{"id":"https://openalex.org/W4214777834","doi":"https://doi.org/10.1109/imcom53663.2022.9721780","title":"Significance of Syntactic Type Identification in Embedding Vector based Schema Matching","display_name":"Significance of Syntactic Type Identification in Embedding Vector based Schema Matching","publication_year":2022,"publication_date":"2022-01-03","ids":{"openalex":"https://openalex.org/W4214777834","doi":"https://doi.org/10.1109/imcom53663.2022.9721780"},"language":"en","primary_location":{"id":"doi:10.1109/imcom53663.2022.9721780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom53663.2022.9721780","pdf_url":null,"source":{"id":"https://openalex.org/S4363608555","display_name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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/A5074874309","display_name":"Fahad Ahmed Satti","orcid":"https://orcid.org/0000-0002-9883-3355"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]},{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR","PK"],"is_corresponding":true,"raw_author_name":"Fahad Ahmed Satti","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea","School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064164157","display_name":"Musarrat Hussain","orcid":"https://orcid.org/0000-0003-4494-1593"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Musarrat Hussain","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101882040","display_name":"Sungyoung Lee","orcid":"https://orcid.org/0000-0002-5962-1587"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungyoung Lee","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112330829","display_name":"TaeChoong Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"TaeChoong Chung","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,South Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074874309"],"corresponding_institution_ids":["https://openalex.org/I35928602","https://openalex.org/I929597975"],"apc_list":null,"apc_paid":null,"fwci":0.1041,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22792652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9984999895095825,"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/schema-matching","display_name":"Schema matching","score":0.7707548141479492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7633330821990967},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6063518524169922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5839206576347351},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5147840976715088},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.44772109389305115},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.42038533091545105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3486442565917969},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3008250296115875},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.2959972321987152}],"concepts":[{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.7707548141479492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633330821990967},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6063518524169922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5839206576347351},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5147840976715088},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.44772109389305115},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.42038533091545105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3486442565917969},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3008250296115875},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2959972321987152},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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":1,"locations":[{"id":"doi:10.1109/imcom53663.2022.9721780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom53663.2022.9721780","pdf_url":null,"source":{"id":"https://openalex.org/S4363608555","display_name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W111228517","https://openalex.org/W1993451156","https://openalex.org/W2080822585","https://openalex.org/W2092180426","https://openalex.org/W2613231044","https://openalex.org/W2754780627","https://openalex.org/W2766698234","https://openalex.org/W2888634710","https://openalex.org/W2951621897","https://openalex.org/W2970641574","https://openalex.org/W2999309192","https://openalex.org/W3023459626","https://openalex.org/W3103842844","https://openalex.org/W3104033643","https://openalex.org/W3148091059","https://openalex.org/W3188425338","https://openalex.org/W3204075933","https://openalex.org/W4294214983","https://openalex.org/W4297801906","https://openalex.org/W6737675297","https://openalex.org/W6777221277"],"related_works":["https://openalex.org/W2471940468","https://openalex.org/W4226075635","https://openalex.org/W2081900870","https://openalex.org/W3130973930","https://openalex.org/W2047599596","https://openalex.org/W1528218860","https://openalex.org/W2406112091","https://openalex.org/W2125859764","https://openalex.org/W2029826694","https://openalex.org/W2159303222"],"abstract_inverted_index":{"Data":[0],"Interoperability":[1],"provides":[2],"a":[3,76],"bridge":[4],"between":[5,42,88],"information":[6],"systems":[7],"to":[8,17,38,63,121],"store,":[9],"exchange":[10],"and":[11,35,60,91],"consume":[12],"heterogeneous":[13],"data.":[14],"In":[15],"order":[16],"achieve":[18],"this":[19,68],"goal,":[20],"schema":[21],"maps":[22],"provide":[23],"the":[24,40,45,54,72,84,89],"necessary":[25],"foundations.":[26],"Traditional":[27],"solutions":[28],"rely":[29],"on":[30,106],"expert":[31],"generated":[32],"rules,":[33],"ontologies,":[34],"syntactic":[36,78,117],"matching":[37],"identify":[39],"similarity":[41,79,118],"attributes":[43],"in":[44,67,95,119],"various":[46],"data":[47],"schema.":[48],"While":[49],"previously":[50],"we":[51,70],"have":[52,82],"presented":[53],"effectiveness":[55],"of":[56,75,86,97,114],"transformer":[57],"based":[58],"models":[59],"unsupervised":[61],"learning":[62],"calculate":[64],"attribute":[65],"similarities,":[66],"paper":[69],"present":[71],"additional":[73],"application":[74],"naive":[77,116],"measurement":[80],"We":[81],"evaluated":[83],"results":[85,103],"agreement":[87],"computed":[90],"human":[92],"annotated":[93],"results,":[94],"terms":[96],"Mathews":[98],"Correlation":[99],"Coefficient":[100],"(MCC).":[101],"These":[102],"indicate":[104],"that":[105],"weighted":[107],"comparison":[108],"there":[109],"is":[110],"no":[111],"positive":[112],"effect":[113],"including":[115],"addition":[120],"semantic":[122],"similarity.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
