{"id":"https://openalex.org/W2040629267","doi":"https://doi.org/10.1007/s13740-014-0041-9","title":"Ontology Integration for Linked Data","display_name":"Ontology Integration for Linked Data","publication_year":2014,"publication_date":"2014-05-24","ids":{"openalex":"https://openalex.org/W2040629267","doi":"https://doi.org/10.1007/s13740-014-0041-9","mag":"2040629267"},"language":"en","primary_location":{"id":"doi:10.1007/s13740-014-0041-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13740-014-0041-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13740-014-0041-9.pdf","source":{"id":"https://openalex.org/S169174478","display_name":"Journal on Data Semantics","issn_l":"1861-2032","issn":["1861-2032","1861-2040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Data Semantics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13740-014-0041-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029380267","display_name":"Lihua Zhao","orcid":"https://orcid.org/0000-0002-9479-4934"},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Lihua Zhao","raw_affiliation_strings":["Computational Intelligence Laboratory, Toyota Technological Institute, Nagoya, Japan","[Computational Intelligence Laboratory, Toyota Technological Institute, Nagoya, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Laboratory, Toyota Technological Institute, Nagoya, Japan","institution_ids":["https://openalex.org/I4840577"]},{"raw_affiliation_string":"[Computational Intelligence Laboratory, Toyota Technological Institute, Nagoya, Japan]","institution_ids":["https://openalex.org/I4840577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081854769","display_name":"Ryutaro Ichise","orcid":"https://orcid.org/0000-0001-8474-0150"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryutaro Ichise","raw_affiliation_strings":["National Institute of Informatics, The Graduate University for Advanced Studies, Tokyo, Japan","[National Institute of Informatics, (The Graduate University for Advanced Studies), Tokyo, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, The Graduate University for Advanced Studies, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"[National Institute of Informatics, (The Graduate University for Advanced Studies), Tokyo, Japan]","institution_ids":["https://openalex.org/I200475212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029380267"],"corresponding_institution_ids":["https://openalex.org/I4840577"],"apc_list":{"value":2780,"currency":"USD","value_usd":2780},"apc_paid":{"value":2780,"currency":"USD","value_usd":2780},"fwci":6.8373,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.96542548,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"4","first_page":"237","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9943000078201294,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8647899031639099},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.8027489185333252},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.76999831199646},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.7371441125869751},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.5966082811355591},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.589638352394104},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5762348175048828},{"id":"https://openalex.org/keywords/open-biomedical-ontologies","display_name":"Open Biomedical Ontologies","score":0.5582051873207092},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5266038179397583},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.5234934091567993},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.5130637884140015},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5085748434066772},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.4962463974952698},{"id":"https://openalex.org/keywords/ontology-components","display_name":"Ontology components","score":0.4529215395450592},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.43756744265556335},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4295969307422638},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31279581785202026},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.29902663826942444},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.2746334373950958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16554173827171326},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16446363925933838},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07927045226097107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8647899031639099},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8027489185333252},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.76999831199646},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.7371441125869751},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.5966082811355591},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.589638352394104},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5762348175048828},{"id":"https://openalex.org/C137982476","wikidata":"https://www.wikidata.org/wiki/Q7072326","display_name":"Open Biomedical Ontologies","level":5,"score":0.5582051873207092},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5266038179397583},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.5234934091567993},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.5130637884140015},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5085748434066772},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.4962463974952698},{"id":"https://openalex.org/C154210476","wikidata":"https://www.wikidata.org/wiki/Q7095057","display_name":"Ontology