41],"any":[42],"GNFTP":[46,113],"query.":[47],"Key":[48],"logical":[49,128],"query":[50,69,76],"optimizations":[51],"can":[52],"be":[53],"solved":[54],"for":[55,62,79],"GNFTP/OptXQuery.":[56],"As":[57],"proof-of-concept":[59],"but":[60],"also":[61],"its":[63],"own":[64],"importance":[65],"value":[67],"in":[68],"optimization,":[70],"developed":[72],"evaluated":[74],"minimization":[77],"GNFTP.":[80],"The":[81,123],"rich":[82],"features":[83],"GN-FTP/OptXQuery":[85],"create":[86],"key":[87],"challenges":[88],"fundamentally":[90],"the":[92,96,120,127],"prior":[93],"work":[94],"on":[95],"problems":[97],"minimizing":[99],"conjunctive":[100],"queries.":[101],"An":[102],"important":[103],"application":[104],"this":[106],"technique":[107],"is":[108],"detection.":[110],"extGNFTP":[115,124],"to":[116],"capture":[117],"XQueries":[118],"outside":[119],"set.":[122],"notation":[125],"provides":[126],"plan":[129],"optimization":[130],"framework":[131],"our":[133],"XQuery":[134],"processor.":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
