{"id":"https://openalex.org/W4389252632","doi":"https://doi.org/10.1109/jbhi.2023.3338356","title":"KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health","display_name":"KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389252632","doi":"https://doi.org/10.1109/jbhi.2023.3338356","pmid":"https://pubmed.ncbi.nlm.nih.gov/38039180"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3338356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3338356","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.vu.nl/en/publications/2fe38edd-9908-4b1a-903e-b865a23df69d","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Chengcheng Fu","orcid":"https://orcid.org/0000-0003-2601-0939"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcheng Fu","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2601-0939","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064075217","display_name":"Xueli Pan","orcid":"https://orcid.org/0000-0002-3736-7047"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Xueli Pan","raw_affiliation_strings":["Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-3736-7047","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]},{"raw_affiliation_string":"Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034014879","display_name":"Jieyu Wu","orcid":"https://orcid.org/0000-0003-3638-9313"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieyu Wu","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junkai Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkai Cai","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101447313","display_name":"Zhisheng Huang","orcid":"https://orcid.org/0000-0003-3794-9829"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Zhisheng Huang","raw_affiliation_strings":["Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]},{"raw_affiliation_string":"Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029130731","display_name":"Frank van Harmelen","orcid":"https://orcid.org/0000-0002-7913-0048"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Frank van Harmelen","raw_affiliation_strings":["Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-7913-0048","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]},{"raw_affiliation_string":"Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079405950","display_name":"Weizhong Zhao","orcid":"https://orcid.org/0000-0001-8552-6084"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhong Zhao","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8552-6084","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xingpeng Jiang","orcid":"https://orcid.org/0000-0002-8848-9300"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingpeng Jiang","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8848-9300","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102010131","display_name":"Tingting He","orcid":"https://orcid.org/0000-0001-7523-6550"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting He","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7523-6550","affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6003,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86351508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"3","first_page":"1793","last_page":"1804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9840999841690063,"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":0.9840999841690063,"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/interpretability","display_name":"Interpretability","score":0.8905858397483826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760455369949341},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5533921718597412},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4969492256641388},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4882500469684601},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.45644551515579224},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4532727301120758},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4464518129825592},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4371393918991089},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4325408637523651},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40300434827804565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3715594410896301},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.330480694770813},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1674533188343048}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8905858397483826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760455369949341},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5533921718597412},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4969492256641388},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4882500469684601},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.45644551515579224},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4532727301120758},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4464518129825592},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4371393918991089},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4325408637523651},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40300434827804565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3715594410896301},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.330480694770813},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1674533188343048},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004032","descriptor_name":"Diet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004032","descriptor_name":"Diet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004032","descriptor_name":"Diet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004032","descriptor_name":"Diet","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004032","descriptor_name":"Diet","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004032","descriptor_name":"Diet","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2023.3338356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3338356","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38039180","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38039180","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:research.vu.nl:openaire/2fe38edd-9908-4b1a-903e-b865a23df69d","is_oa":true,"landing_page_url":"https://research.vu.nl/en/publications/2fe38edd-9908-4b1a-903e-b865a23df69d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fu, C, Pan, X, Wu, J, Cai, J, Huang, Z, van