{"id":"https://openalex.org/W2897630003","doi":"https://doi.org/10.1145/3269206.3271745","title":"GYANI","display_name":"GYANI","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2897630003","doi":"https://doi.org/10.1145/3269206.3271745","mag":"2897630003"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3271745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","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/A5101456958","display_name":"Dhruv Gupta","orcid":"https://orcid.org/0009-0008-6364-482X"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dhruv Gupta","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbruecken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039440854","display_name":"Klaus Berberich","orcid":"https://orcid.org/0000-0003-3813-9721"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Berberich","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarbruecken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6758,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78164183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"487","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8955433368682861},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7768135070800781},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6630638837814331},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5367504358291626},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5125303268432617},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.45090383291244507},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3802904486656189}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8955433368682861},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7768135070800781},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6630638837814331},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5367504358291626},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5125303268432617},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.45090383291244507},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3802904486656189},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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:10.1145/3269206.3271745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1483236033","https://openalex.org/W1569885000","https://openalex.org/W1981732427","https://openalex.org/W1987878450","https://openalex.org/W2007269563","https://openalex.org/W2021253160","https://openalex.org/W2029576182","https://openalex.org/W2037313714","https://openalex.org/W2068737686","https://openalex.org/W2096797897","https://openalex.org/W2114544510","https://openalex.org/W2123442489","https://openalex.org/W2134912727","https://openalex.org/W2154148563","https://openalex.org/W2168160104","https://openalex.org/W2252221065","https://openalex.org/W2341824259","https://openalex.org/W2463592278","https://openalex.org/W2467775179","https://openalex.org/W2798533386","https://openalex.org/W3013971859","https://openalex.org/W4285719527","https://openalex.org/W4301003577"],"related_works":["https://openalex.org/W2963003682","https://openalex.org/W1592893681","https://openalex.org/W4249836580","https://openalex.org/W3140834074","https://openalex.org/W1561958654","https://openalex.org/W2087742606","https://openalex.org/W2024134474","https://openalex.org/W2081647779","https://openalex.org/W1963586751","https://openalex.org/W2995335655"],"abstract_inverted_index":{"In":[0],"this":[1,82],"work,":[2],"we":[3,84,87,112,181],"describe":[4,85,113],"GYANI":[5,159,180],"(gyan":[6],"stands":[7],"for":[8,15,29,34,134,139,199],"knowledge":[9,141],"in":[10,191],"Hindi),":[11],"an":[12,62],"indexing":[13,63],"infrastructure":[14,64,148],"search":[16,28,133],"and":[17,44,71,100,128,136,165,201],"analysis":[18],"of":[19,69,92,109,187],"large":[20,54,162],"semantically":[21],"annotated":[22,55],"document":[23,56],"collections.":[24],"To":[25,80],"facilitate":[26],"the":[27,119,166],"sentences":[30,135],"or":[31],"text":[32,137],"regions":[33,138],"many":[35],"knowledge-centric":[36],"tasks":[37],"such":[38,61],"as":[39],"information":[40,192],"extraction,":[41,46,193],"question":[42],"answering,":[43],"relationship":[45,204],"it":[47],"is":[48],"required":[49],"that":[50,65,103,117,178],"one":[51],"can":[52,88,104,182],"query":[53,74,115],"collections":[57],"interactively.":[58],"However,":[59],"currently":[60],"scales":[66],"to":[67,107,121,131,170],"millions":[68],"documents":[70],"provides":[72,118],"fast":[73],"execution":[75],"times":[76],"does":[77],"not":[78],"exist.":[79],"alleviate":[81],"problem,":[83],"how":[86],"effectively":[89],"index":[90],"layers":[91],"annotations":[93,130],"(e.g.,":[94],"part-of-speech,":[95],"named":[96],"entities,":[97],"temporal":[98],"expressions,":[99],"numerical":[101],"values)":[102],"be":[105],"attached":[106],"sequences":[108,127],"words.":[110],"Furthermore,":[111],"a":[114,150],"language":[116],"ability":[120],"express":[122],"regular":[123],"expressions":[124],"between":[125],"word":[126],"semantic":[129],"ease":[132],"enabling":[140],"acquisition":[142],"at":[143],"scale.":[144],"We":[145,156,176],"build":[146],"our":[147],"on":[149,195,203],"state-of-the-art":[151],"distributed":[152],"extensible":[153],"record":[154],"store.":[155],"extensively":[157],"evaluate":[158],"over":[160],"two":[161],"news":[163],"archives":[164],"entire":[167],"Wikipedia":[168],"amounting":[169],"more":[171,188],"than":[172,189],"fifteen":[173],"million":[174],"documents.":[175],"observe":[177],"using":[179],"achieve":[183],"significant":[184],"speed":[185],"ups":[186],"95x":[190],"53x":[194],"extracting":[196],"answer":[197],"candidates":[198],"questions,":[200],"12x":[202],"extraction":[205],"task.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2018-10-26T00:00:00"}