{"id":"https://openalex.org/W2081234872","doi":"https://doi.org/10.1109/aiccsa.2013.6616456","title":"Towards a new approach of an automatic and contextual detection of meaning in text: Based on lexico-semantic relations and the concept of the context","display_name":"Towards a new approach of an automatic and contextual detection of meaning in text: Based on lexico-semantic relations and the concept of the context","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2081234872","doi":"https://doi.org/10.1109/aiccsa.2013.6616456","mag":"2081234872"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2013.6616456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2013.6616456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 ACS International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"},"type":"preprint","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/A5108723953","display_name":"Hammou Fadili","orcid":null},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I4210145724","display_name":"Centre d'Etudes et De Recherche en Informatique et Communications","ror":"https://ror.org/044j5mm75","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210145724"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hammou Fadili","raw_affiliation_strings":["Laboratoire CEDRIC du Conservatoire National des Arts et M\u00e9tiers de Paris, Paris, France","Lab. CEDRIC, Conservatoire Nat. des Arts et Metiers de Paris, Paris, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire CEDRIC du Conservatoire National des Arts et M\u00e9tiers de Paris, Paris, France","institution_ids":["https://openalex.org/I124158823","https://openalex.org/I4210145724"]},{"raw_affiliation_string":"Lab. CEDRIC, Conservatoire Nat. des Arts et Metiers de Paris, Paris, France","institution_ids":["https://openalex.org/I124158823"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108723953"],"corresponding_institution_ids":["https://openalex.org/I124158823","https://openalex.org/I4210145724"],"apc_list":null,"apc_paid":null,"fwci":0.4942,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77141567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9994999766349792,"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":0.9994999766349792,"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":0.994700014591217,"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":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8069395422935486},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.6894867420196533},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6804627776145935},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5785171985626221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5621875524520874},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.5384359955787659},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4872247278690338},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4735763967037201},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4529435336589813},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4482175409793854},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38449162244796753},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3557843267917633},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.26073509454727173},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11803179979324341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069395422935486},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6894867420196533},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6804627776145935},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5785171985626221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5621875524520874},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.5384359955787659},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4872247278690338},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4735763967037201},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4529435336589813},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4482175409793854},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38449162244796753},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3557843267917633},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.26073509454727173},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11803179979324341},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/aiccsa.2013.6616456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2013.6616456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 ACS International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01126555v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01126555","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE-AICCSA, May 2013, X, France. pp.NC","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W812852241","https://openalex.org/W6622946577"],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W4206019083","https://openalex.org/W2048865712","https://openalex.org/W1976265003","https://openalex.org/W2370378377","https://openalex.org/W4237510188","https://openalex.org/W2130160813","https://openalex.org/W2054476758","https://openalex.org/W2350613701","https://openalex.org/W2281682023"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,19,26,46,67,75,125,132,174],"the":[3,14,17,34,44,47,53,70,73,76,126,130,147,150,171,175],"research":[4],"described":[5],"here":[6,104],"is":[7,50,78],"to":[8,105,146],"present":[9,170],"an":[10,110,122],"approach":[11,114,138,176],"for":[12],"automating":[13],"detection":[15,131],"and":[16,28,43,65,85,98,112,149,177],"extraction":[18],"meaning":[20,133,148],"from":[21],"text":[22],"using":[23],"a":[24,62,135],"range":[25],"linguistic":[27,157],"ontological":[29],"techniques,":[30],"concepts":[31],"such":[32,88,152],"as":[33,89,153],"lexico-semantic":[35],"functions":[36,60],"proposed":[37],"in":[38,82,90,109,134,142],"Meaning-Text":[39],"Theory":[40],"by":[41,52,183],"Mel'cuk":[42],"concept":[45,74],"context.":[48],"This":[49,137],"motivated,":[51],"fact":[54],"that,":[55],"on":[56,121],"one":[57],"hand,":[58,72],"these":[59,107],"enable":[61],"better":[63],"modeling":[64],"formalization":[66],"meaning.":[68],"On":[69],"other":[71],"context":[77,151],"not":[79],"well":[80],"supported":[81],"many":[83,143],"important":[84],"essential":[86],"domains":[87],"Natural":[91],"Language":[92],"Processing":[93],"(NLP),":[94],"semantic":[95,154,159],"data":[96,155],"analysis":[97],"knowledge":[99],"management.":[100],"Our":[101],"work":[102],"consists":[103],"integrate":[106],"elements":[108,173],"automatic":[111],"context-based":[113],"we":[115,169],"called":[116],"PROSEM":[117],"(SEMantic":[118],"PROjection),":[119],"based":[120],"extended":[123],"model":[124],"context,":[127],"that":[128],"improves":[129],"text.":[136],"can":[139],"be":[140],"used":[141],"areas":[144],"related":[145],"indexing,":[156],"or":[158],"search,":[160],"contextual":[161],"information":[162],"extraction,":[163],"multilingualism,":[164],"etc.":[165],"In":[166],"this":[167],"paper,":[168],"main":[172],"three":[178],"typical":[179],"applications":[180],"processes":[181],"enhanced":[182],"PROSEM.":[184]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}