{"id":"https://openalex.org/W4317795281","doi":"https://doi.org/10.1109/access.2023.3238871","title":"Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment","display_name":"Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4317795281","doi":"https://doi.org/10.1109/access.2023.3238871"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3238871","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3238871","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10024281.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10024281.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036724034","display_name":"Shimaa Ibrahim","orcid":"https://orcid.org/0000-0002-9360-3673"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]},{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["DE","EG"],"is_corresponding":true,"raw_author_name":"Shimaa Ibrahim","raw_affiliation_strings":["Institute of Computer Science, University of Bonn, Bonn, Germany","Institute of Graduate Studies and Research, University of Alexandria, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Institute of Graduate Studies and Research, University of Alexandria, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020690863","display_name":"Said Fathalla","orcid":"https://orcid.org/0000-0002-2818-5890"},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Said Fathalla","raw_affiliation_strings":["Faculty of Science, University of Alexandria, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Alexandria, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067133778","display_name":"Jens Lehmann","orcid":"https://orcid.org/0000-0001-9108-4278"},"institutions":[{"id":"https://openalex.org/I4210155372","display_name":"Gesellschaft zur F\u00f6rderung angewandter Informatik","ror":"https://ror.org/04fwrmd76","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210155372"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Lehmann","raw_affiliation_strings":["Institute for Applied Informatics Association e.V. (InfAI), Dresden, Germany","Amazon, Dresden, Germany (work done outside of Amazon)"],"affiliations":[{"raw_affiliation_string":"Institute for Applied Informatics Association e.V. (InfAI), Dresden, Germany","institution_ids":["https://openalex.org/I4210155372"]},{"raw_affiliation_string":"Amazon, Dresden, Germany (work done outside of Amazon)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034642813","display_name":"Hajira Jabeen","orcid":"https://orcid.org/0000-0003-1476-2121"},"institutions":[{"id":"https://openalex.org/I4210101898","display_name":"GESIS - Leibniz-Institute for the Social Sciences","ror":"https://ror.org/018afyw53","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210101898"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hajira Jabeen","raw_affiliation_strings":["Big Data Analytics, KTS, GESIS-Leibniz Institute for the Social Sciences, Cologne, Germany"],"affiliations":[{"raw_affiliation_string":"Big Data Analytics, KTS, GESIS-Leibniz Institute for the Social Sciences, Cologne, Germany","institution_ids":["https://openalex.org/I4210101898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036724034"],"corresponding_institution_ids":["https://openalex.org/I135140700","https://openalex.org/I84524832"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9202,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88148219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"8581","last_page":"8599"},"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.991100013256073,"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":0.9861000180244446,"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":0.8819698095321655},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.7321951389312744},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6235671639442444},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6050613522529602},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.533921480178833},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5139002799987793},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.4626307189464569},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44935229420661926},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42514321208000183},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.42392539978027344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3641064763069153},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.3428265452384949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8819698095321655},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.7321951389312744},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6235671639442444},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6050613522529602},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.533921480178833},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5139002799987793},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4626307189464569},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44935229420661926},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42514321208000183},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.42392539978027344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3641064763069153},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.3428265452384949},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3238871","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3238871","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10024281.