{"id":"https://openalex.org/W4401336336","doi":"https://doi.org/10.1109/icsse61472.2024.10608962","title":"Evaluation of Topic Models and Information Retrieval Methods in Support of Lessons Learned and Knowledge Management","display_name":"Evaluation of Topic Models and Information Retrieval Methods in Support of Lessons Learned and Knowledge Management","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4401336336","doi":"https://doi.org/10.1109/icsse61472.2024.10608962"},"language":"en","primary_location":{"id":"doi:10.1109/icsse61472.2024.10608962","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icsse61472.2024.10608962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on System Science and Engineering (ICSSE)","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/A5104382976","display_name":"Ashley Simone Kelsey Sumpter","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ashley Simone Kelsey Sumpter","raw_affiliation_strings":["New Mexico State University,Industrial Engineering Department,Las Cruces,NM,USA"],"affiliations":[{"raw_affiliation_string":"New Mexico State University,Industrial Engineering Department,Las Cruces,NM,USA","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028940424","display_name":"Edward Pines","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward Pines","raw_affiliation_strings":["New Mexico State University,Industrial Engineering Department,Las Cruces,NM,USA"],"affiliations":[{"raw_affiliation_string":"New Mexico State University,Industrial Engineering Department,Las Cruces,NM,USA","institution_ids":["https://openalex.org/I10052268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104382976"],"corresponding_institution_ids":["https://openalex.org/I10052268"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10379793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9952999949455261,"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":0.9952999949455261,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9937000274658203,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.991100013256073,"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":0.6948610544204712},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5500126481056213},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.49863290786743164},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4363710582256317},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32946187257766724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948610544204712},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5500126481056213},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.49863290786743164},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4363710582256317},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32946187257766724}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsse61472.2024.10608962","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icsse61472.2024.10608962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on System Science and Engineering (ICSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W168564468","https://openalex.org/W1015675232","https://openalex.org/W1521626219","https://openalex.org/W2000518393","https://openalex.org/W2068656424","https://openalex.org/W2085597081","https://openalex.org/W2100456378","https://openalex.org/W2147152072","https://openalex.org/W2522581443","https://openalex.org/W2587736677","https://openalex.org/W2887027901","https://openalex.org/W2913569348","https://openalex.org/W2964312383","https://openalex.org/W3043222912","https://openalex.org/W3090556797","https://openalex.org/W3197518744","https://openalex.org/W4213009331","https://openalex.org/W4400526462","https://openalex.org/W6679652559","https://openalex.org/W6684489972"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0,84],"lesson":[1,75,82],"learned":[2,40,94,108,219,225],"is":[3,42,95,144,183],"the":[4,38,65,68,71,74,78,113,127,139,156,170,184,198,233,251],"application":[5],"of":[6,17,60,67,73,80,186,202],"previous":[7,119],"experiences":[8],"to":[9,27,76,99,117,129,160,169,196,214,250],"improve":[10,215],"decision-making":[11],"and":[12,23,33,50,70,91,141,164,238,263],"organizational":[13,21,52],"efficiency.":[14],"The":[15,269],"lack":[16],"learning":[18,61,193],"from":[19,131],"past":[20,132],"mistakes":[22],"successes":[24],"has":[25],"contributed":[26],"extended":[28],"schedules,":[29],"increased":[30],"program":[31,35,46],"costs,":[32],"excessive":[34],"rework.":[36],"Applying":[37],"lessons":[39,93,107,120,150,179,218],"process":[41],"critical":[43],"in":[44,87,138,175,217,222,245,248,278],"meeting":[45],"objectives,":[47],"mitigating":[48],"risks,":[49],"improving":[51],"effectiveness":[53],"by":[54,134],"avoiding":[55],"costly":[56],"errors.":[57],"This":[58,110,208],"type":[59],"requires":[62],"communication":[63],"between":[64],"source":[66],"knowledge":[69,102,137,223],"receiver(s)":[72],"magnify":[77],"benefits":[79],"a":[81,101,106,124],"learned.":[83],"significant":[85,173],"factor":[86],"gathering,":[88],"maintaining,":[89],"sharing,":[90],"reviewing":[92],"for":[96,158],"an":[97,148,177],"organization":[98,128],"implement":[100],"management":[103,152,181],"system":[104],"or":[105],"database.":[109],"system/database":[111],"allows":[112,126],"team":[114],"members":[115],"access":[116],"all":[118,274],"learned,":[121],"which,":[122],"as":[123,232],"result,":[125],"learn":[130],"mistakes/successes":[133],"applying":[135],"that":[136,154],"present":[140],"future.":[142],"There":[143],"limited":[145],"research":[146,209],"on":[147],"automatic":[149,178],"learned/knowledge":[151,180],"database":[153,182],"removes":[155],"need":[157],"users":[159],"perform":[161],"manual":[162],"searching":[163],"provides":[165],"highly":[166],"relevant":[167],"results":[168],"users.":[171],"One":[172],"step":[174],"constructing":[176],"implementation":[185],"topic":[187,211,229,267,271,275],"models.":[188,268],"Topic":[189],"models":[190,212,230,276],"are":[191,243],"machine":[192],"algorithms":[194],"produced":[195],"identify":[197],"foundational":[199],"semantic":[200],"structures":[201],"corpora":[203],"using":[204],"Bayesian":[205],"hierarchical":[206],"modeling.":[207],"evaluates":[210],"intending":[213],"relevancy":[216],"query":[220],"searches":[221],"management/lessons":[224],"databases.":[226],"Widely":[227],"utilized":[228],"such":[231],"Latent":[234,239],"Dirichlet":[235,260],"Allocation":[236],"(LDA)":[237],"Semantic":[240],"Indexing":[241],"(LSI)":[242],"investigated":[244],"this":[246,279],"paper":[247],"addition":[249],"Term":[252],"Frequency":[253,257],"\u2013":[254],"Inverse":[255],"Document":[256],"(TF-IDF),":[258],"Hierarchical":[259],"Process":[261],"(HDP),":[262],"Random":[264],"Projections":[265],"(RP)":[266],"TF-IDF":[270],"model":[272],"outperformed":[273],"evaluated":[277],"work.":[280]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}