{"id":"https://openalex.org/W2019414664","doi":"https://doi.org/10.4018/jdwm.2008100105","title":"A Graph-Based Biomedical Literature Clustering Approach Utilizing Term's Global and Local Importance Information","display_name":"A Graph-Based Biomedical Literature Clustering Approach Utilizing Term's Global and Local Importance Information","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2019414664","doi":"https://doi.org/10.4018/jdwm.2008100105","mag":"2019414664"},"language":"en","primary_location":{"id":"doi:10.4018/jdwm.2008100105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdwm.2008100105","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","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/A5100356745","display_name":"Xiaodan Zhang","orcid":"https://orcid.org/0000-0001-8192-0666"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodan Zhang","raw_affiliation_strings":["Drexel University, USA","#N# Drexel University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University, USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"#N# Drexel University, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569679","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0002-4777-3022"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]},{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["Drexel University, USA and Jiangxi University of Finance and Economics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University, USA and Jiangxi University of Finance and Economics, China","institution_ids":["https://openalex.org/I59649739","https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036386349","display_name":"Jiali Xia","orcid":"https://orcid.org/0009-0008-9755-0186"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiali Xia","raw_affiliation_strings":["Jiangxi University of Finance and Economics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi University of Finance and Economics, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaohua Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Zhou","raw_affiliation_strings":["Drexel University, USA","#N# Drexel University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University, USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"#N# Drexel University, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049071894","display_name":"Palakorn Achananuparp","orcid":"https://orcid.org/0000-0002-7684-1725"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Palakorn Achananuparp","raw_affiliation_strings":["Drexel University, USA","#N# Drexel University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University, USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"#N# Drexel University, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6946,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69345759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":"4","first_page":"84","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9990000128746033,"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":0.9990000128746033,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9930999875068665,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9772999882698059,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7871615886688232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488928437232971},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6793004274368286},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.6641054153442383},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5757862329483032},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.5270293354988098},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5015389919281006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39715155959129333},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3569445013999939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2365666925907135}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7871615886688232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488928437232971},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6793004274368286},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.6641054153442383},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5757862329483032},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.5270293354988098},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5015389919281006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39715155959129333},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3569445013999939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2365666925907135},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":2,"locations":[{"id":"doi:10.4018/jdwm.2008100105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdwm.2008100105","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdwm00:v:4:y:2008:i:4:p:84-101","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdwm.2008100105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308109","display_name":"Pennsylvania Department of Health","ror":"https://ror.org/00ra1fg11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W1531601525","https://openalex.org/W2019737068","https://openalex.org/W2899601636","https://openalex.org/W4254379378","https://openalex.org/W3015674157","https://openalex.org/W4206655101","https://openalex.org/W4237592971","https://openalex.org/W2387982377"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,93,112],"present":[4],"a":[5,103,143],"graph-based":[6],"knowledge":[7],"representation":[8],"for":[9,146],"biomedical":[10],"digital":[11],"library":[12],"literature":[13],"clustering.":[14],"An":[15],"efficient":[16,115],"clustering":[17,119,149],"method":[18],"is":[19,51,55,79],"developed":[20],"to":[21,58,81,99],"identify":[22],"the":[23,31,46,59,90,138,147],"ontology-enriched":[24],"k-highest":[25],"density":[26],"term":[27,48,61,104,127,140],"subgraphs":[28,128],"that":[29,76],"capture":[30],"core":[32,126],"semantic":[33],"relationship":[34],"information":[35],"about":[36],"each":[37,43],"document":[38,44,54,70,101,118,148],"cluster.":[39,62],"The":[40,63,84],"distance":[41],"between":[42],"and":[45,73,107,116,132,136],"k":[47,123],"graph":[49,97,106],"clusters":[50,141],"calculated.":[52],"A":[53],"then":[56],"assigned":[57],"closest":[60],"extensive":[64],"experimental":[65],"results":[66],"on":[67],"two":[68,95],"PubMed":[69],"sets":[71],"(Disease10":[72],"OHSUMED23)":[74],"show":[75],"our":[77,87],"approach":[78,88],"comparable":[80],"spherical":[82],"k-means.":[83],"contributions":[85],"of":[86],"are":[89],"following:":[91],"(1)":[92],"provide":[94],"corpus-level":[96],"representations":[98],"improve":[100],"clustering,":[102],"co-occurrence":[105],"an":[108,114],"abstract-title":[109],"graph;":[110],"(2)":[111],"develop":[113],"effective":[117],"algorithm":[120],"by":[121],"identifying":[122],"distinguishable":[124],"class-specific":[125],"using":[129],"terms\u2019":[130],"global":[131],"local":[133],"importance":[134],"information;":[135],"(3)":[137],"identified":[139],"give":[142],"meaningful":[144],"explanation":[145],"results.":[150]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}