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:600c62cc98a242edb078070d6afd547d","is_oa":true,"landing_page_url":"https://doaj.org/article/600c62cc98a242edb078070d6afd547d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 8581-8599 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3238871","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3238871","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10024281.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4317795281.pdf","grobid_xml":"https://content.openalex.org/works/W4317795281.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W86672543","https://openalex.org/W1183653321","https://openalex.org/W1507589574","https://openalex.org/W1533198084","https://openalex.org/W1595227046","https://openalex.org/W1647671624","https://openalex.org/W1870305865","https://openalex.org/W1986745503","https://openalex.org/W2009041768","https://openalex.org/W2102628597","https://openalex.org/W2112748879","https://openalex.org/W2164508904","https://openalex.org/W2271173491","https://openalex.org/W2278027245","https://openalex.org/W2293522929","https://openalex.org/W2293545185","https://openalex.org/W2327620174","https://openalex.org/W2733601006","https://openalex.org/W2764318100","https://openalex.org/W2891796645","https://openalex.org/W2922782871","https://openalex.org/W2950595506","https://openalex.org/W2979767267","https://openalex.org/W2987056977","https://openalex.org/W2995169428","https://openalex.org/W3035854034","https://openalex.org/W3087585143","https://openalex.org/W3173403410","https://openalex.org/W3201436706","https://openalex.org/W4241410814","https://openalex.org/W4253974119","https://openalex.org/W4285414364","https://openalex.org/W4298022231","https://openalex.org/W6632095541","https://openalex.org/W6634893647","https://openalex.org/W6636915900","https://openalex.org/W6638965812","https://openalex.org/W6678224444","https://openalex.org/W6694730674","https://openalex.org/W6696854372","https://openalex.org/W6712270140","https://openalex.org/W6732711233","https://openalex.org/W6738265460","https://openalex.org/W6773338827","https://openalex.org/W6789653982","https://openalex.org/W6790438003","https://openalex.org/W6790638430","https://openalex.org/W6843512959","https://openalex.org/W6887803762","https://openalex.org/W7028803638"],"related_works":["https://openalex.org/W337103899","https://openalex.org/W2348055182","https://openalex.org/W2360108448","https://openalex.org/W1140107","https://openalex.org/W2373434917","https://openalex.org/W2293073117","https://openalex.org/W2132935926","https://openalex.org/W2162187073","https://openalex.org/W2591924737","https://openalex.org/W2725537765"],"abstract_inverted_index":{"The":[0],"amount":[1],"of":[2,83,93,106,114,136],"multilingual":[3,28,130],"data":[4],"on":[5],"the":[6,27,91,94,104,107,124,134,172,175],"Web":[7],"proliferates;":[8],"therefore,":[9],"developing":[10],"ontologies":[11,48],"in":[12,49,145],"various":[13,58,120],"natural":[14,51],"languages":[15,121],"is":[16],"attracting":[17],"considerable":[18],"attention.":[19],"In":[20],"order":[21],"to":[22,62,89,102,122,192],"achieve":[23],"semantic":[24],"interoperability":[25],"for":[26,46,75],"Web,":[29],"cross-lingual":[30],"ontology":[31],"matching":[32,47,95,195],"techniques":[33,61,118],"are":[34,87,100],"highly":[35],"required.":[36],"This":[37],"paper":[38],"proposes":[39],"a":[40,71],"Multilingual":[41],"Ontology":[42,176],"Matching":[43],"(MoMatch)":[44],"approach":[45,138],"different":[50,66,115,146],"languages.":[52],"MoMatch":[53,153,182],"uses":[54],"machine":[55],"translation":[56],"and":[57,97,139,159,189],"string":[59,116],"similarity":[60,117,127],"identify":[63],"correspondences":[64],"across":[65,119],"ontologies.":[67],"Furthermore,":[68],"we":[69,148],"propose":[70],"Quality":[72],"Assessment":[73],"Suite":[74],"Ontologies":[76],"(QASO)":[77],"that":[78],"comprises":[79],"14":[80],"metrics,":[81],"out":[82],"which":[84],"seven":[85,98],"metrics":[86,99],"used":[88,101,144],"assess":[90],"quality":[92,105],"process":[96],"evaluate":[103],"ontology.":[108],"We":[109,166],"present":[110,149],"an":[111,163],"in-depth":[112],"comparison":[113],"get":[123],"most":[125],"effective":[126],"measure(s)":[128],"between":[129],"terms.":[131],"To":[132],"illustrate":[133],"applicability":[135],"our":[137,169],"how":[140],"it":[141],"can":[142],"be":[143],"domains,":[147],"two":[150],"use":[151],"cases.":[152],"has":[154,183],"been":[155],"implemented":[156],"using":[157],"Scala":[158],"Apache":[160],"Spark":[161],"under":[162],"open-source":[164],"license.":[165],"have":[167],"compared":[168,191],"results":[170,173],"with":[171],"from":[174],"Alignment":[177],"Evaluation":[178],"Initiative":[179],"(OAEI":[180],"2020).":[181],"achieved":[184],"significantly":[185],"high":[186],"precision,":[187],"recall,":[188],"F-measure":[190],"five":[193],"state-of-the-art":[194],"approaches.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}