{"id":"https://openalex.org/W4382201593","doi":"https://doi.org/10.1145/3582768.3582772","title":"Extraction of Common Physical Properties of Everyday Objects from Structured Sources","display_name":"Extraction of Common Physical Properties of Everyday Objects from Structured Sources","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4382201593","doi":"https://doi.org/10.1145/3582768.3582772"},"language":"en","primary_location":{"id":"doi:10.1145/3582768.3582772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582768.3582772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval","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/A5005558095","display_name":"Viktor Losing","orcid":"https://orcid.org/0000-0002-7444-1904"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Viktor Losing","raw_affiliation_strings":["Honda Research Institute Europe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7444-1904","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039532032","display_name":"Julian Eggert","orcid":"https://orcid.org/0000-0003-4437-6133"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julian Eggert","raw_affiliation_strings":["Honda Research Institute Europe, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4437-6133","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Germany","institution_ids":["https://openalex.org/I4210112253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005558095"],"corresponding_institution_ids":["https://openalex.org/I4210112253"],"apc_list":null,"apc_paid":null,"fwci":0.0754,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34187587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9714000225067139,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.957099974155426,"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/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.8692930936813354},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.7896697521209717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7880180478096008},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7507075071334839},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7165966033935547},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6808747053146362},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6079952716827393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6019308567047119},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5164575576782227},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4689314663410187},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4678160846233368},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.42426198720932007},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37081262469291687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3428286910057068},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0917913019657135}],"concepts":[{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.8692930936813354},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.7896697521209717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880180478096008},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7507075071334839},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7165966033935547},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6808747053146362},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6079952716827393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6019308567047119},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5164575576782227},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4689314663410187},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4678160846233368},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.42426198720932007},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37081262469291687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3428286910057068},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0917913019657135},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582768.3582772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582768.3582772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2038721957","https://openalex.org/W2172131625","https://openalex.org/W2561529111","https://openalex.org/W2740432174","https://openalex.org/W2783894900","https://openalex.org/W2889002152","https://openalex.org/W2963601972","https://openalex.org/W2977745385","https://openalex.org/W2986213397","https://openalex.org/W3034918576"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W4385488510","https://openalex.org/W2196562041","https://openalex.org/W2073302931","https://openalex.org/W3206107299","https://openalex.org/W3082691151","https://openalex.org/W4287633646","https://openalex.org/W4378501473"],"abstract_inverted_index":{"Commonsense":[0],"knowledge":[1,45,48,116],"is":[2,24,66,108],"essential":[3],"for":[4,17,43],"the":[5,12,35,52,59,62,120,123,147,154],"reasoning":[6],"of":[7,14,21,38,61,96,122,140,149],"AI":[8],"systems,":[9],"particularly":[10],"in":[11,54],"context":[13],"action":[15],"planning":[16,39],"robots.":[18],"The":[19,106],"focus":[20],"this":[22,84],"paper":[23],"on":[25,110,128],"common-sense":[26],"object":[27,97],"properties,":[28],"which":[29],"are":[30,46,100],"especially":[31],"useful":[32],"to":[33,79,90,102,153],"restrict":[34],"search":[36],"space":[37],"algorithms.":[40],"Popular":[41],"sources":[42],"such":[44],"commonsense":[47,115],"bases":[49,117],"that":[50,99],"provide":[51],"information":[53],"a":[55,80,88,92],"structured":[56],"form.":[57],"However,":[58],"utility":[60],"provided":[63],"object-property":[64,125,150],"pairs":[65,126,151],"limited":[67],"as":[68],"they":[69],"can":[70],"be":[71],"simply":[72],"incorrect,":[73],"subjective,":[74],"unspecific,":[75],"or":[76],"relate":[77],"only":[78],"narrow":[81],"context.":[82],"In":[83],"paper,":[85],"we":[86,136],"suggest":[87],"methodology":[89],"create":[91],"highly":[93],"accurate":[94],"dataset":[95],"properties":[98,113],"related":[101],"common":[103],"physical":[104],"attributes.":[105],"approach":[107],"based":[109,127],"filtering":[111],"non-physical":[112],"within":[114],"and":[118,142,144],"improving":[119],"accuracy":[121],"remaining":[124],"supervised":[129],"machine":[130],"learning":[131],"using":[132],"annotated":[133],"data.":[134],"Thereby,":[135],"evaluate":[137],"different":[138],"types":[139],"features":[141],"models":[143],"significantly":[145],"increase":[146],"correctness":[148],"compared":[152],"original":[155],"sources.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}