{"id":"https://openalex.org/W2881652353","doi":"https://doi.org/10.1145/3227609.3227669","title":"Semantic Technologies in e-Learning","display_name":"Semantic Technologies in e-Learning","publication_year":2018,"publication_date":"2018-06-25","ids":{"openalex":"https://openalex.org/W2881652353","doi":"https://doi.org/10.1145/3227609.3227669","mag":"2881652353"},"language":"en","primary_location":{"id":"doi:10.1145/3227609.3227669","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3227609.3227669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics","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/A5083308339","display_name":"Jaroslav Mele\u0161ko","orcid":"https://orcid.org/0000-0002-6742-1964"},"institutions":[{"id":"https://openalex.org/I167420956","display_name":"Vilnius Gediminas Technical University","ror":"https://ror.org/02x3e4q36","country_code":"LT","type":"education","lineage":["https://openalex.org/I167420956"]}],"countries":["LT"],"is_corresponding":true,"raw_author_name":"Jaroslav Melesko","raw_affiliation_strings":["Department of Information Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania"],"affiliations":[{"raw_affiliation_string":"Department of Information Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania","institution_ids":["https://openalex.org/I167420956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002157929","display_name":"Eugenijus Kurilovas","orcid":null},"institutions":[{"id":"https://openalex.org/I167420956","display_name":"Vilnius Gediminas Technical University","ror":"https://ror.org/02x3e4q36","country_code":"LT","type":"education","lineage":["https://openalex.org/I167420956"]}],"countries":["LT"],"is_corresponding":false,"raw_author_name":"Eugenijus Kurilovas","raw_affiliation_strings":["Department of Information Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania"],"affiliations":[{"raw_affiliation_string":"Department of Information Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania","institution_ids":["https://openalex.org/I167420956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083308339"],"corresponding_institution_ids":["https://openalex.org/I167420956"],"apc_list":null,"apc_paid":null,"fwci":1.6017,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.83888973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11820","display_name":"Learning Styles and Cognitive Differences","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11820","display_name":"Learning Styles and Cognitive Differences","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9524999856948853,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9404000043869019,"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":0.7623172998428345},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6478029489517212},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.644690990447998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946110486984253},{"id":"https://openalex.org/keywords/learning-styles","display_name":"Learning styles","score":0.5755975842475891},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5096964836120605},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.46361881494522095},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.44475504755973816},{"id":"https://openalex.org/keywords/intelligent-agent","display_name":"Intelligent agent","score":0.44250592589378357},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.42459022998809814},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2528291344642639},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.10138890147209167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623172998428345},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6478029489517212},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.644690990447998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946110486984253},{"id":"https://openalex.org/C2781285556","wikidata":"https://www.wikidata.org/wiki/Q1820370","display_name":"Learning styles","level":2,"score":0.5755975842475891},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5096964836120605},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.46361881494522095},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.44475504755973816},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.44250592589378357},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.42459022998809814},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2528291344642639},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.10138890147209167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3227609.3227669","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3227609.3227669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1500092210","https://openalex.org/W1558065316","https://openalex.org/W1586335931","https://openalex.org/W1825077972","https://openalex.org/W1981763463","https://openalex.org/W2003766237","https://openalex.org/W2013996684","https://openalex.org/W2034543389","https://openalex.org/W2062910371","https://openalex.org/W2068597994","https://openalex.org/W2086083453","https://openalex.org/W2122560112","https://openalex.org/W2154526890","https://openalex.org/W2168894761","https://openalex.org/W2208488600","https://openalex.org/W2288049067","https://openalex.org/W2291861021","https://openalex.org/W2398351236","https://openalex.org/W2558555776","https://openalex.org/W2575270325","https://openalex.org/W2580783295","https://openalex.org/W2605911314","https://openalex.org/W2749172101","https://openalex.org/W4285719527","https://openalex.org/W4320482133"],"related_works":["https://openalex.org/W1559004430","https://openalex.org/W1485952063","https://openalex.org/W2525379498","https://openalex.org/W3114046518","https://openalex.org/W2944985468","https://openalex.org/W2113498347","https://openalex.org/W3129917098","https://openalex.org/W2057714291","https://openalex.org/W2086643109","https://openalex.org/W4379434996"],"abstract_inverted_index":{"The":[0,88,135,169],"paper":[1],"presents":[2],"semantic":[3,49,194,203],"clustering":[4,50],"and":[5,48,130,252],"artificial":[6],"neural":[7],"network":[8],"(ANN)":[9],"based":[10,71,142,192],"learning":[11,19,33,52,58,68,73,86,128,143,159,167,182,235,245],"analytics":[12,144],"software":[13],"agent":[14,145,153,221],"for":[15,230,233],"personalised":[16,55],"adaptive":[17,56],"multi-agent":[18,57,67],"system.":[20,151],"First":[21],"of":[22,29,36,44,46,51,80,90,116,140,175,207],"all,":[23],"systematic":[24],"literature":[25],"review":[26],"on":[27,72,193],"application":[28,45],"ANN":[30,47,141,155,216],"to":[31,83,125,132,146,156,201,214,249],"personalise":[32],"in":[34,54,66,92,110,114,149],"Web":[35],"Science":[37],"database":[38],"was":[39],"performed.":[40],"After":[41,218],"that,":[42],"methodology":[43],"material":[53],"system":[59,69,124,179],"is":[60,70,180,205],"presented.":[61],"In":[62],"the":[63,78,93,103,123,133,150,166,173,178,181,189,208,220,250],"paper,":[64],"personalisation":[65],"styles":[74,160],"model":[75,139],"that":[76,210],"requires":[77],"use":[79],"psychological":[81],"questionnaire":[82,94,104],"determine":[84],"student's":[85,119],"styles.":[87,236],"results":[89,113],"filling":[91],"could":[95,222],"be":[96,147,212,240],"incorrect":[97,118],"since":[98],"some":[99],"students":[100,176,197,251],"may":[101],"answer":[102],"dishonestly,":[105],"irresponsibly,":[106],"or":[107,247],"make":[108],"mistakes":[109],"self-diagnosis.":[111],"This":[112,121],"creation":[115],"an":[117],"model.":[120],"causes":[122],"provide":[126],"suboptimal":[127],"objects":[129,246],"scenarios":[131,248],"student.":[134],"authors":[136],"present":[137],"a":[138,202],"used":[148,213],"Proposed":[152],"uses":[154],"associate":[157],"students'":[158],"with":[161],"their":[162,254],"real":[163],"behaviour":[164,174,232],"within":[165,177],"environment.":[168],"key":[170],"factor":[171],"describing":[172],"content":[183,195],"they":[184],"seek":[185],"out":[186],"independently.":[187],"Clustering":[188],"visited":[190],"documents":[191],"categorizes":[196],"into":[198],"groups.":[199],"Belonging":[200],"cluster":[204],"one":[206],"inputs":[209],"can":[211,239],"train":[215],"agent.":[217],"training,":[219],"identify":[223],"potentially":[224],"faulty":[225],"student":[226],"models":[227],"by":[228,242],"looking":[229],"anomalous":[231],"those":[234],"Such":[237],"problems":[238],"resolved":[241],"providing":[243],"alternative":[244],"observing":[253],"choices.1":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
