{"id":"https://openalex.org/W2067506377","doi":"https://doi.org/10.1145/2808194.2809446","title":"Query Expansion with Freebase","display_name":"Query Expansion with Freebase","publication_year":2015,"publication_date":"2015-09-22","ids":{"openalex":"https://openalex.org/W2067506377","doi":"https://doi.org/10.1145/2808194.2809446","mag":"2067506377"},"language":"en","primary_location":{"id":"doi:10.1145/2808194.2809446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808194.2809446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 International Conference on The Theory of Information Retrieval","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/A5102363883","display_name":"Chenyan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chenyan Xiong","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009879041","display_name":"Jamie Callan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamie Callan","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102363883"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":37.0832,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.99696148,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9965000152587891,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9965000152587891,"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/T10028","display_name":"Topic Modeling","score":0.9959999918937683,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9957000017166138,"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":0.8802478313446045},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.8214916586875916},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.730707049369812},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5297696590423584},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.517832338809967},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.512488603591919},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5059608817100525},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.4946574866771698},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4935044050216675},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4209766089916229},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.3230936825275421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1498900055885315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8802478313446045},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.8214916586875916},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.730707049369812},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5297696590423584},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.517832338809967},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.512488603591919},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5059608817100525},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.4946574866771698},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4935044050216675},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4209766089916229},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.3230936825275421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1498900055885315},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808194.2809446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808194.2809446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 International Conference on The Theory of Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5523903616","display_name":null,"funder_award_id":"IIS-1422676","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2808882","https://openalex.org/W1493490255","https://openalex.org/W1512387364","https://openalex.org/W1552847225","https://openalex.org/W1587004086","https://openalex.org/W1644154418","https://openalex.org/W1685426458","https://openalex.org/W1964348731","https://openalex.org/W1989885825","https://openalex.org/W2000411838","https://openalex.org/W2036181041","https://openalex.org/W2052088591","https://openalex.org/W2058200372","https://openalex.org/W2070740689","https://openalex.org/W2071780887","https://openalex.org/W2102563107","https://openalex.org/W2104049510","https://openalex.org/W2107370612","https://openalex.org/W2108877333","https://openalex.org/W2119953525","https://openalex.org/W2153635508","https://openalex.org/W2159859920","https://openalex.org/W2161066414","https://openalex.org/W2169213601","https://openalex.org/W2241862190","https://openalex.org/W2247412337","https://openalex.org/W2283472011","https://openalex.org/W2406556078","https://openalex.org/W4246858749"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2026738364","https://openalex.org/W2124814993","https://openalex.org/W2392799717","https://openalex.org/W2017989738","https://openalex.org/W3125756434","https://openalex.org/W2113390685","https://openalex.org/W1981131819","https://openalex.org/W2146885082"],"abstract_inverted_index":{"Large":[0],"knowledge":[1,25,52],"bases":[2],"are":[3,105,124],"being":[4],"developed":[5],"to":[6,14,29,55,86,101,137],"describe":[7],"entities,":[8],"their":[9,12],"attributes,":[10],"and":[11,45,61,79,99],"relationships":[13],"other":[15],"entities.":[16],"Prior":[17],"research":[18],"mostly":[19],"focuses":[20],"on":[21,111],"the":[22,73,112],"construction":[23],"of":[24,48,71,82,142],"bases,":[26],"while":[27],"how":[28],"use":[30],"them":[31],"in":[32],"information":[33,64,94],"retrieval":[34,65],"is":[35],"still":[36],"an":[37],"open":[38],"problem.":[39],"This":[40],"paper":[41],"presents":[42],"a":[43,59,77],"simple":[44],"effective":[46,106,128],"method":[47],"using":[49,83],"one":[50],"such":[51],"base,":[53],"Freebase,":[54],"improve":[56],"query":[57,88,108,132],"expansion,":[58],"classic":[60],"widely":[62],"studied":[63],"task.":[66],"It":[67],"investigates":[68],"two":[69,80],"methods":[70,81,123,144],"identifying":[72],"entities":[74,85],"associated":[75],"with":[76,115,152],"query,":[78],"those":[84],"perform":[87],"expansion.":[89,109],"A":[90],"supervised":[91],"model":[92],"combines":[93],"derived":[95],"from":[96],"Freebase":[97],"descriptions":[98],"categories":[100],"select":[102],"terms":[103],"that":[104,121],"for":[107],"Experiments":[110],"ClueWeb09":[113],"dataset":[114],"TREC":[116],"Web":[117],"Track":[118],"queries":[119,155],"demonstrate":[120],"these":[122,143],"almost":[125],"30%":[126],"more":[127],"than":[129,149],"strong,":[130],"state-of-the-art":[131],"expansion":[133],"algorithms.":[134],"In":[135],"addition":[136],"improving":[138],"average":[139],"performance,":[140],"some":[141],"have":[145],"better":[146],"win/loss":[147],"ratios":[148],"baseline":[150],"algorithms,":[151],"50%":[153],"fewer":[154],"damaged.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
