{"id":"https://openalex.org/W2978800570","doi":"https://doi.org/10.1109/la-cci47412.2019.9037041","title":"Application of Swarm-intelligent Methods to Optimize Error-tolerant Graph Matching for Automatic E-Assessment","display_name":"Application of Swarm-intelligent Methods to Optimize Error-tolerant Graph Matching for Automatic E-Assessment","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2978800570","doi":"https://doi.org/10.1109/la-cci47412.2019.9037041","mag":"2978800570"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci47412.2019.9037041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci47412.2019.9037041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5048480376","display_name":"Tobias Reischmann","orcid":"https://orcid.org/0000-0002-5210-072X"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Reischmann","raw_affiliation_strings":["Practical computer science group, University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Practical computer science group, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062336564","display_name":"Breno Augusto de Melo Menezes","orcid":"https://orcid.org/0000-0002-7010-7482"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Breno Menezes","raw_affiliation_strings":["Practical computer science group, University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Practical computer science group, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048480376"],"corresponding_institution_ids":["https://openalex.org/I22465464"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10690839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9983999729156494,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9983999729156494,"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.991100013256073,"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":0.7913540601730347},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6112536787986755},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6055833101272583},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5499241352081299},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5311922430992126},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5077344179153442},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.4908028542995453},{"id":"https://openalex.org/keywords/edit-distance","display_name":"Edit distance","score":0.4346972703933716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4211721420288086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37126708030700684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3267202377319336},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3071044981479645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09466153383255005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7913540601730347},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6112536787986755},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6055833101272583},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5499241352081299},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5311922430992126},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5077344179153442},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.4908028542995453},{"id":"https://openalex.org/C44359876","wikidata":"https://www.wikidata.org/wiki/Q5338467","display_name":"Edit distance","level":2,"score":0.4346972703933716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4211721420288086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37126708030700684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3267202377319336},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3071044981479645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09466153383255005},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci47412.2019.9037041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci47412.2019.9037041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1499983649","https://openalex.org/W2041434253","https://openalex.org/W2083542829","https://openalex.org/W2093083775","https://openalex.org/W2109364787","https://openalex.org/W2122929441","https://openalex.org/W2162551958","https://openalex.org/W2912057917","https://openalex.org/W6629686014"],"related_works":["https://openalex.org/W3044917232","https://openalex.org/W4288714711","https://openalex.org/W3200708550","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W2736680465","https://openalex.org/W2133833450","https://openalex.org/W3134384462","https://openalex.org/W2125094050","https://openalex.org/W2540137049"],"abstract_inverted_index":{"Automatic":[0],"e-assessment":[1,72],"poses":[2],"the":[3,20,40,59,67,86,90,107,110,115,119,128,131,137],"challenge":[4],"to":[5,18,105,118],"design":[6,76],"algorithms,":[7],"which":[8,74],"are":[9,37],"capable":[10],"of":[11,25,39,70,85,89,109,121,130,139],"identifying":[12],"patterns":[13,77],"within":[14,78],"a":[15,44,54,79],"student's":[16,91],"submission":[17],"distinguish":[19],"correct":[21],"and":[22,101,123,135],"incorrect":[23],"aspects":[24],"their":[26],"solution.":[27],"Error-tolerant":[28],"graph":[29,33],"matching":[30,68,116],"techniques":[31],"using":[32],"edit":[34,60],"distance":[35],"metrics":[36],"one":[38],"applicable":[41],"methods.":[42],"There,":[43],"reasonable":[45],"identification":[46],"rate":[47],"is":[48],"only":[49],"achievable":[50],"if":[51],"we":[52,65,96],"use":[53],"proper":[55],"cost":[56,111],"function":[57,112,134],"for":[58,143],"operations.":[61],"In":[62],"this":[63,94],"paper,":[64],"optimize":[66,106],"quality":[69],"an":[71],"system,":[73],"identifies":[75],"UML":[80],"class":[81],"diagram":[82],"as":[83],"part":[84],"automatic":[87],"analysis":[88],"submission.":[92],"For":[93],"purpose,":[95],"apply":[97],"particle":[98],"swarm":[99,140],"optimization":[100],"fish":[102],"school":[103],"search":[104],"parameters":[108],"by":[113],"comparing":[114],"results":[117],"assessments":[120],"students":[122],"teachers.":[124],"We":[125],"further":[126],"show":[127],"complexity":[129],"resulting":[132],"fitness":[133],"justify":[136],"application":[138,145],"intelligent":[141],"heuristics":[142],"such":[144],"scenarios.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}