{"id":"https://openalex.org/W7166864357","doi":"https://doi.org/10.18653/v1/2026.acl-long.85","title":"CHIMERA: A Knowledge Base of Scientific Idea Recombinations for Research Analysis and Ideation","display_name":"CHIMERA: A Knowledge Base of Scientific Idea Recombinations for Research Analysis and Ideation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166864357","doi":"https://doi.org/10.18653/v1/2026.acl-long.85"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.acl-long.85","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.85","pdf_url":"https://aclanthology.org/2026.acl-long.85.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.acl-long.85.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139792889","display_name":"Noy Sternlicht","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noy Sternlicht","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139735619","display_name":"Tom Hope","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tom Hope","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87359307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1871","last_page":"1905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14369","display_name":"Diverse Interdisciplinary Research Innovations","score":0.02930000051856041,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14369","display_name":"Diverse Interdisciplinary Research Innovations","score":0.02930000051856041,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10072","display_name":"Science Education and Pedagogy","score":0.022299999371170998,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10778","display_name":"Philosophy and History of Science","score":0.020500000566244125,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4700999855995178},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.45910000801086426},{"id":"https://openalex.org/keywords/ideation","display_name":"Ideation","score":0.38350000977516174},{"id":"https://openalex.org/keywords/sociology-of-scientific-knowledge","display_name":"Sociology of scientific knowledge","score":0.36640000343322754},{"id":"https://openalex.org/keywords/research-methodology","display_name":"Research methodology","score":0.31369999051094055},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.30550000071525574}],"concepts":[{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4700999855995178},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.45910000801086426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4219000041484833},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.4212000072002411},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3910999894142151},{"id":"https://openalex.org/C170477896","wikidata":"https://www.wikidata.org/wiki/Q17039022","display_name":"Ideation","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C195732255","wikidata":"https://www.wikidata.org/wiki/Q981008","display_name":"Sociology of scientific knowledge","level":2,"score":0.36640000343322754},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.33180001378059387},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3142000138759613},{"id":"https://openalex.org/C2986817661","wikidata":"https://www.wikidata.org/wiki/Q185698","display_name":"Research methodology","level":3,"score":0.31369999051094055},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3091000020503998},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C2779318504","wikidata":"https://www.wikidata.org/wiki/Q1438035","display_name":"Research design","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.acl-long.85","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.85","pdf_url":"https://aclanthology.org/2026.acl-long.85.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.acl-long.85","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.85","pdf_url":"https://aclanthology.org/2026.acl-long.85.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166864357.pdf","grobid_xml":"https://content.openalex.org/works/W7166864357.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"hallmark":[1],"of":[2,8,30,42,97,110,118,153],"human":[3],"innovation":[4],"is":[5],"recombination-the":[6],"creation":[7],"novel":[9,159],"ideas":[10],"by":[11],"integrating":[12],"elements":[13],"from":[14,35,50,150],"existing":[15],"concepts":[16,46],"and":[17,47,53,81,145],"mechanisms.In":[18],"this":[19,63],"work,":[20],"we":[21,65,91,115,123],"introduce":[22],"CHIMERA,":[23],"the":[24,36,108,131,151],"first":[25],"large-scale":[26],"Knowledge":[27],"Base":[28],"(KB)":[29],"recombination":[31,73,119],"examples":[32],"automatically":[33],"mined":[34],"scientific":[37,126],"literature.CHIMERA":[38],"enables":[39,54],"empirical":[40],"analysis":[41],"how":[43],"scientists":[44],"recombine":[45],"draw":[48],"inspiration":[49,149],"different":[51],"areas,":[52],"training":[55],"models":[56],"that":[57,134,139],"propose":[58,137],"cross-disciplinary":[59],"research":[60],"directions.To":[61],"construct":[62],"KB,":[64,132],"define":[66],"a":[67,94,104,125,158,162],"new":[68],"information":[69],"extraction":[70,88],"task:":[71],"identifying":[72],"instances":[74],"in":[75],"papers.We":[76,99],"curate":[77],"an":[78,86],"expertannotated":[79],"dataset":[80],"use":[82],"it":[83,135],"to":[84,93,103,156],"fine-tune":[85],"LLM-based":[87],"model,":[89],"which":[90],"apply":[92],"broad":[95],"corpus":[96],"AI":[98,121],"also":[100],"demonstrate":[101],"generalization":[102],"biological":[105],"domain.We":[106],"showcase":[107],"utility":[109],"CHIMERA":[111],"through":[112],"two":[113],"applications.First,":[114],"analyze":[116],"patterns":[117],"across":[120],"subfields.Second,":[122],"train":[124],"hypothesis":[127],"generation":[128],"model":[129],"using":[130],"showing":[133],"can":[136],"directions":[138],"researchers":[140],"rate":[141],"as":[142],"inspiring.\"the":[143],"flexibility":[144],"resilience":[146,152],"...We":[147],"take":[148],"dragonfly":[154],"wings":[155],"present":[157],"design":[160],"for":[161],"drone":[163],"propeller...":[164]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
