{"id":"https://openalex.org/W2779326814","doi":"https://doi.org/10.1145/3148011.3148021","title":"Multi-lingual Concept Extraction with Linked Data and Human-in-the-Loop","display_name":"Multi-lingual Concept Extraction with Linked Data and Human-in-the-Loop","publication_year":2017,"publication_date":"2017-12-04","ids":{"openalex":"https://openalex.org/W2779326814","doi":"https://doi.org/10.1145/3148011.3148021","mag":"2779326814"},"language":"en","primary_location":{"id":"doi:10.1145/3148011.3148021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148011.3148021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Knowledge Capture Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040505319","display_name":"Alfredo Alba","orcid":"https://orcid.org/0009-0002-7624-1364"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfredo Alba","raw_affiliation_strings":["IBM Research Almaden, CA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, CA, US","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044717421","display_name":"Anni Coden","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anni Coden","raw_affiliation_strings":["IBM Watson Research Lab, NY, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Watson Research Lab, NY, US","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045091443","display_name":"Anna Lisa Gentile","orcid":"https://orcid.org/0000-0002-6401-4175"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Lisa Gentile","raw_affiliation_strings":["IBM Research Almaden, CA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, CA, US","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006397816","display_name":"Daniel Gruhl","orcid":"https://orcid.org/0009-0006-9124-6752"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Gruhl","raw_affiliation_strings":["IBM Research Almaden, CA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, CA, US","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045816451","display_name":"Petar Ristoski","orcid":"https://orcid.org/0000-0002-1890-1507"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petar Ristoski","raw_affiliation_strings":["IBM Research Almaden, CA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, CA, US","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108491986","display_name":"Steve Welch","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Welch","raw_affiliation_strings":["IBM Research Almaden, CA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, CA, US","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6611,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88972651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9973999857902527,"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":0.9973999857902527,"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":0.9965999722480774,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9936000108718872,"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":0.8616195917129517},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.7730587720870972},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6713845133781433},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6670261025428772},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6346176266670227},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5621039867401123},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.5555425882339478},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.508592963218689},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4693722724914551},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46337950229644775},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.44765931367874146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4169784188270569},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.41523993015289307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40666431188583374},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.13300257921218872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8616195917129517},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.7730587720870972},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6713845133781433},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6670261025428772},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6346176266670227},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5621039867401123},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.5555425882339478},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.508592963218689},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4693722724914551},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46337950229644775},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.44765931367874146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4169784188270569},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.41523993015289307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40666431188583374},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.13300257921218872},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3148011.3148021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148011.3148021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Knowledge Capture Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W43804564","https://openalex.org/W197270748","https://openalex.org/W635530177","https://openalex.org/W1526936404","https://openalex.org/W1552847225","https://openalex.org/W1683397350","https://openalex.org/W1805830619","https://openalex.org/W2053906594","https://openalex.org/W2067367118","https://openalex.org/W2080133951","https://openalex.org/W2104583100","https://openalex.org/W2127289991","https://openalex.org/W2130821241","https://openalex.org/W2143933463","https://openalex.org/W2144578941","https://openalex.org/W2148275491","https://openalex.org/W2148488766","https://openalex.org/W2153078783","https://openalex.org/W2170786724","https://openalex.org/W2192572088","https://openalex.org/W2233554446","https://openalex.org/W2272981098","https://openalex.org/W2407338347","https://openalex.org/W2470698596","https://openalex.org/W2477087992","https://openalex.org/W2511318058","https://openalex.org/W2517489125","https://openalex.org/W2579454606","https://openalex.org/W2583923862","https://openalex.org/W2594103888","https://openalex.org/W2604444602","https://openalex.org/W2622944721","https://openalex.org/W2964325543","https://openalex.org/W4302088405"],"related_works":["https://openalex.org/W1534274833","https://openalex.org/W3117246195","https://openalex.org/W156620619","https://openalex.org/W2616249226","https://openalex.org/W2098233217","https://openalex.org/W2914363205","https://openalex.org/W4367173559","https://openalex.org/W2327909350","https://openalex.org/W33042637","https://openalex.org/W1581157221"],"abstract_inverted_index":{"Ontologies":[0],"are":[1],"dynamic":[2],"artifacts":[3],"that":[4,89,105],"evolve":[5],"both":[6],"in":[7],"structure":[8],"and":[9,18,67,83,100],"content.":[10],"Keeping":[11],"them":[12],"up-to-date":[13],"is":[14,56],"a":[15,52,78,85,110],"very":[16],"expensive":[17],"critical":[19],"operation":[20],"for":[21],"any":[22],"application":[23],"relying":[24],"on":[25,34,77,84,109],"semantic":[26],"Web":[27],"technologies.":[28],"In":[29],"this":[30],"paper":[31],"we":[32],"focus":[33],"evolving":[35],"the":[36,90,106],"content":[37],"of":[38,45,97,102],"an":[39],"ontology":[40],"by":[41],"extracting":[42],"relevant":[43],"instances":[44],"ontological":[46],"concepts":[47],"from":[48],"text.":[49,103],"We":[50],"propose":[51],"novel":[53],"technique":[54],"which":[55],"(i)":[57],"completely":[58],"language":[59],"independent,":[60],"(ii)":[61],"combines":[62],"statistical":[63],"methods":[64],"with":[65],"human-in-the-loop":[66],"(iii)":[68],"exploits":[69],"Linked":[70,121],"Data":[71,122],"as":[72],"bootstrapping":[73],"source.":[74],"Our":[75],"experiments":[76],"publicly":[79],"available":[80],"medical":[81],"corpus":[82],"Twitter":[86],"dataset":[87],"show":[88],"proposed":[91],"solution":[92],"achieves":[93],"comparable":[94],"performances":[95],"regardless":[96],"language,":[98],"domain":[99],"style":[101],"Given":[104],"method":[107],"relies":[108],"human-in-the-loop,":[111],"our":[112],"results":[113],"can":[114],"be":[115],"safely":[116],"fed":[117],"directly":[118],"back":[119],"into":[120],"resources.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
