{"id":"https://openalex.org/W2275007988","doi":"https://doi.org/10.1145/2808580.2808651","title":"Semantic similarity algorithm for SOAQ assessment","display_name":"Semantic similarity algorithm for SOAQ assessment","publication_year":2015,"publication_date":"2015-10-07","ids":{"openalex":"https://openalex.org/W2275007988","doi":"https://doi.org/10.1145/2808580.2808651","mag":"2275007988"},"language":"en","primary_location":{"id":"doi:10.1145/2808580.2808651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808580.2808651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality","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/A5041736032","display_name":"Safa Ben Salem","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Safa Ben Salem","raw_affiliation_strings":["University of Sousse, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037173088","display_name":"Lilia Cheniti\u2010Belcadhi","orcid":"https://orcid.org/0000-0001-8142-6457"},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lilia Cheniti-Belcadhi","raw_affiliation_strings":["University of Sousse, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110211893","display_name":"Rafik Braham","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rafik Braham","raw_affiliation_strings":["University of Sousse, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8636806"],"apc_list":null,"apc_paid":null,"fwci":0.5792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65755236,"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":"473","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9940000176429749,"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"}},"topics":[{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9940000176429749,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9771000146865845,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9682999849319458,"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/tutor","display_name":"TUTOR","score":0.8147706389427185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7614887952804565},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6994585394859314},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6551371812820435},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5271613001823425},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5043312311172485},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4680124521255493},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4535348415374756},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4151611924171448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4067326486110687},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3610738515853882},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33055728673934937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26287269592285156}],"concepts":[{"id":"https://openalex.org/C2778371403","wikidata":"https://www.wikidata.org/wiki/Q7672049","display_name":"TUTOR","level":2,"score":0.8147706389427185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7614887952804565},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6994585394859314},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6551371812820435},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5271613001823425},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5043312311172485},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4680124521255493},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4535348415374756},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4151611924171448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4067326486110687},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3610738515853882},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33055728673934937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26287269592285156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808580.2808651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808580.2808651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W101406250","https://openalex.org/W195850110","https://openalex.org/W1583837637","https://openalex.org/W1647729745","https://openalex.org/W1751837507","https://openalex.org/W1912497050","https://openalex.org/W1976563722","https://openalex.org/W1990167011","https://openalex.org/W1996239094","https://openalex.org/W2054477000","https://openalex.org/W2059975159","https://openalex.org/W2092967393","https://openalex.org/W2107105977","https://openalex.org/W2123457740","https://openalex.org/W2123840363","https://openalex.org/W2127554718","https://openalex.org/W2133436118","https://openalex.org/W2135910298","https://openalex.org/W2136480620","https://openalex.org/W2160162963","https://openalex.org/W2172200076","https://openalex.org/W2183789755","https://openalex.org/W2258961953","https://openalex.org/W2534712034","https://openalex.org/W2769416443","https://openalex.org/W2912814679","https://openalex.org/W2950225692","https://openalex.org/W2952884466","https://openalex.org/W2953332543","https://openalex.org/W4235505822","https://openalex.org/W4245780501","https://openalex.org/W4250461442","https://openalex.org/W4300958603","https://openalex.org/W6665698582"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W1940044583","https://openalex.org/W2806903871"],"abstract_inverted_index":{"Knowledge":[0],"assessment":[1,30,58,72,97],"can":[2,68],"be":[3,27],"defined":[4],"as":[5],"the":[6,39,85,92,101,106,115,119,141],"process":[7],"to":[8,15,26,42,50,126,133,140],"describe,":[9],"collect":[10],"and":[11,21,35,77,87,121,135],"provide":[12],"useful":[13],"information":[14],"make":[16],"decision":[17],"concerning":[18],"leaner":[19],"progress":[20],"various":[22],"approaches":[23],"of":[24,31,47,56,73,118],"learning":[25],"adopted.":[28],"The":[29],"questions":[32,74],"with":[33,75,129],"open":[34,76],"short":[36,78,95],"answers,":[37,123],"where":[38],"learner":[40,120],"has":[41],"develop":[43],"a":[44,54,109,130,137],"response":[45,79,103],"going":[46],"some":[48],"words":[49],"5":[51],"lines,":[52],"constitutes":[53],"type":[55],"complex":[57],"technique.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,124],"present":[64],"an":[65],"approach":[66],"which":[67],"assist":[69],"tutors":[70],"in":[71],"by":[80,105],"using":[81],"concept":[82],"maps":[83],"for":[84],"answers":[86],"semantic":[88],"similarity":[89,131],"measures":[90],"between":[91],"texts.":[93],"This":[94],"answer":[96],"is":[98],"based":[99],"on":[100],"reference":[102],"prepared":[104],"tutor.":[107],"Following":[108],"knowledge":[110],"base":[111],"generation":[112],"starting":[113],"from":[114],"important":[116],"concepts":[117],"tutor":[122],"propose":[125],"compare":[127],"them":[128],"measure":[132],"calculate":[134],"deliver":[136],"final":[138],"score":[139],"answer.":[142]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}