{"id":"https://openalex.org/W2741179356","doi":"https://doi.org/10.1145/3077136.3096472","title":"Semantic Query Understanding","display_name":"Semantic Query Understanding","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741179356","doi":"https://doi.org/10.1145/3077136.3096472","mag":"2741179356"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3096472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3096472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5076204770","display_name":"Ricardo Baeza\u2010Yates","orcid":"https://orcid.org/0000-0003-3208-9778"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ricardo Baeza-Yates","raw_affiliation_strings":["NTENT, Carlsbad, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTENT, Carlsbad, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5076204770"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1357","last_page":"1357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9954000115394592,"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":0.8682816028594971},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7786225080490112},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.6933308243751526},{"id":"https://openalex.org/keywords/semantic-query","display_name":"Semantic query","score":0.6896065473556519},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6598988771438599},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6584621071815491},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.6036167144775391},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.5780416131019592},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.5624398589134216},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.543124794960022},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.49884986877441406},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4984619617462158},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4248208999633789},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3780609965324402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.337510347366333},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2532810568809509},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2499811351299286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8682816028594971},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7786225080490112},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.6933308243751526},{"id":"https://openalex.org/C2778816267","wikidata":"https://www.wikidata.org/wiki/Q21015578","display_name":"Semantic query","level":4,"score":0.6896065473556519},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6598988771438599},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6584621071815491},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.6036167144775391},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.5780416131019592},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.5624398589134216},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.543124794960022},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.49884986877441406},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4984619617462158},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4248208999633789},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3780609965324402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.337510347366333},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2532810568809509},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2499811351299286}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077136.3096472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3096472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2046217376","https://openalex.org/W2044231962","https://openalex.org/W5304494","https://openalex.org/W4254544591","https://openalex.org/W2572349046","https://openalex.org/W1760324756","https://openalex.org/W1984397732","https://openalex.org/W1497307167","https://openalex.org/W2128834514"],"abstract_inverted_index":{"Queries":[0],"are":[1,105,205,293],"often":[2],"ambiguous":[3,79],"and":[4,51,157,166,192,260,268],"can":[5],"be":[6,84],"interpreted":[7],"in":[8,54,152,183,189,196,224,285],"many":[9],"ways,":[10],"even":[11],"by":[12,139],"humans.":[13],"Hence,":[14],"semantic":[15,92,128,171,176,214,218],"query":[16,42,98,103,191],"understanding's":[17],"primary":[18],"objective":[19],"is":[20,75,137],"to":[21,35,44,123,208,238,256],"understand":[22],"the":[23,26,32,37,41,49,55,87,90,97,109,146,150,153,159,164,184,190,197,231,240,243,270,275,286],"intention":[24,279],"behind":[25],"query.":[27,38,56,241],"This":[28],"implies":[29],"first":[30,228],"predicting":[31],"language":[33,165,294,299],"used":[34],"express":[36],"Second,":[39],"parsing":[40],"according":[43],"that":[45,178,187,212,234,282],"language.":[46],"Third,":[47],"extracting":[48],"entities":[50],"concepts":[52,181],"mentioned":[53],"Finally,":[57],"based":[58],"on":[59],"all":[60,203],"this":[61,201],"information,":[62],"we":[63,173,220,235],"predict":[64],"one":[65,85],"or":[66,115,142],"more":[67],"possible":[68,100],"intentions":[69,271],"with":[70],"a":[71,106,112,116,131,135,250],"certain":[72],"probability,":[73],"which":[74],"particularly":[76],"important":[77],"for":[78,89,102,118],"queries.":[80],"These":[81],"scores":[82],"will":[83,283],"of":[86,252],"inputs":[88],"final":[91,261,287],"ranking.":[93],"For":[94],"example,":[95],"given":[96],"\"bond\",":[99],"results":[101,126],"understanding":[104],"financial":[107],"instrument,":[108],"movie":[110],"character,":[111],"chemical":[113],"reaction,":[114],"term":[117],"endearment.":[119],"Semantic":[120],"ranking":[121,124],"refers":[122],"search":[125,133,147,160],"using":[127,140,254],"information.":[129],"In":[130,242],"standard":[132],"engine,":[134],"rank":[136],"computed":[138],"signals":[141],"features":[143,177],"coming":[144],"from":[145,149,158,180],"query,":[148],"documents":[151,195,204],"collection":[154],"being":[155,168],"searched":[156],"context,":[161],"such":[162],"as":[163,272,274],"device":[167],"used.":[169],"Using":[170],"processing,":[172],"also":[174],"add":[175],"come":[179],"present":[182],"knowledge":[185],"base":[186],"appear":[188,284],"semantically":[193,207],"match":[194],"collection.":[198],"To":[199,216],"do":[200],"efficiently,":[202],"preprocessed":[206],"build":[209],"an":[210],"index":[211],"includes":[213],"annotations.":[215],"accomplish":[217],"ranking,":[219],"use":[221,237,298],"machine":[222],"learning":[223],"several":[225],"stages.":[226],"The":[227,258],"stage":[229,262],"selects":[230],"data":[232,247,265],"sources":[233],"should":[236],"answer":[239],"second":[244],"stage,":[245],"each":[246,278],"source":[248],"generates":[249],"set":[251],"answers":[253,276],"\"learning":[255],"rank.\"":[257],"third":[259],"ranks":[263],"these":[264,291],"sources,":[266],"selecting":[267],"ordering":[269],"well":[273],"inside":[277],"(e.g.,":[280],"news)":[281],"composite":[288],"answer.":[289],"All":[290],"techniques":[292],"independent,":[295],"but":[296],"may":[297],"dependent":[300],"features.":[301]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}