{"id":"https://openalex.org/W3096712456","doi":"https://doi.org/10.3390/bdcc4040031","title":"OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology","display_name":"OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology","publication_year":2020,"publication_date":"2020-10-29","ids":{"openalex":"https://openalex.org/W3096712456","doi":"https://doi.org/10.3390/bdcc4040031","mag":"3096712456"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc4040031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc4040031","pdf_url":"https://www.mdpi.com/2504-2289/4/4/31/pdf","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/4/4/31/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087360505","display_name":"Christos Makris","orcid":"https://orcid.org/0000-0003-2571-7449"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Christos Makris","raw_affiliation_strings":["Department of Computer Engineering and Informatics, University of Patras, 26504 Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0003-2571-7449","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Informatics, University of Patras, 26504 Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026489737","display_name":"Michael Angelos Simos","orcid":"https://orcid.org/0000-0001-9012-8240"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Michael Angelos Simos","raw_affiliation_strings":["Department of Computer Engineering and Informatics, University of Patras, 26504 Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0001-9012-8240","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Informatics, University of Patras, 26504 Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026489737","https://openalex.org/A5087360505"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.6795,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77371861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":"4","first_page":"31","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9957000017166138,"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":0.8697125315666199},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.6001027822494507},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5624170899391174},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5609017014503479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5557883977890015},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4971154034137726},{"id":"https://openalex.org/keywords/conceptualization","display_name":"Conceptualization","score":0.44248098134994507},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43494078516960144},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.41747578978538513},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33297646045684814},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.23513701558113098},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.222091406583786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8697125315666199},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.6001027822494507},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5624170899391174},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5609017014503479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5557883977890015},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4971154034137726},{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.44248098134994507},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43494078516960144},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.41747578978538513},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33297646045684814},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.23513701558113098},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.222091406583786},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/bdcc4040031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc4040031","pdf_url":"https://www.mdpi.com/2504-2289/4/4/31/pdf","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9eaf1c19cf62469682e64dfec5289f22","is_oa":true,"landing_page_url":"https://doaj.org/article/9eaf1c19cf62469682e64dfec5289f22","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 4, Iss 4, p 31 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2504-2289/4/4/31/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/bdcc4040031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing; Volume 4; Issue 4; Pages: 31","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/bdcc4040031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc4040031","pdf_url":"https://www.mdpi.com/2504-2289/4/4/31/pdf","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G6870533126","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096712456.pdf","grobid_xml":"https://content.openalex.org/works/W3096712456.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W11298561","https://openalex.org/W86887328","https://openalex.org/W833140810","https://openalex.org/W1960027552","https://openalex.org/W1974877536","https://openalex.org/W1977182536","https://openalex.org/W2039438423","https://openalex.org/W2064675550","https://openalex.org/W2085337304","https://openalex.org/W2090288396","https://openalex.org/W2100341149","https://openalex.org/W2115352105","https://openalex.org/W2131357087","https://openalex.org/W2136297100","https://openalex.org/W2189465200","https://openalex.org/W2230586094","https://openalex.org/W2260776682","https://openalex.org/W2436001372","https://openalex.org/W2577770286","https://openalex.org/W2584279929","https://openalex.org/W2612773933","https://openalex.org/W2765421612","https://openalex.org/W2771873754","https://openalex.org/W2778476056","https://openalex.org/W2804784869","https://openalex.org/W2897725449","https://openalex.org/W2912993660","https://openalex.org/W2949695381","https://openalex.org/W2951525155","https://openalex.org/W2953384591","https://openalex.org/W3040646727","https://openalex.org/W3137298232","https://openalex.org/W6644484350","https://openalex.org/W6647170703","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2186562580","https://openalex.org/W3198729192","https://openalex.org/W4255258373","https://openalex.org/W3000685722","https://openalex.org/W2593907245","https://openalex.org/W2520117834","https://openalex.org/W3133906981","https://openalex.org/W3006227201","https://openalex.org/W3160627956","https://openalex.org/W3091569222"],"abstract_inverted_index":{"Semantic":[0],"representation":[1,28],"of":[2,67,79,106],"unstructured":[3,22],"text":[4,23],"is":[5,33,153],"crucial":[6],"in":[7],"modern":[8],"artificial":[9],"intelligence":[10],"and":[11,75,118,131],"information":[12,17],"retrieval":[13],"applications.":[14],"The":[15,123,140],"semantic":[16],"extraction":[18],"process":[19,126],"from":[20,29],"an":[21],"fragment":[24],"to":[25,88],"a":[26,30,44,51,68],"corresponding":[27],"concept":[31,144],"ontology":[32],"known":[34],"as":[35,151],"named":[36,82],"entity":[37,60,83,164],"disambiguation.":[38,165],"In":[39,64],"this":[40],"work,":[41],"we":[42,73],"introduce":[43,74],"distributed,":[45],"supervised":[46],"deep":[47,55],"learning":[48,56],"methodology":[49,94],"employing":[50],"long":[52],"short-term":[53],"memory-based":[54],"architecture":[57],"model":[58],"for":[59,134,148,156,163],"linking":[61],"with":[62,99],"Wikipedia.":[63],"the":[65,77,107,135],"context":[66,161],"frequently":[69],"changing":[70],"online":[71,80,136,142,159],"world,":[72],"study":[76],"domain":[78],"training":[81,137,143],"disambiguation,":[84],"featuring":[85],"on-the-fly":[86],"adaptation":[87],"underlying":[89],"knowledge":[90,109],"changes.":[91],"Our":[92],"novel":[93,141],"evaluates":[95],"polysemous":[96],"anchor":[97],"mentions":[98],"sense":[100],"compatibility":[101],"based":[102],"on":[103],"thematic":[104],"segmentation":[105],"Wikipedia":[108],"graph":[110],"representation.":[111],"We":[112],"aim":[113],"at":[114],"both":[115],"robust":[116],"performance":[117],"high":[119],"entity-linking":[120,138],"accuracy":[121],"results.":[122],"introduced":[124],"modeling":[125],"efficiently":[127],"addresses":[128],"conceptualization,":[129],"formalization,":[130],"computational":[132],"challenges":[133],"task.":[139],"can":[145],"be":[146],"exploited":[147],"wider":[149],"adoption,":[150],"it":[152],"considerably":[154],"beneficial":[155],"targeted":[157],"topic,":[158],"global":[160],"consensus":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
