{"id":"https://openalex.org/W3139166081","doi":"https://doi.org/10.1109/bigdata50022.2020.9378159","title":"Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data","display_name":"Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3139166081","doi":"https://doi.org/10.1109/bigdata50022.2020.9378159","mag":"3139166081"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/BigData50022.2020.9378159","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005841907","display_name":"Gordana Ispirova","orcid":"https://orcid.org/0000-0001-8558-6909"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Gordana Ispirova","raw_affiliation_strings":["Jo\u017eef Stefan Institute,Computer Systems Department,Ljubljana,Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute,Computer Systems Department,Ljubljana,Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082115266","display_name":"Tome Eftimov","orcid":"https://orcid.org/0000-0001-7330-1902"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Tome Eftimov","raw_affiliation_strings":["Jo\u017eef Stefan Institute,Computer Systems Department,Ljubljana,Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute,Computer Systems Department,Ljubljana,Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076065873","display_name":"Barbara Korou\u0161i\u0107 Seljak","orcid":"https://orcid.org/0000-0001-7597-2590"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Barbara Korousic Seljak","raw_affiliation_strings":["Jo\u017eef Stefan Institute,Computer Systems,Ljubljana,Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute,Computer Systems,Ljubljana,Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3006985408"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"304","issue":null,"first_page":"3563","last_page":"3572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9961000084877014,"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":0.9961000084877014,"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":0.9937999844551086,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9868999719619751,"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":0.6538488268852234},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6128265857696533},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5243851542472839},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.46934330463409424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28357404470443726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08039331436157227},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07669922709465027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538488268852234},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6128265857696533},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5243851542472839},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.46934330463409424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28357404470443726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08039331436157227},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07669922709465027},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:6957226","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BigData50022.2020.9378159","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,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:6957226","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BigData50022.2020.9378159","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,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5199999809265137,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W21006490","https://openalex.org/W22861983","https://openalex.org/W1423339008","https://openalex.org/W1568823331","https://openalex.org/W1601556566","https://openalex.org/W1614298861","https://openalex.org/W1662133657","https://openalex.org/W1916038286","https://openalex.org/W1967702193","https://openalex.org/W1987680958","https://openalex.org/W1987971958","https://openalex.org/W2087082746","https://openalex.org/W2101234009","https://openalex.org/W2131744502","https://openalex.org/W2137903965","https://openalex.org/W2141599568","https://openalex.org/W2163922914","https://openalex.org/W2250539671","https://openalex.org/W2596242378","https://openalex.org/W2618498494","https://openalex.org/W2761189739","https://openalex.org/W2801756753","https://openalex.org/W2896457183","https://openalex.org/W2906920259","https://openalex.org/W2950577311","https://openalex.org/W2960416371","https://openalex.org/W2962769333","https://openalex.org/W2962936818","https://openalex.org/W2963341956","https://openalex.org/W3005797892","https://openalex.org/W3008026362","https://openalex.org/W3093106447","https://openalex.org/W3093234244","https://openalex.org/W4294170691","https://openalex.org/W6600827882","https://openalex.org/W6600949241","https://openalex.org/W6628124331","https://openalex.org/W6636510571","https://openalex.org/W6675354045","https://openalex.org/W6679775712","https://openalex.org/W6680890276","https://openalex.org/W6682691769","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W1583422155","https://openalex.org/W1649619740","https://openalex.org/W3213252596","https://openalex.org/W1534006406"],"abstract_inverted_index":{"Human":[0],"understanding":[1],"and":[2,6,11,32,63,93,135,141,158,196],"knowledge":[3,29,118,153,178,226],"about":[4,46],"food":[5,31,47,92],"nutrition":[7,94],"is":[8,23,48,52,228],"constantly":[9],"evolving,":[10],"has":[12],"significantly":[13],"improved":[14],"recently,":[15],"one":[16],"of":[17,27,41,66,69,83,113,129,168,175,184,192,233],"the":[18,42,81,91,120,148,156,165,169,173,176,186,193,198,204,209,213,231],"main":[19],"contributor":[20],"to":[21,37],"this":[22,77,220],"data.":[24],"The":[25,217],"possibilities":[26],"gaining":[28],"from":[30,58,109,203,219],"nutrition-related":[33],"data":[34,131],"are":[35,123],"yet":[36],"be":[38],"explored.":[39],"One":[40],"most":[43],"important":[44],"information":[45],"nutrient":[49,103,136,166,235],"content,":[50],"which":[51],"very":[53],"relevant":[54],"for":[55,71,101,147,154,163,230],"patients":[56],"suffering":[57],"various":[59],"diseases,":[60],"professional":[61],"athletes,":[62],"slowly":[64],"part":[65],"everyday":[67],"life":[68],"many":[70],"health":[72],"or":[73],"fitness":[74],"goals.":[75],"In":[76],"paper,":[78],"we":[79,115,138,211],"explore":[80,172],"effect":[82],"domain":[84,117,152,177,225],"bias":[85],"in":[86,90],"a":[87,97,126],"predictive":[88],"study":[89,221],"domain.":[95],"Having":[96],"machine":[98,160],"learning":[99,161],"pipeline":[100],"predicting":[102,164,234],"values":[104,137],"with":[105],"learned":[106],"vector":[107],"representations":[108,146],"short":[110,133],"text":[111],"description":[112,134],"recipes,":[114],"introduce":[116,139,151],"before":[119],"prediction":[121],"algorithms":[122,162],"applied.":[124],"On":[125],"large":[127],"corpus":[128],"recipe":[130],"containing":[132],"word":[140],"paragraph":[142],"embeddings,":[143],"learn":[144],"concept":[145],"textual":[149],"descriptions,":[150],"clustering":[155,185],"data,":[157],"apply":[159],"content":[167],"recipes.":[170],"We":[171],"impact":[174],"by":[179],"introducing":[180],"two":[181,214],"different":[182,215],"criteria":[183],"dataset":[187],"-":[188],"using":[189,197],"graph":[190],"embedding":[191],"FoodEx2":[194],"codes,":[195],"traffic":[199],"light":[200],"labelling":[201],"system":[202],"Food":[205],"Standards":[206],"Agency;":[207],"at":[208],"end":[210],"compare":[212],"criteria.":[216],"results":[218],"imply":[222],"that":[223],"inferring":[224],"beforehand":[227],"crucial":[229],"task":[232],"content.":[236]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}