{"id":"https://openalex.org/W2572820682","doi":"https://doi.org/10.3233/978-1-61499-720-7-258","title":"Human-Microbiome-Relations Extraction Method with Context-Dependent Clustering and Semantic Analysis","display_name":"Human-Microbiome-Relations Extraction Method with Context-Dependent Clustering and Semantic Analysis","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2572820682","doi":"https://doi.org/10.3233/978-1-61499-720-7-258","mag":"2572820682"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-720-7-258","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-720-7-258","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5053045939","display_name":"Shiori Hikichi","orcid":"https://orcid.org/0000-0003-0278-5553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hikichi Shiori","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100553987","display_name":"Shiori Sasaki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sasaki Shiori","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019351299","display_name":"Yasushi Kiyoki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiyoki Yasushi","raw_affiliation_strings":["Faculty of Environment and Information Studies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Environment and Information Studies","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4656,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59713607,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.8424999713897705,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.8424999713897705,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.663507342338562},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6079105138778687},{"id":"https://openalex.org/keywords/microbiome","display_name":"Microbiome","score":0.5269604325294495},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5235559344291687},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.519242525100708},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.42874041199684143},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4087132215499878},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22157958149909973},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2138274908065796},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.17717880010604858},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.14330849051475525},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.12522804737091064},{"id":"https://openalex.org/keywords/paleontology","display_name":"Paleontology","score":0.06663963198661804}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.663507342338562},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6079105138778687},{"id":"https://openalex.org/C143121216","wikidata":"https://www.wikidata.org/wiki/Q1330402","display_name":"Microbiome","level":2,"score":0.5269604325294495},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5235559344291687},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.519242525100708},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.42874041199684143},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4087132215499878},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22157958149909973},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2138274908065796},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.17717880010604858},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.14330849051475525},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.12522804737091064},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.06663963198661804}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-720-7-258","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-720-7-258","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2604155846","https://openalex.org/W4390658901","https://openalex.org/W3121185202","https://openalex.org/W4393043634","https://openalex.org/W4206185765","https://openalex.org/W2900546243","https://openalex.org/W3035180550","https://openalex.org/W4388834263","https://openalex.org/W3020516445"],"abstract_inverted_index":{"Human-microbiome-relations":[0],"extraction":[1,225],"is":[2,103,123,135,183],"important":[3,98],"for":[4,52,92],"analyzing":[5],"the":[6,13,67,87,106,139,210,227,232],"effects":[7],"on":[8,39,189],"human":[9,16,42,62,75,94,118,159,174],"gut":[10,27,63],"microbiome":[11],"from":[12,195],"difference":[14],"of":[15,31,100,109,141,164,192,202,212,214,236],"attributes":[17,76,160],"such":[18,60],"as":[19,61,161,178],"country,":[20],"sex,":[21],"age":[22],"and":[23,36,81,120,176,205,226,234],"so":[24],"on.":[25],"Human":[26],"microbiome,":[28,64],"a":[29,40,48,114,117,162,173,190],"set":[30,163],"bacteria,":[32],"provides":[33],"various":[34],"pathological":[35],"biological":[37],"impacts":[38],"hosting":[41],"body":[43],"system.":[44],"This":[45,84,216],"paper":[46,217],"presents":[47,219],"new":[49],"analytical":[50],"method":[51,85,102],"data":[53,143,156],"resources":[54],"that":[55,122,230],"are":[56],"difficult":[57],"to":[58,104,137,185],"understand":[59],"by":[65,125,145,158,199],"extracting":[66],"unknown":[68,107],"relations":[69,108],"with":[70,78,111],"other":[71],"adjunct":[72],"metadata":[73],"(e.g.":[74],"data)":[77],"context-dependent":[79],"clustering":[80,147,150],"semantic":[82],"analysis.":[83],"realizes":[86],"significant":[88],"bacterial":[89],"components":[90],"acquisition":[91],"categorizing":[93],"attributes.":[95],"The":[96],"most":[97],"feature":[99],"our":[101,206],"analyze":[105],"human-microbiome":[110],"or":[112],"without":[113,169],"correlation":[115],"between":[116,172],"attribute":[119,175],"bacteria":[121,142,155,177,193,197],"found":[124],"related":[126],"studies":[127],"in":[128],"bacteriology.":[129],"With":[130],"this":[131,237],"method,":[132],"an":[133,170,181,220],"analyst":[134,182],"able":[136,184],"grasp":[138],"overview":[140],"clustered":[144],"several":[146],"algorithms":[148],"(k-means":[149],"/":[151],"hierarchical":[152],"clustering)":[153],"using":[154],"selected":[157,194],"context.":[165],"In":[166],"addition,":[167],"even":[168],"association":[171],"heuristic":[179],"knowledge,":[180],"extract":[186],"human-microbiome-relations":[187,224],"focusing":[188],"number":[191],"all":[196],"combinations":[198],"one-way":[200],"analysis":[201],"variance":[203],"(ANOVA)":[204],"original":[207],"criteria":[208],"called":[209],"“degree":[211],"separation”":[213],"clustering.":[215],"also":[218],"experimental":[221,228],"study":[222],"about":[223],"results":[229],"show":[231],"feasibility":[233],"effectiveness":[235],"method.":[238]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2017-01-26T00:00:00"}