{"id":"https://openalex.org/W2296147391","doi":"https://doi.org/10.5220/0005615606030611","title":"Ontology Matching using Multiple Similarity Measures","display_name":"Ontology Matching using Multiple Similarity Measures","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2296147391","doi":"https://doi.org/10.5220/0005615606030611","mag":"2296147391"},"language":"en","primary_location":{"id":"doi:10.5220/0005615606030611","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005615606030611","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005615606030611","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107862829","display_name":"Thi Thuy Anh Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Thi Thuy Anh Nguyen","raw_affiliation_strings":["Heinrich-Heine University D\u00fcsseldorf, Germany"],"affiliations":[{"raw_affiliation_string":"Heinrich-Heine University D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037038868","display_name":"Stefan Conrad","orcid":"https://orcid.org/0000-0003-2788-3854"},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Conrad","raw_affiliation_strings":["Heinrich-Heine University D\u00fcsseldorf, Germany"],"affiliations":[{"raw_affiliation_string":"Heinrich-Heine University D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107862829"],"corresponding_institution_ids":["https://openalex.org/I44260953"],"apc_list":null,"apc_paid":null,"fwci":2.5887,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91882486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"603","last_page":"611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983999729156494,"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/wordnet","display_name":"WordNet","score":0.874001145362854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8084940314292908},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7367767691612244},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.7331207990646362},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6530880331993103},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5487636923789978},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5473891496658325},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5383116006851196},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5211434364318848},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5165364146232605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47277215123176575},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4373820424079895},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.32936349511146545},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.22048521041870117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17644336819648743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11657655239105225}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.874001145362854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084940314292908},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7367767691612244},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.7331207990646362},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6530880331993103},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5487636923789978},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5473891496658325},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5383116006851196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5211434364318848},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5165364146232605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47277215123176575},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4373820424079895},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.32936349511146545},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.22048521041870117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17644336819648743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11657655239105225},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005615606030611","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005615606030611","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005615606030611","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005615606030611","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W99897602","https://openalex.org/W161226219","https://openalex.org/W1590030008","https://openalex.org/W1600475986","https://openalex.org/W1639126800","https://openalex.org/W1642866372","https://openalex.org/W1697346520","https://openalex.org/W1781737156","https://openalex.org/W1982801501","https://openalex.org/W1989000808","https://openalex.org/W2034538411","https://openalex.org/W2039386673","https://openalex.org/W2047029075","https://openalex.org/W2063047597","https://openalex.org/W2070327800","https://openalex.org/W2110686900","https://openalex.org/W2120718782","https://openalex.org/W2122115411","https://openalex.org/W2139135093","https://openalex.org/W2142963442","https://openalex.org/W2148572968","https://openalex.org/W2158275940","https://openalex.org/W2243076400","https://openalex.org/W2334038660","https://openalex.org/W2611894836","https://openalex.org/W2915648365","https://openalex.org/W2916161265","https://openalex.org/W2916837064","https://openalex.org/W3113485264","https://openalex.org/W3215490310"],"related_works":["https://openalex.org/W2391790737","https://openalex.org/W2793451634","https://openalex.org/W2114374173","https://openalex.org/W22148886","https://openalex.org/W149627178","https://openalex.org/W1492040618","https://openalex.org/W1794266373","https://openalex.org/W1830516355","https://openalex.org/W152870918","https://openalex.org/W4206428734"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"automatic":[4,147],"ontology":[5,148],"matching":[6,149],"approach":[7,139],"(called":[8],"LSSOM":[9],"-":[10],"Lexical":[11],"Structural":[12],"Semantic-based":[13],"Ontology":[14],"Matching":[15],"method)":[16],"which":[17,151],"brings":[18],"a":[19],"final":[20,118],"alignment":[21],"by":[22,64,110],"combining":[23],"three":[24],"kinds":[25],"of":[26,49],"different":[27],"similarity":[28,70,82],"measures:":[29],"lexical-based,":[30],"structure-based,":[31],"and":[32,47,54,68,98,124,144],"semantic-based":[33],"techniques":[34],"as":[35,37],"well":[36],"using":[38,65,111],"information":[39],"in":[40,51,92,106],"ontologies":[41,60],"including":[42],"names,":[43],"labels,":[44],"comments,":[45],"relations":[46],"positions":[48],"concepts":[50,91],"the":[52,66,77,80,96,107,117,128],"hierarchy":[53],"integrating":[55],"WordNet":[56,85],"dictionary.":[57],"Firstly,":[58],"two":[59],"are":[61,101,104],"matched":[62],"sequentially":[63],"lexical-based":[67],"structure-based":[69],"measures":[71],"to":[72,89,115],"find":[73],"structural":[74,99],"correspondences":[75],"among":[76],"concepts.":[78],"Secondly,":[79],"semantic":[81,97],"based":[83,126],"on":[84,127],"dictionary":[86],"is":[87,122],"applied":[88],"these":[90],"given":[93],"ontologies.":[94],"After":[95],"similarities":[100],"obtained,":[102],"they":[103],"combined":[105],"parallel":[108],"phase":[109],"weighted":[112],"sum":[113],"method":[114],"yield":[116],"similarities.":[119],"Our":[120],"system":[121],"implemented":[123],"evaluated":[125],"OAEI":[129],"2008":[130],"benchmark":[131],"dataset.":[132],"The":[133],"experimental":[134],"results":[135],"show":[136],"that":[137],"our":[138],"obtains":[140],"good":[141],"F-measure":[142],"values":[143],"outperforms":[145],"other":[146],"systems":[150],"do":[152],"not":[153],"use":[154],"instances":[155],"information.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}