{"id":"https://openalex.org/W2049540727","doi":"https://doi.org/10.1145/1281192.1281216","title":"Exploiting underrepresented query aspects for automatic query expansion","display_name":"Exploiting underrepresented query aspects for automatic query expansion","publication_year":2007,"publication_date":"2007-08-12","ids":{"openalex":"https://openalex.org/W2049540727","doi":"https://doi.org/10.1145/1281192.1281216","mag":"2049540727"},"language":"en","primary_location":{"id":"doi:10.1145/1281192.1281216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1281192.1281216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055012575","display_name":"Daniel Crabtree","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Daniel Wayne Crabtree","raw_affiliation_strings":["Victoria University of Wellington","(Victoria University of Wellington)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"(Victoria University of Wellington)","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043334999","display_name":"Peter Andreae","orcid":"https://orcid.org/0000-0002-2789-680X"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Peter Andreae","raw_affiliation_strings":["Victoria University of Wellington","(Victoria University of Wellington)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"(Victoria University of Wellington)","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068382420","display_name":"Xiaoying Gao","orcid":"https://orcid.org/0000-0002-6326-7947"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Xiaoying Gao","raw_affiliation_strings":["Victoria University of Wellington","(Victoria University of Wellington)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"(Victoria University of Wellington)","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":2.1302,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88256369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"200"},"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":0.996999979019165,"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":0.9965999722480774,"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/query-expansion","display_name":"Query expansion","score":0.8128613233566284},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.8020057678222656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.776094913482666},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.738771378993988},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5946933031082153},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.50784832239151},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.49574241042137146},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.4928129017353058},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46476587653160095},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.21282804012298584}],"concepts":[{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.8128613233566284},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.8020057678222656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776094913482666},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.738771378993988},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5946933031082153},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.50784832239151},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.49574241042137146},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.4928129017353058},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46476587653160095},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.21282804012298584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1281192.1281216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1281192.1281216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310144","display_name":"Tertiary Education Commission","ror":"https://ror.org/05xhe5a74"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W126924136","https://openalex.org/W187060457","https://openalex.org/W342382107","https://openalex.org/W1501500081","https://openalex.org/W1533168581","https://openalex.org/W1557757161","https://openalex.org/W1588320668","https://openalex.org/W1911857613","https://openalex.org/W1963658069","https://openalex.org/W1979459060","https://openalex.org/W1981435578","https://openalex.org/W1983671927","https://openalex.org/W2005113138","https://openalex.org/W2011563572","https://openalex.org/W2023772410","https://openalex.org/W2028709054","https://openalex.org/W2030603245","https://openalex.org/W2043909051","https://openalex.org/W2081748524","https://openalex.org/W2100958137","https://openalex.org/W2117829666","https://openalex.org/W2127931924","https://openalex.org/W2130900715","https://openalex.org/W2135843591","https://openalex.org/W2141751077","https://openalex.org/W2153887206","https://openalex.org/W2153927559","https://openalex.org/W2164547069","https://openalex.org/W2165897980","https://openalex.org/W2170714116","https://openalex.org/W4210794727","https://openalex.org/W4231856373","https://openalex.org/W4234747732","https://openalex.org/W6629971530","https://openalex.org/W6684151790"],"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/W2017989738","https://openalex.org/W2124814993","https://openalex.org/W1952568433","https://openalex.org/W2367594159"],"abstract_inverted_index":{"Users":[0],"attempt":[1],"to":[2,28,93],"express":[3],"their":[4],"search":[5,9,13,41,68],"goals":[6],"through":[7],"web":[8,40],"queries.":[10],"When":[11],"a":[12,53,170],"goal":[14],"has":[15],"multiple":[16],"components":[17],"or":[18],"aspects,":[19],"documents":[20,50,72],"that":[21,34,73,126,129,145,177],"represent":[22,36,51,74],"all":[23],"the":[24,56,61,64,67,90,95,99,102,110,114,135,138,150],"aspects":[25,77,100,106],"are":[26,107],"likely":[27],"be":[29],"more":[30,75],"relevant":[31],"than":[32],"those":[33],"only":[35,52],"some":[37],"aspects.":[38,58],"Current":[39],"engines":[42],"often":[43],"produce":[44],"result":[45,111],"sets":[46],"whose":[47],"top":[48],"ranking":[49],"subset":[54],"of":[55,113,152,172],"query":[57,62,76,136,158,174],"By":[59],"expanding":[60],"using":[63,137],"right":[65,91],"keywords,":[66],"engine":[69],"can":[70],"find":[71],"and":[78,117,132,187],"performance":[79],"improves.":[80],"This":[81],"paper":[82,142],"describes":[83],"AbraQ,":[84],"an":[85],"approach":[86],"for":[87,119],"automatically":[88,133],"finding":[89],"keywords":[92,125],"expand":[94],"query.":[96],"AbraQ":[97,147,165],"identifies":[98,104,124],"in":[101,109],"query,":[103,116],"which":[105],"underrepresented":[108,122],"set":[112],"original":[115],"finally,":[118],"any":[120],"particularly":[121],"aspect,":[123],"would":[127],"enhance":[128],"aspect's":[130],"representation":[131],"expands":[134],"best":[139],"one.":[140],"The":[141],"presents":[143],"experiments":[144],"show":[146],"significantly":[148],"increases":[149],"precision":[151],"hard":[153],"queries,":[154],"whereas":[155],"traditional":[156],"automatic":[157],"expansion":[159,175],"techniques":[160,176],"have":[161],"not":[162],"improved":[163],"precision.":[164],"also":[166],"compared":[167],"favourably":[168],"against":[169],"range":[171],"interactive":[173],"require":[178],"user":[179],"involvement":[180],"including":[181],"clustering,":[182],"web-log":[183],"analysis,":[184],"relevance":[185,189],"feedback,":[186],"pseudo":[188],"feedback.":[190]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}