{"id":"https://openalex.org/W2020966539","doi":"https://doi.org/10.1177/0165551515578395","title":"The potential relationship discovery model based on result fusion for biomedical medicine research","display_name":"The potential relationship discovery model based on result fusion for biomedical medicine research","publication_year":2015,"publication_date":"2015-03-20","ids":{"openalex":"https://openalex.org/W2020966539","doi":"https://doi.org/10.1177/0165551515578395","mag":"2020966539"},"language":"en","primary_location":{"id":"doi:10.1177/0165551515578395","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551515578395","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-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/A5062830178","display_name":"Yingying She","orcid":"https://orcid.org/0000-0002-6770-4622"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingying She","raw_affiliation_strings":["Software School, Xiamen University, China","[Software School, Xiamen University, China]"],"affiliations":[{"raw_affiliation_string":"Software School, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[Software School, Xiamen University, China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670424","display_name":"Xiaoxia Zhang","orcid":"https://orcid.org/0000-0003-4832-9422"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxia Zhang","raw_affiliation_strings":["Software School, Xiamen University, China","[Software School, Xiamen University, China]"],"affiliations":[{"raw_affiliation_string":"Software School, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[Software School, Xiamen University, China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045698447","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-5615-4506"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Software School, Xiamen University, China","[Software School, Xiamen University, China]"],"affiliations":[{"raw_affiliation_string":"Software School, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[Software School, Xiamen University, China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103008255","display_name":"Qingqiang Wu","orcid":"https://orcid.org/0000-0001-7428-5908"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqiang Wu","raw_affiliation_strings":["Software School, Xiamen University, China","[Software School, Xiamen University, China]"],"affiliations":[{"raw_affiliation_string":"Software School, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[Software School, Xiamen University, China]","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062830178"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.1459,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54843894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"41","issue":"3","first_page":"366","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9927999973297119,"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/T10028","display_name":"Topic Modeling","score":0.9842000007629395,"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":0.7120470404624939},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5812835693359375},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5340484380722046},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.47884297370910645},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.4787040054798126},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.45244261622428894},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3441142737865448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34118303656578064},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33285677433013916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120470404624939},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5812835693359375},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5340484380722046},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.47884297370910645},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.4787040054798126},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.45244261622428894},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3441142737865448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34118303656578064},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33285677433013916},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551515578395","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551515578395","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321026","display_name":"Ministry of Earth Sciences","ror":"https://ror.org/013cf5k59"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W23729838","https://openalex.org/W81726410","https://openalex.org/W1521780416","https://openalex.org/W1695383821","https://openalex.org/W1845021567","https://openalex.org/W1930023685","https://openalex.org/W1997980537","https://openalex.org/W2003994472","https://openalex.org/W2033441600","https://openalex.org/W2036492207","https://openalex.org/W2037048830","https://openalex.org/W2042711932","https://openalex.org/W2048011234","https://openalex.org/W2049107599","https://openalex.org/W2056279418","https://openalex.org/W2057625601","https://openalex.org/W2069372503","https://openalex.org/W2077332795","https://openalex.org/W2097739081","https://openalex.org/W2097960255","https://openalex.org/W2105562985","https://openalex.org/W2110125406","https://openalex.org/W2111784338","https://openalex.org/W2122860032","https://openalex.org/W2135098204","https://openalex.org/W2138906045","https://openalex.org/W2141286581","https://openalex.org/W2150098611","https://openalex.org/W2151000657","https://openalex.org/W2154857181","https://openalex.org/W2165958420","https://openalex.org/W2166169000","https://openalex.org/W2166342947","https://openalex.org/W2199803028","https://openalex.org/W2252008934","https://openalex.org/W2368302517","https://openalex.org/W2937343401","https://openalex.org/W3151392175","https://openalex.org/W4214480309","https://openalex.org/W4253608092"],"related_works":["https://openalex.org/W2085599877","https://openalex.org/W2062592733","https://openalex.org/W2085627709","https://openalex.org/W2381518157","https://openalex.org/W2126703991","https://openalex.org/W2081383551","https://openalex.org/W2563754440","https://openalex.org/W2128228838","https://openalex.org/W2610897791","https://openalex.org/W4366463707"],"abstract_inverted_index":{"With":[0],"the":[1,19,33,37,76,84,137,144,147,150,175],"amount":[2,20],"of":[3,21,39,78,86,136,146,149],"biomedical":[4,22,87,106,120,131,169],"data":[5,23,40,47,52,59,156,187,195],"growing":[6,25],"explosively,":[7],"medical":[8],"scientists":[9,43,132],"use":[10],"many":[11],"datasets":[12],"in":[13,115,133],"research":[14],"for":[15,96,119,130],"new":[16],"medicine.":[17],"However,":[18],"is":[24,91,179,192,211],"too":[26],"fast":[27],"to":[28,45,56,63,92,217],"abstract":[29],"hidden":[30],"information.":[31],"At":[32],"same":[34],"time,":[35],"with":[36],"development":[38],"storage":[41],"diversification,":[42],"prefer":[44],"have":[46],"fusion":[48,157,161,188],"based":[49,104,171],"on":[50,74,105,172],"heterogeneous":[51,69],"sources":[53],"as":[54],"opposed":[55],"a":[57,94,124,168,182],"single":[58],"source,":[60],"and":[61,66,102,122,127,155,167,174,178,186,204,215,220],"ultimately":[62],"achieve":[64],"knowledge":[65],"discovery":[67],"across":[68],"databases.":[70],"Our":[71,89,159],"study":[72,135,145],"focuses":[73],"extending":[75],"application":[77],"latent":[79,107,151],"semantic":[80,108,152],"analysis":[81,153],"methodologies":[82],"into":[83],"area":[85],"research.":[88],"purpose":[90],"develop":[93],"model":[95,111,154,210],"discovering":[97],"potential":[98,199],"relationships":[99,200],"between":[100,201],"medicines":[101],"diseases":[103],"analysis.":[109],"This":[110],"could":[112,196],"be":[113,218],"used":[114],"constructing":[116],"link":[117],"maps":[118],"entities,":[121],"provide":[123],"theoretical":[125],"basis":[126],"practical":[128],"support":[129],"their":[134],"disease\u2013medicine":[138],"relationship.":[139],"In":[140],"detail,":[141],"we":[142],"discuss":[143],"integration":[148],"methodologies.":[158],"result":[160],"solution":[162],"combines":[163],"scientific":[164],"literature":[165],"repositories":[166],"database":[170],"context":[173],"ABC":[176],"model,":[177],"supervised":[180],"by":[181,213],"semi-supervised":[183],"learning":[184],"algorithm":[185],"algorithms.":[189],"The":[190,209],"expectation":[191],"that":[193],"fused":[194],"represent":[197],"multilevel":[198],"biological":[202],"entities":[203],"related":[205],"emotional":[206],"relationship":[207],"expression.":[208],"validated":[212],"experience":[214],"proven":[216],"feasible":[219],"effective.":[221]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