components","level":5,"score":0.4529215395450592},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.43756744265556335},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4295969307422638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31279581785202026},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.29902663826942444},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.2746334373950958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16554173827171326},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16446363925933838},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07927045226097107},{"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:10.1007/s13740-014-0041-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13740-014-0041-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13740-014-0041-9.pdf","source":{"id":"https://openalex.org/S169174478","display_name":"Journal on Data Semantics","issn_l":"1861-2032","issn":["1861-2032","1861-2040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Data Semantics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s13740-014-0041-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13740-014-0041-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13740-014-0041-9.pdf","source":{"id":"https://openalex.org/S169174478","display_name":"Journal on Data Semantics","issn_l":"1861-2032","issn":["1861-2032","1861-2040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Data Semantics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5199999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2040629267.pdf","grobid_xml":"https://content.openalex.org/works/W2040629267.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W14333781","https://openalex.org/W27703676","https://openalex.org/W193748482","https://openalex.org/W614829582","https://openalex.org/W1482102309","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1514849215","https://openalex.org/W1532325895","https://openalex.org/W1555805532","https://openalex.org/W1577783107","https://openalex.org/W1583837637","https://openalex.org/W1630964756","https://openalex.org/W1647729745","https://openalex.org/W1732173711","https://openalex.org/W1805140197","https://openalex.org/W1973169675","https://openalex.org/W1993977866","https://openalex.org/W2005049675","https://openalex.org/W2013093146","https://openalex.org/W2015191210","https://openalex.org/W2042714289","https://openalex.org/W2070327800","https://openalex.org/W2100935296","https://openalex.org/W2104071946","https://openalex.org/W2114538147","https://openalex.org/W2117078075","https://openalex.org/W2117805756","https://openalex.org/W2119710029","https://openalex.org/W2127128140","https://openalex.org/W2136480620","https://openalex.org/W2140887277","https://openalex.org/W2152441241","https://openalex.org/W2159675211","https://openalex.org/W2167411502","https://openalex.org/W2236636936","https://openalex.org/W2531563875","https://openalex.org/W2611894836","https://openalex.org/W2613678836","https://openalex.org/W4213009331","https://openalex.org/W4300012252"],"related_works":["https://openalex.org/W1506177826","https://openalex.org/W2732632690","https://openalex.org/W4206428734","https://openalex.org/W2102229151","https://openalex.org/W1794266373","https://openalex.org/W2012420033","https://openalex.org/W2365397974","https://openalex.org/W147727067","https://openalex.org/W2138664789","https://openalex.org/W2402662865"],"abstract_inverted_index":{"The":[0,90],"Linked":[1],"Open":[2],"Data":[3],"cloud":[4],"contains":[5],"tremendous":[6],"amounts":[7],"of":[8,45,78,93,118],"interlinked":[9],"instances":[10,44,117],"with":[11],"abundant":[12],"knowledge":[13,136],"for":[14,42,70,87,102],"retrieval.":[15],"However,":[16],"because":[17],"the":[18,30,39,68,76,79,104,116],"ontologies":[19,31,80],"are":[20],"large":[21],"and":[22,33,81,108,110,133],"heterogeneous,":[23],"it":[24,34],"is":[25,35,130],"time-consuming":[26],"to":[27,37,56],"learn":[28,38],"all":[29],"manually":[32],"difficult":[36],"properties":[40,86],"important":[41],"describing":[43],"a":[46,64,125],"specific":[47],"class.":[48,89],"To":[49],"construct":[50],"an":[51],"ontology":[52,98,106,112],"that":[53,73],"helps":[54],"users":[55],"easily":[57,131],"access":[58],"various":[59,139],"data":[60,120,140],"sets,":[61,121],"we":[62],"propose":[63],"semi-automatic":[65],"system,":[66],"called":[67],"Framework":[69],"InTegrating":[71],"Ontologies,":[72],"can":[74],"reduce":[75],"heterogeneity":[77],"retrieve":[82],"frequently":[83],"used":[84],"core":[85,105],"each":[88],"framework":[91,123],"consists":[92],"three":[94],"main":[95],"components:":[96],"graph-based":[97],"integration,":[99],"machine-learning-based":[100],"approach":[101],"finding":[103],"classes":[107],"properties,":[109],"integrated":[111,127],"constructor.":[113],"By":[114],"analyzing":[115],"linked":[119],"this":[122],"constructs":[124],"high-quality":[126],"ontology,":[128],"which":[129],"understandable":[132],"effective":[134],"in":[135],"acquisition":[137],"from":[138],"sets":[141],"using":[142],"simple":[143],"SPARQL":[144],"queries.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}