{"id":"https://openalex.org/W7162658215","doi":"https://doi.org/10.1145/3774905.3795080","title":"ORKG Properties Ontology Consolidated: LLM-Driven Refinement of Crowdsourced Knowledge for Machine-Actionability","display_name":"ORKG Properties Ontology Consolidated: LLM-Driven Refinement of Crowdsourced Knowledge for Machine-Actionability","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162658215","doi":"https://doi.org/10.1145/3774905.3795080"},"language":null,"primary_location":{"id":"doi:10.1145/3774905.3795080","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795080","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774905.3795080","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137196491","display_name":"Sandra Schaftner","orcid":"https://orcid.org/0009-0008-3235-3042"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sandra Schaftner","raw_affiliation_strings":["Chemnitz University of Technology, Chemnitz, Germany"],"raw_orcid":"https://orcid.org/0009-0008-3235-3042","affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087069237","display_name":"Martin Gaedke","orcid":"https://orcid.org/0000-0002-6729-2912"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Gaedke","raw_affiliation_strings":["Chemnitz University of Technology, Chemnitz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6729-2912","affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2610724"],"apc_list":null,"apc_paid":null,"fwci":17.2774,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99020167,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1009","last_page":"1016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.4309999942779541,"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":0.4309999942779541,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.06109999865293503,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.032499998807907104,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/ontology","display_name":"Ontology","score":0.6184999942779541},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.3158999979496002},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.30410000681877136},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.28999999165534973},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2865000069141388},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.2856000065803528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830999851226807},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6184999942779541},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35260000824928284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.321399986743927},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27320000529289246},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2563999891281128},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774905.3795080","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795080","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774905.3795080","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795080","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2110961693","https://openalex.org/W2590136041","https://openalex.org/W2616601454","https://openalex.org/W3021873329","https://openalex.org/W3112005222","https://openalex.org/W4291745514","https://openalex.org/W4312311432","https://openalex.org/W4323345796","https://openalex.org/W4382680222","https://openalex.org/W4386576685","https://openalex.org/W4390875623","https://openalex.org/W4397029707","https://openalex.org/W4399358184","https://openalex.org/W4401908667","https://openalex.org/W4404113858","https://openalex.org/W4408858386","https://openalex.org/W4411136962","https://openalex.org/W6925592739","https://openalex.org/W6964608995"],"related_works":[],"abstract_inverted_index":{"In":[0,104],"the":[1,26,52,62,72,76,80,109,142,180,185],"era":[2],"of":[3,37,55,66,154,184],"Generative":[4],"AI,":[5],"Scientific":[6],"Knowledge":[7,29],"Graphs":[8],"(SKGs)":[9],"have":[10],"become":[11],"instrumental":[12],"for":[13,19,208],"grounding":[14],"Retrieval-Augmented":[15],"Generation":[16],"(RAG),":[17],"especially":[18],"mitigating":[20],"hallucinations.":[21],"As":[22],"a":[23,34,115,125,199,205],"prominent":[24],"example,":[25],"Open":[27],"Research":[28],"Graph":[30],"(ORKG)":[31],"serves":[32],"as":[33,58,91],"foundational":[35],"element":[36],"emerging":[38],"research":[39,56,156],"data":[40],"infrastructures.":[41],"It":[42],"distinguishes":[43],"itself":[44],"by":[45],"modeling":[46],"not":[47],"only":[48],"metadata":[49],"but":[50],"also":[51],"semantic":[53,171,182],"content":[54],"publications":[57],"fine-grained":[59],"triples.":[60],"However,":[61],"quality":[63,84],"and":[64,98,140,168,170,212],"utility":[65],"these":[67,121],"triples":[68],"heavily":[69],"depend":[70],"on":[71],"predicates":[73],"defined":[74],"in":[75],"ORKG":[77,111,210],"ontology.":[78],"Currently,":[79],"ontology":[81],"suffers":[82],"from":[83],"degradation":[85],"inherent":[86],"to":[87,119,137],"uncontrolled":[88],"crowdsourcing,":[89],"such":[90],"widely":[92],"duplicated":[93],"properties,":[94],"inconsistent":[95],"naming":[96,176],"conventions,":[97],"ambiguous":[99],"semantics,":[100],"thereby":[101],"inhibiting":[102],"machine-actionability.":[103],"this":[105],"paper,":[106],"we":[107,188],"introduce":[108],"Consolidated":[110],"Properties":[112],"Ontology":[113],"(OPO-Consolidated),":[114],"consolidated":[116],"schema":[117,163],"designed":[118],"resolve":[120],"inconsistencies.":[122],"We":[123],"present":[124],"semi-automated":[126],"workflow":[127],"that":[128,159,190],"combines":[129],"Large":[130],"Language":[131],"Models":[132],"(LLMs)":[133],"with":[134,195],"human":[135],"engineering":[136],"systematically":[138],"clean":[139],"restructure":[141],"existing":[143,196],"property":[144],"set.":[145],"Our":[146],"evaluation,":[147],"utilizing":[148],"an":[149],"established":[150,209],"Gold":[151],"Standard":[152],"dataset":[153],"153":[155],"papers,":[157],"demonstrates":[158],"OPO-Consolidated":[160,191],"substantially":[161],"improves":[162],"conciseness":[164],"(by":[165,173],"resolving":[166],"synonymy":[167],"redundancy)":[169],"consistency":[172],"enforcing":[174],"uniform":[175],"conventions)":[177],"while":[178,203],"maintaining":[179],"valuable":[181],"coverage":[183],"data.":[186],"Furthermore,":[187],"show":[189],"ensures":[192],"backward":[193],"compatibility":[194],"data,":[197],"providing":[198],"seamless":[200],"migration":[201],"path":[202],"establishing":[204],"machine-actionable":[206],"foundation":[207],"comparisons":[211],"future":[213],"downstream":[214],"tasks.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-05-29T00:00:00"}