{"id":"https://openalex.org/W2937098416","doi":"https://doi.org/10.1145/3293614.3293627","title":"An Investigation on the use of Ontologies for pattern classification - Study applied to the monitoring of food intake","display_name":"An Investigation on the use of Ontologies for pattern classification - Study applied to the monitoring of food intake","publication_year":2018,"publication_date":"2018-11-12","ids":{"openalex":"https://openalex.org/W2937098416","doi":"https://doi.org/10.1145/3293614.3293627","mag":"2937098416"},"language":"en","primary_location":{"id":"doi:10.1145/3293614.3293627","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293614.3293627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Euro American Conference on Telematics and Information Systems","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/A5039720467","display_name":"Ingridy M. P. Barbalho","orcid":"https://orcid.org/0000-0001-5696-4114"},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ingridy M. P. Barbalho","raw_affiliation_strings":["Universidade Federal Rural do Semi-\u00c1rido, Angicos/RN/Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal Rural do Semi-\u00c1rido, Angicos/RN/Brasil","institution_ids":["https://openalex.org/I84554738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003403718","display_name":"Patr\u00edcio de Alencar Silva","orcid":"https://orcid.org/0000-0001-6827-1024"},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Patricio de A. Silva","raw_affiliation_strings":["Universidade Federal Rural do Semi-\u00c1rido, Angicos/RN/Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal Rural do Semi-\u00c1rido, Angicos/RN/Brasil","institution_ids":["https://openalex.org/I84554738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022387487","display_name":"Felipe Fernandes","orcid":"https://orcid.org/0000-0003-0805-1796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felipe R. dos S. Fernandes","raw_affiliation_strings":["Programa de P\u00f3s-Gradua\u00e7\u00e3o em, Ci\u00eancia da Computa\u00e7\u00e3o -- UERN/UFERSA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em, Ci\u00eancia da Computa\u00e7\u00e3o -- UERN/UFERSA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091061829","display_name":"Francisco Mendes Neto","orcid":null},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco M. M. Neto","raw_affiliation_strings":["Universidade Federal Rural do Semi-\u00c1rido, Mossor\u00f3/RN/Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal Rural do Semi-\u00c1rido, Mossor\u00f3/RN/Brasil","institution_ids":["https://openalex.org/I84554738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088776989","display_name":"Cic\u00edlia Raquel Maia Leite","orcid":"https://orcid.org/0000-0003-1857-6238"},"institutions":[{"id":"https://openalex.org/I4210103065","display_name":"Universidade do Estado do Rio Grande do Norte","ror":"https://ror.org/01ee0g236","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210103065"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cicilia R. M. Leite","raw_affiliation_strings":["Universidade do Estado do Rio Grande do Norte, Mossor\u00f3/RN/Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade do Estado do Rio Grande do Norte, Mossor\u00f3/RN/Brasil","institution_ids":["https://openalex.org/I4210103065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.212,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59185311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9348999857902527,"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/ontology","display_name":"Ontology","score":0.8541852235794067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7718932032585144},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.7534712553024292},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5792449116706848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4722323417663574},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4233448803424835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.388206422328949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3750631511211395}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8541852235794067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718932032585144},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.7534712553024292},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5792449116706848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4722323417663574},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4233448803424835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.388206422328949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3750631511211395},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3293614.3293627","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293614.3293627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Euro American Conference on Telematics and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W64819943","https://openalex.org/W1563421732","https://openalex.org/W1654805921","https://openalex.org/W2015712452","https://openalex.org/W2017391478","https://openalex.org/W2054058257","https://openalex.org/W2069028558","https://openalex.org/W2078718894","https://openalex.org/W2080853390","https://openalex.org/W2108599449","https://openalex.org/W2122897458","https://openalex.org/W2132549764","https://openalex.org/W2143014063","https://openalex.org/W2163219925","https://openalex.org/W2244564463","https://openalex.org/W2285103477","https://openalex.org/W2295060721","https://openalex.org/W2343509112","https://openalex.org/W2517053857","https://openalex.org/W2551978894","https://openalex.org/W2799148064","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W4394443292","https://openalex.org/W4251394462","https://openalex.org/W1580673008","https://openalex.org/W1510936208","https://openalex.org/W2486167009","https://openalex.org/W1595575899","https://openalex.org/W756498608","https://openalex.org/W2135201366","https://openalex.org/W4285395220","https://openalex.org/W2493576743"],"abstract_inverted_index":{"Several":[0],"tools":[1],"are":[2,23],"developed":[3],"with":[4],"the":[5,31,38,60,66,86,92,103,105,117,122,125,130],"purpose":[6],"of":[7,46,62,82,91,124,127],"solving":[8],"problems":[9],"and":[10,34,50,70,84,88,94],"exposing":[11,51],"results":[12,113],"similar":[13],"to":[14,26,76,121],"human":[15],"reasoning.":[16],"For":[17,30],"this,":[18],"various":[19],"artificial":[20],"intelligence":[21],"techniques":[22],"being":[24],"implemented":[25],"improve":[27],"these":[28],"applications.":[29],"poorly":[32],"structured":[33],"high":[35],"volume":[36],"data,":[37],"ontology":[39,64],"presents":[40],"itself":[41],"as":[42,65],"a":[43],"technique":[44,69],"capable":[45,81],"structuring":[47],"this":[48,55,57],"data":[49,67],"representative":[52],"results.":[53],"In":[54],"way,":[56],"work":[58],"describes":[59],"use":[61,126],"an":[63,78],"classification":[68],"pattern":[71],"recognition.":[72],"The":[73,112],"objective":[74],"is":[75],"develop":[77],"ontological":[79],"structure":[80],"analyzing":[83],"classifying":[85],"movements":[87],"sound":[89],"signals":[90],"chewing":[93],"swallowing":[95],"process":[96],"in":[97,109,132],"solids":[98],"or":[99],"liquids.":[100],"To":[101],"validate":[102],"ontology,":[104],"tests":[106],"were":[107],"performed":[108],"real":[110],"environments.":[111],"obtained,":[114],"based":[115],"on":[116],"realized":[118],"experiments,":[119],"point":[120],"viability":[123],"ontologies":[128],"for":[129],"problem":[131],"question.":[133]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}