{"id":"https://openalex.org/W2587817070","doi":"https://doi.org/10.1109/cisp-bmei.2016.7853049","title":"Ontology modularization method based on the K-PSO algorithm","display_name":"Ontology modularization method based on the K-PSO algorithm","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587817070","doi":"https://doi.org/10.1109/cisp-bmei.2016.7853049","mag":"2587817070"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7853049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7853049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-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/A5111605592","display_name":"Lin Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Bi","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017973600","display_name":"Xiaoqiang Di","orcid":"https://orcid.org/0000-0001-9432-4564"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-qiang Di","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114585505","display_name":"Ying Zhang","orcid":"https://orcid.org/0009-0000-0258-2014"},"institutions":[{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Information Center Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Information Center Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China","institution_ids":["https://openalex.org/I4210088164","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111605592"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11092015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"38","issue":null,"first_page":"2009","last_page":"2013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9980000257492065,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9980000257492065,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9596999883651733,"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":0.8230782747268677},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7421401739120483},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.6997599601745605},{"id":"https://openalex.org/keywords/modular-programming","display_name":"Modular programming","score":0.6314711570739746},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.5389929413795471},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5357258915901184},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.5278030633926392},{"id":"https://openalex.org/keywords/ontology-inference-layer","display_name":"Ontology Inference Layer","score":0.48933690786361694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46082603931427},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.4400824308395386},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.4333120584487915},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41729307174682617},{"id":"https://openalex.org/keywords/owl-s","display_name":"OWL-S","score":0.3108910918235779},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.22499027848243713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21405264735221863},{"id":"https://openalex.org/keywords/semantic-web-stack","display_name":"Semantic Web Stack","score":0.11024332046508789},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10073217749595642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230782747268677},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7421401739120483},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.6997599601745605},{"id":"https://openalex.org/C88482812","wikidata":"https://www.wikidata.org/wiki/Q6453666","display_name":"Modular programming","level":2,"score":0.6314711570739746},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.5389929413795471},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5357258915901184},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.5278030633926392},{"id":"https://openalex.org/C115408247","wikidata":"https://www.wikidata.org/wiki/Q3882789","display_name":"Ontology Inference Layer","level":5,"score":0.48933690786361694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46082603931427},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.4400824308395386},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.4333120584487915},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41729307174682617},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.3108910918235779},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.22499027848243713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21405264735221863},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.11024332046508789},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10073217749595642},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7853049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7853049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326270","display_name":"Education Department of Jilin Province","ror":"https://ror.org/05782e512"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W37004972","https://openalex.org/W173647602","https://openalex.org/W1484429151","https://openalex.org/W1524870477","https://openalex.org/W1555720472","https://openalex.org/W1573033505","https://openalex.org/W1576017289","https://openalex.org/W1980532076","https://openalex.org/W2032680436","https://openalex.org/W2036614464","https://openalex.org/W2137079713","https://openalex.org/W2140933517","https://openalex.org/W2163272338","https://openalex.org/W2573137292","https://openalex.org/W4238875644","https://openalex.org/W4384696433","https://openalex.org/W6683942942"],"related_works":["https://openalex.org/W2130691104","https://openalex.org/W2072752921","https://openalex.org/W2028429940","https://openalex.org/W2401469280","https://openalex.org/W2139874817","https://openalex.org/W2369088979","https://openalex.org/W1988347054","https://openalex.org/W2394747331","https://openalex.org/W184491905","https://openalex.org/W2064503500"],"abstract_inverted_index":{"In":[0,74],"this":[1,78,110,175,188],"paper,":[2],"we":[3,80],"focus":[4],"on":[5,68,87,156],"how":[6],"to":[7,15,57,76,91,170,202],"make":[8,92],"use":[9,196],"of":[10,18,26,35,38,45,51,64,102,115,127,136,148,161],"K-PSO(Particle":[11],"Swarm":[12],"Optimization)":[13],"algorithm":[14,90,201],"improve":[16],"efficiency":[17],"the":[19,42,46,49,52,58,62,82,88,100,113,123,132,144,151,166,172,184,197],"ontology":[20,30,60,69,83,94,119,128,137,149],"modularization":[21,84,106],"method.":[22],"As":[23],"a":[24,159,191],"bridge":[25],"man-machine":[27],"semantic":[28,39,53,120,134],"interaction,":[29],"has":[31],"an":[32,96],"important":[33,97],"status":[34],"logic":[36],"basis":[37],"realization":[40],"and":[41,117,130,168,180],"upper":[43],"expression":[44],"metadata":[47],"in":[48,99,109,150,174],"frame":[50],"web.":[54],"But":[55],"relative":[56],"rich":[59],"resources,":[61],"application":[63,146],"specific":[65],"network":[66,103,152],"based":[67,86,155],"auxiliary":[70],"is":[71,177],"relatively":[72],"less.":[73],"order":[75],"solve":[77,143,171],"problem,":[79],"propose":[81],"method":[85,107,140,167,189],"K-PSO":[89],"large-scale":[93,116],"play":[95],"role":[98],"organization":[101],"information.":[104],"Ontology":[105],"proposed":[108],"paper":[111,176],"converts":[112],"problem":[114,173],"intractable":[118],"extraction":[121,126],"into":[122],"internal":[124],"dynamic":[125],"modules,":[129],"realizes":[131],"optimization":[133,200],"clustering":[135,186],"modules.":[138],"This":[139],"can":[141,195],"effectively":[142],"actual":[145],"problems":[147],"information":[153],"system":[154],"semantic.":[157],"Through":[158],"number":[160],"experiments,":[162],"it":[163],"shows":[164,190],"that":[165],"framework":[169],"feasible,":[178],"versatile":[179],"expansible.":[181],"Compared":[182],"with":[183],"classical":[185],"method,":[187],"better":[192],"performance,":[193],"which":[194],"particle":[198],"swarm":[199],"realize":[203],"module":[204],"clustering.":[205]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
