{"id":"https://openalex.org/W7225419693","doi":"https://doi.org/10.5281/zenodo.23996334","title":"Predictive Semantic Demand Modeling for Generative AI: Anticipating Future User Question Topics and Semantic Categories Before Requests Materialize","display_name":"Predictive Semantic Demand Modeling for Generative AI: Anticipating Future User Question Topics and Semantic Categories Before Requests Materialize","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7225419693","doi":"https://doi.org/10.5281/zenodo.23996334"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23996334","doi":"https://doi.org/10.5281/zenodo.23996334","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23996334","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23996334","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638045","display_name":"Jincheng Zhang","orcid":"https://orcid.org/0000-0001-7332-6704","observed_orcids":["https://orcid.org/0000-0001-7332-6704","https://orcid.org/0009-0005-1860-0009"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Jincheng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0005-1860-0009","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100638045"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8471999764442444,"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":0.8471999764442444,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.05480000004172325,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.045099999755620956,"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/generative-ai","display_name":"generative AI","score":0.7059999704360962},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9350000023841858},{"id":"https://openalex.org/keywords/topic-prediction","display_name":"topic prediction","score":0.8090000152587891},{"id":"https://openalex.org/keywords/workload-estimation","display_name":"workload estimation","score":0.4490000009536743},{"id":"https://openalex.org/keywords/uncertainty-aware-prediction","display_name":"uncertainty-aware prediction","score":0.8140000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8137000203132629},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5471000075340271},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.49950000643730164},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4629000127315521},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4462999999523163},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.435699999332428},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.43479999899864197},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.4205999970436096},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3995000123977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3765999972820282},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.36320000886917114},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3398999869823456},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.3384000062942505},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32739999890327454},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23996334","doi":"https://doi.org/10.5281/zenodo.23996334","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23996334","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.23996335","doi":"https://doi.org/10.5281/zenodo.23996335","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23996335","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23996334","doi":"https://doi.org/10.5281/zenodo.23996334","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23996334","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7225374951","https://openalex.org/W7225427586","https://openalex.org/W7225389669","https://openalex.org/W7225267314","https://openalex.org/W7225275234","https://openalex.org/W7225385268","https://openalex.org/W7225401292","https://openalex.org/W7225332613","https://openalex.org/W7225398780","https://openalex.org/W7225398588"],"abstract_inverted_index":{"The":[0,235,331],"increasing":[1],"adoption":[2],"of":[3,17,45,66,79,94,147,170,203,224,277,305,348,356],"large":[4],"language":[5],"models":[6,285],"(LLMs)":[7],"has":[8],"created":[9],"a":[10,64,120,239,335],"growing":[11],"need":[12],"for":[13,123,230,268,286,315,338,342],"computational":[14,47,54,197,266,303,351,364],"systems":[15],"capable":[16],"anticipating":[18,124,231],"future":[19,53,80,125,141,148,171,190,232,269,278,288,328,350,358],"user":[20,126,233,255],"information":[21,81,102,178,229,247,270,359],"requirements.":[22],"Existing":[23],"generative":[24,261],"AI":[25,262,344],"inference":[26],"optimization":[27],"techniques":[28],"primarily":[29],"respond":[30],"to":[31,88,264,371],"requests":[32,134],"after":[33],"they":[34,96],"have":[35],"materialized,":[36],"while":[37],"emerging":[38,153,181],"predictive":[39,362],"computing":[40],"approaches":[41],"investigate":[42],"the":[43,76,165,204,208,274,301,346,354],"possibility":[44],"preparing":[46],"resources":[48,267],"in":[49],"advance.":[50],"However,":[51],"predicting":[52,138,287],"demand":[55,150,185,242,318],"requires":[56],"more":[57],"than":[58,137],"estimating":[59,164,291],"request":[60,293],"frequency":[61],"or":[62],"generating":[63,159],"collection":[65],"potentially":[67],"popular":[68],"questions.":[69],"An":[70],"important":[71],"intermediate":[72],"challenge":[73],"is":[74,207,280],"understanding":[75],"semantic":[77,130,149,161,184,188,213,241,289,297,307,317],"structure":[78],"demand:":[82],"what":[83,92],"topics":[84,128,248],"users":[85],"are":[86],"likely":[87],"become":[89],"interested":[90],"in,":[91],"categories":[93,131,252],"questions":[95,279],"may":[97,104,259],"ask,":[98],"and":[99,109,129,163,167,196,216,226,253,299,326,366],"how":[100],"their":[101,156],"requirements":[103,271],"evolve":[105],"as":[106],"new":[107],"events":[108],"developments":[110],"emerge.":[111],"This":[112,257],"paper":[113],"introduces":[114,238],"Predictive":[115,340],"Semantic":[116],"Demand":[117],"Modeling":[118],"(PSDM),":[119],"conceptual":[121,336],"framework":[122,206,236,333],"question":[127,172,191,218,251,329],"before":[132],"corresponding":[133],"occur.":[135],"Rather":[136],"only":[139],"individual":[140,217,349],"questions,":[142],"PSDM":[143],"constructs":[144],"probabilistic":[145],"representations":[146],"by":[151],"identifying":[152],"topics,":[154],"forecasting":[155],"potential":[157,254],"development,":[158],"hierarchical":[160,240],"categories,":[162],"probability":[166],"expected":[168,302],"distribution":[169,192],"types.":[173],"Its":[174,361],"architecture":[175],"integrates":[176],"external":[177],"signal":[179],"acquisition,":[180],"topic":[182,211,324],"identification,":[183],"classification,":[186],"temporal":[187,296],"forecasting,":[189,323],"estimation,":[193],"uncertainty-aware":[194],"prediction,":[195,212,215,325],"workload":[198],"representation.":[199],"A":[200],"central":[201],"contribution":[202],"proposed":[205,332],"distinction":[209],"between":[210],"category":[214],"prediction.":[219],"These":[220],"represent":[221],"different":[222],"levels":[223],"abstraction":[225],"provide":[227],"complementary":[228],"demand.":[234,360],"further":[237],"representation":[243,258],"that":[244],"connects":[245],"broad":[246],"with":[249,320],"specific":[250],"queries.":[256],"enable":[260],"infrastructure":[263],"prepare":[265],"even":[272],"when":[273],"exact":[275],"wording":[276],"unknown.":[281],"We":[282,309],"formulate":[283],"mathematical":[284],"demand,":[290],"category-level":[292],"distributions,":[294],"evaluating":[295],"evolution,":[298],"determining":[300],"value":[304],"predicted":[306],"workloads.":[308],"also":[310],"establish":[311],"an":[312],"experimental":[313],"methodology":[314],"comparing":[316],"prediction":[319,347,355],"conventional":[321],"frequency-based":[322],"direct":[327],"generation.":[330],"provides":[334],"foundation":[337],"extending":[339],"Computing":[341],"Generative":[343],"from":[345],"workloads":[352],"toward":[353],"structured":[357],"accuracy,":[363],"benefits,":[365],"practical":[367],"scalability":[368],"remain":[369],"subject":[370],"empirical":[372],"validation.":[373]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-11-07T00:00:00"}
