{"id":"https://openalex.org/W2751358479","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023219","title":"Reflective multi-agent model using semantic similarity measure and negotiation protocol for solving heterogeneity","display_name":"Reflective multi-agent model using semantic similarity measure and negotiation protocol for solving heterogeneity","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2751358479","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023219","mag":"2751358479"},"language":"en","primary_location":{"id":"doi:10.1109/ifsa-scis.2017.8023219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","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/A5046059507","display_name":"Dhouha Ben Noureddine","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Dhouha Ben Noureddine","raw_affiliation_strings":["FST, University of El Manar, Tunisia","LISI, University of Carthage, Tunisia"],"affiliations":[{"raw_affiliation_string":"FST, University of El Manar, Tunisia","institution_ids":["https://openalex.org/I63596082"]},{"raw_affiliation_string":"LISI, University of Carthage, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013052619","display_name":"Atef Gharbi","orcid":"https://orcid.org/0000-0002-5894-8895"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]},{"id":"https://openalex.org/I42731748","display_name":"National Institute of Applied Science and Technology","ror":"https://ror.org/00qn2rd91","country_code":"TN","type":"facility","lineage":["https://openalex.org/I42731748"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Atef Gharbi","raw_affiliation_strings":["INSAT Urban Center North, Tunis Cedex","LISI, University of Carthage, Tunisia"],"affiliations":[{"raw_affiliation_string":"INSAT Urban Center North, Tunis Cedex","institution_ids":["https://openalex.org/I42731748"]},{"raw_affiliation_string":"LISI, University of Carthage, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000771912","display_name":"Samir Ben Ahmed","orcid":"https://orcid.org/0000-0002-4642-2108"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Samir Ben Ahmed","raw_affiliation_strings":["FST, University of El Manar, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"FST, University of El Manar, Tunis, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046059507"],"corresponding_institution_ids":["https://openalex.org/I179097149","https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11298423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9991000294685364,"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":0.9991000294685364,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9987999796867371,"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/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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":0.8170479536056519},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.7700943350791931},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7426638603210449},{"id":"https://openalex.org/keywords/semantic-heterogeneity","display_name":"Semantic heterogeneity","score":0.7140860557556152},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6934750080108643},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6703592538833618},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6609325408935547},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5793920159339905},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5561834573745728},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5400832891464233},{"id":"https://openalex.org/keywords/semantic-integration","display_name":"Semantic integration","score":0.4984242916107178},{"id":"https://openalex.org/keywords/negotiation","display_name":"Negotiation","score":0.4376599192619324},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4349234402179718},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4233989119529724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37686029076576233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3641888499259949},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.30985027551651},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.23478013277053833},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.1954830288887024},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13525748252868652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8170479536056519},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7700943350791931},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7426638603210449},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.7140860557556152},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6934750080108643},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6703592538833618},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6609325408935547},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5793920159339905},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5561834573745728},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5400832891464233},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.4984242916107178},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.4376599192619324},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4349234402179718},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4233989119529724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37686029076576233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3641888499259949},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.30985027551651},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.23478013277053833},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.1954830288887024},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13525748252868652},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"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:10.1109/ifsa-scis.2017.8023219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W17359543","https://openalex.org/W1493611051","https://openalex.org/W1506328535","https://openalex.org/W1605479740","https://openalex.org/W1647729745","https://openalex.org/W1854884267","https://openalex.org/W1904065432","https://openalex.org/W2013093146","https://openalex.org/W2026487812","https://openalex.org/W2059975159","https://openalex.org/W2067438047","https://openalex.org/W2080100102","https://openalex.org/W2100935296","https://openalex.org/W2103318667","https://openalex.org/W2113609601","https://openalex.org/W2117805756","https://openalex.org/W2122840128","https://openalex.org/W2136480620","https://openalex.org/W2137735870","https://openalex.org/W2142625445","https://openalex.org/W2143961661","https://openalex.org/W2170682101","https://openalex.org/W2895467231","https://openalex.org/W2950225692","https://openalex.org/W6600698116","https://openalex.org/W6629286074","https://openalex.org/W6636975626","https://openalex.org/W6675339850","https://openalex.org/W6677712588","https://openalex.org/W6680094886"],"related_works":["https://openalex.org/W3134365128","https://openalex.org/W2133831373","https://openalex.org/W2044128863","https://openalex.org/W1542223729","https://openalex.org/W2114077504","https://openalex.org/W2381211535","https://openalex.org/W2543641798","https://openalex.org/W2165366845","https://openalex.org/W1966422074","https://openalex.org/W2315308740"],"abstract_inverted_index":{"Semantic":[0],"similarity":[1,19,113,159],"measures":[2,20],"play":[3],"important":[4],"role":[5],"in":[6,8,25,96],"communication":[7],"an":[9,105],"open":[10],"and":[11,38,56,161,165],"heterogeneous":[12],"multi-agent":[13],"system":[14],"(MAS).":[15],"A":[16],"survey":[17],"on":[18,137],"between":[21,78],"concepts":[22],"is":[23],"afforded":[24],"this":[26],"paper.":[27],"We":[28,42,99],"present":[29,134],"these":[30],"techniques,":[31],"provide":[32,149],"evaluations":[33,150],"of":[34,51,59,151,155],"their":[35,40,163],"result":[36,153],"performances,":[37],"discuss":[39,162],"shortcomings.":[41],"propose":[43],"a":[44,48,68,102,112,124],"measure":[45,63,114],"by":[46,91],"combining":[47],"psychological":[49],"knowledge":[50],"the":[52,54,57,117,131,156],"relevance,":[53],"resemblance":[55],"non-symmetry":[58],"similarity.":[60],"The":[61,84],"proposed":[62],"leads":[64],"us":[65],"to":[66,75,115],"suggest":[67,123],"novel":[69],"reflective":[70],"agent":[71,85],"model":[72,103],"allowing":[73],"agents":[74],"autonomously":[76],"communicate":[77],"each":[79],"other":[80],"through":[81],"semantic":[82,93,128,158],"heterogeneity.":[83],"can":[86],"enrich":[87],"its":[88],"own":[89],"ontology":[90,107],"using":[92,104],"negotiation":[94],"approach":[95],"several":[97],"steps.":[98],"develop":[100],"firstly,":[101],"alignment":[106],"framework.":[108],"Then,":[109,121],"we":[110,122,133,148],"improve":[111],"select":[116],"most":[118],"similar":[119],"pairs.":[120],"protocol":[125],"for":[126],"supporting":[127],"negotiation.":[129],"At":[130],"end,":[132],"our":[135,143],"experiments":[136],"many":[138],"benchmark":[139],"datasets":[140],"proving":[141],"that":[142],"results":[144],"are":[145],"more":[146],"reasonable,":[147],"some":[152],"performances":[154],"existing":[157],"metrics,":[160],"advantages":[164],"drawbacks.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}