Harmelen, F, Zhao, W, Jiang, X & He, T 2025, 'KG4NH : A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health', IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 3, pp. 1793-1804. https://doi.org/10.1109/JBHI.2023.3338356","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:research.vu.nl:openaire_cris_publications/2fe38edd-9908-4b1a-903e-b865a23df69d","is_oa":true,"landing_page_url":"https://hdl.handle.net/1871.1/2fe38edd-9908-4b1a-903e-b865a23df69d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"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":"Fu, C, Pan, X, Wu, J, Cai, J, Huang, Z, van Harmelen, F, Zhao, W, Jiang, X & He, T 2025, 'KG4NH : A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health', IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 3, pp. 1793-1804. https://doi.org/10.1109/JBHI.2023.3338356","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:research.vu.nl:openaire/2fe38edd-9908-4b1a-903e-b865a23df69d","is_oa":true,"landing_page_url":"https://research.vu.nl/en/publications/2fe38edd-9908-4b1a-903e-b865a23df69d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fu, C, Pan, X, Wu, J, Cai, J, Huang, Z, van Harmelen, F, Zhao, W, Jiang, X & He, T 2025, 'KG4NH : A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health', IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 3, pp. 1793-1804. https://doi.org/10.1109/JBHI.2023.3338356","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G1307575636","display_name":"\u9762\u5411\u8111\u75be\u75c5\u7684\u4eba\u4f53\u80a0\u9053\u5fae\u751f\u7269\u7ec4\u5b66\u6570\u636e\u6316\u6398\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61932008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G235156935","display_name":null,"funder_award_id":"62372205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1489285575","https://openalex.org/W1584308190","https://openalex.org/W1918244654","https://openalex.org/W2033829415","https://openalex.org/W2103912979","https://openalex.org/W2123442489","https://openalex.org/W2155748247","https://openalex.org/W2320941105","https://openalex.org/W2528680627","https://openalex.org/W2626407095","https://openalex.org/W2901483379","https://openalex.org/W2903298154","https://openalex.org/W2911489562","https://openalex.org/W2945002872","https://openalex.org/W2948946740","https://openalex.org/W2971258845","https://openalex.org/W2972021296","https://openalex.org/W2980563481","https://openalex.org/W2987653794","https://openalex.org/W2992556107","https://openalex.org/W2998386822","https://openalex.org/W3003315801","https://openalex.org/W3006083204","https://openalex.org/W3009443760","https://openalex.org/W3010839969","https://openalex.org/W3033896008","https://openalex.org/W3035964613","https://openalex.org/W3088426205","https://openalex.org/W3096828292","https://openalex.org/W3096841817","https://openalex.org/W3109097500","https://openalex.org/W3116099552","https://openalex.org/W3116705075","https://openalex.org/W3120284519","https://openalex.org/W3151963551","https://openalex.org/W3166981553","https://openalex.org/W3168771278","https://openalex.org/W3181518724","https://openalex.org/W3205570019","https://openalex.org/W4200059582","https://openalex.org/W4207036985","https://openalex.org/W4210493972","https://openalex.org/W4221153690","https://openalex.org/W4280630420","https://openalex.org/W4284689799","https://openalex.org/W4312094035","https://openalex.org/W4312568910","https://openalex.org/W4379278559","https://openalex.org/W6605449825","https://openalex.org/W6682780409","https://openalex.org/W6713634263","https://openalex.org/W6803039540","https://openalex.org/W6850050706"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4292070284","https://openalex.org/W4319071221","https://openalex.org/W2948022516","https://openalex.org/W4313174091","https://openalex.org/W4313219769"],"abstract_inverted_index":{"It":[0],"is":[1,7,51],"commonly":[2],"known":[3],"that":[4,85],"food":[5,17],"nutrition":[6,60,110],"closely":[8],"related":[9],"to":[10,53,147],"human":[11,62],"health.":[12,63],"The":[13,82],"complex":[14],"interactions":[15],"between":[16],"nutrients":[18],"and":[19,30,61,102,111,126,165,186],"diseases,":[20],"influenced":[21],"by":[22,162],"gut":[23],"microbial":[24],"metabolism,":[25],"present":[26],"challenges":[27],"in":[28,108,138,155,178,189],"systematizing":[29],"practically":[31],"applying":[32],"knowledge.":[33],"To":[34],"address":[35],"this,":[36],"we":[37,65,142],"propose":[38],"a":[39,45,55,67,94,98],"method":[40],"for":[41],"extracting":[42],"triples":[43],"from":[44],"vast":[46],"amount":[47],"of":[48,80,96,100,106,124,130,151,171],"literature,":[49],"which":[50],"used":[52],"construct":[54],"comprehensive":[56],"knowledge":[57,74,157,173],"graph":[58,174],"on":[59,132],"Concurrently,":[64],"develop":[66],"query-based":[68],"question":[69,118],"answering":[70,119],"system":[71,120],"over":[72],"our":[73,86,117,133,172],"graph,":[75,158],"proficiently":[76],"addressing":[77],"three":[78],"types":[79],"questions.":[81],"results":[83,160],"show":[84],"proposed":[87],"model":[88],"outperforms":[89],"other":[90],"state-of-art":[91],"methods,":[92],"achieving":[93],"precision":[95],"0.92,":[97],"recall":[99],"0.81,":[101],"an":[103,122,127],"F1":[104,128],"score":[105,129],"0.86":[107],"the":[109,149,152,156,169],"disease":[112],"relation":[113],"extraction":[114],"task.":[115],"Meanwhile,":[116],"achieves":[121],"accuracy":[123,164],"0.68":[125],"0.61":[131],"benchmark":[134],"dataset,":[135],"showcasing":[136],"competitiveness":[137],"practical":[139],"scenarios.":[140],"Furthermore,":[141],"design":[143],"five":[144],"independent":[145],"experiments":[146],"assess":[148],"quality":[150],"data":[153],"structure":[154],"ensuring":[159],"characterized":[161],"high":[163],"interpretability.":[166],"In":[167],"conclusion,":[168],"construction":[170],"shows":[175],"significant":[176],"promise":[177],"facilitating":[179],"diet":[180],"recommendations,":[181],"enhancing":[182],"patient":[183],"care":[184],"applications,":[185],"informing":[187],"decision-making":[188],"clinical":[190],"research.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}