{"id":"https://openalex.org/W2123853152","doi":"https://doi.org/10.1145/1007568.1007583","title":"Understanding Web query interfaces","display_name":"Understanding Web query interfaces","publication_year":2004,"publication_date":"2004-06-13","ids":{"openalex":"https://openalex.org/W2123853152","doi":"https://doi.org/10.1145/1007568.1007583","mag":"2123853152"},"language":"en","primary_location":{"id":"doi:10.1145/1007568.1007583","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1007568.1007583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 ACM SIGMOD international conference on Management of data","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/A5101539223","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0002-3269-0953"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Zhang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101494989","display_name":"Bin He","orcid":"https://orcid.org/0000-0001-7385-5542"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin He","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101880377","display_name":"Kevin Chen\u2013Chuan Chang","orcid":"https://orcid.org/0000-0003-0997-6803"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Chen-Chuan Chang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":41.9988,"has_fulltext":false,"cited_by_count":201,"citation_normalized_percentile":{"value":0.99734542,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9922999739646912,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9909999966621399,"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":0.900641679763794},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.7211682796478271},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7068042755126953},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.6702766418457031},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6373789310455322},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.6095740795135498},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.5709591507911682},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5147238373756409},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.508885383605957},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.4709164798259735},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4589802324771881},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.43471649289131165},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42024174332618713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3910638689994812},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.36058932542800903},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3549772799015045},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.09563174843788147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.900641679763794},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.7211682796478271},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7068042755126953},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.6702766418457031},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6373789310455322},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.6095740795135498},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.5709591507911682},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5147238373756409},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.508885383605957},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.4709164798259735},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4589802324771881},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.43471649289131165},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42024174332618713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3910638689994812},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.36058932542800903},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3549772799015045},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.09563174843788147},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1007568.1007583","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1007568.1007583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W109393027","https://openalex.org/W127846897","https://openalex.org/W1491178396","https://openalex.org/W1545169732","https://openalex.org/W1553019137","https://openalex.org/W1586806958","https://openalex.org/W1969831559","https://openalex.org/W2018136990","https://openalex.org/W2025835932","https://openalex.org/W2026080185","https://openalex.org/W2069753856","https://openalex.org/W2076988985","https://openalex.org/W2104086170","https://openalex.org/W2108489852","https://openalex.org/W2111606934","https://openalex.org/W2125969310","https://openalex.org/W2130760429","https://openalex.org/W2146707941","https://openalex.org/W2150323633","https://openalex.org/W2150721933","https://openalex.org/W2170188121","https://openalex.org/W2174953658","https://openalex.org/W2296459872","https://openalex.org/W2914756598","https://openalex.org/W4285719527","https://openalex.org/W6629325410","https://openalex.org/W6633154970","https://openalex.org/W6638444108","https://openalex.org/W6685116542"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2392799717","https://openalex.org/W2146885082","https://openalex.org/W3125756434","https://openalex.org/W2026738364","https://openalex.org/W4385573081","https://openalex.org/W2124814993","https://openalex.org/W2017989738","https://openalex.org/W2367594159"],"abstract_inverted_index":{"Recently,":[0],"the":[1,25,62,86,94,158,176,179,208],"Web":[2,23],"has":[3],"been":[4],"rapidly":[5],"\"deepened\"":[6],"by":[7,76,137,146],"many":[8],"searchable":[9],"databases":[10],"online,":[11],"where":[12],"data":[13],"are":[14,55],"hidden":[15,90],"behind":[16],"query":[17,34,39,53,68,97,107,144,219],"forms.":[18],"For":[19],"modelling":[20],"and":[21,141,170,191],"integrating":[22],"databases,":[24],"very":[26],"first":[27],"challenge":[28],"is":[29,50,166,173],"to":[30,71,167,175],"understand":[31],"what":[32,38],"a":[33,41,89,110,114,122,126,138,147,161,188,192,198,202],"interface":[35,48],"says-":[36],"or":[37],"capabilities":[40],"source":[42],"supports.":[43],"Such":[44,125],"automatic":[45],"extraction":[46],"of":[47,88,96,160,181,210],"semantics":[49],"challenging,":[51],"as":[52],"forms":[54,69],"created":[56],"autonomously.":[57],"Our":[58,205],"approach":[59],"builds":[60],"on":[61],"observation":[63],"that,":[64],"across":[65,221],"myriad":[66],"sources,":[67],"seem":[70],"reveal":[72],"some":[73],"\"concerted":[74],"structure,\"":[75],"sharing":[77],"common":[78,135],"building":[79],"blocks.":[80],"Toward":[81],"this":[82,153,211],"insight,":[83],"we":[84,155,185],"hypothesize":[85],"existence":[87],"syntax":[91],"that":[92,164,171],"guides":[93],"creation":[95],"interfaces,":[98],"albeit":[99],"from":[100],"different":[101],"sources.":[102,223],"This":[103],"hypothesis":[104],"effectively":[105],"transforms":[106],"interfaces":[108],"into":[109],"visual":[111],"language":[112],"with":[113],"non-prescribed":[115],"grammar-":[116],"and,":[117],"thus,":[118],"their":[119],"semantic":[120],"understanding":[121],"parsing":[123,149,199],"problem.":[124],"paradigm":[127],"enables":[128],"principled":[129],"solutions":[130],"for":[131,201,217],"both":[132],"declaratively":[133],"representing":[134],"patterns,":[136],"derived":[139],"grammar,":[140],"systematically":[142],"interpreting":[143],"forms,":[145],"global":[148],"mechanism.":[150],"To":[151],"realize":[152,197],"paradigm,":[154],"must":[156],"address":[157],"challenges":[159],"hypothetical":[162,203],"syntax-":[163],"it":[165,172],"be":[168],"derived,":[169],"secondary":[174],"input.":[177],"At":[178],"heart":[180],"our":[182],"form":[183],"extractor,":[184],"thus":[186],"develop":[187],"2P":[189],"grammar":[190],"best-effort":[193],"parser,":[194],"which":[195],"together":[196],"mechanism":[200],"syntax.":[204],"experiments":[206],"show":[207],"promise":[209],"approach-it":[212],"achieves":[213],"above":[214],"85%":[215],"accuracy":[216],"extracting":[218],"conditions":[220],"random":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":17}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
