{"id":"https://openalex.org/W3176422463","doi":"https://doi.org/10.1145/3430665.3456378","title":"NeoCyberKG: Enhancing Cybersecurity Laboratories with a Machine Learning-enabled Knowledge Graph","display_name":"NeoCyberKG: Enhancing Cybersecurity Laboratories with a Machine Learning-enabled Knowledge Graph","publication_year":2021,"publication_date":"2021-06-18","ids":{"openalex":"https://openalex.org/W3176422463","doi":"https://doi.org/10.1145/3430665.3456378","mag":"3176422463"},"language":"en","primary_location":{"id":"doi:10.1145/3430665.3456378","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3430665.3456378","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3430665.3456378","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3430665.3456378","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034806935","display_name":"Yuli Deng","orcid":"https://orcid.org/0000-0001-7715-9966"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuli Deng","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360185","display_name":"Zhen Zeng","orcid":"https://orcid.org/0000-0002-7877-292X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Zeng","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003921452","display_name":"Dijiang Huang","orcid":"https://orcid.org/0000-0003-3257-6349"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dijiang Huang","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034806935"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.8398,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7857038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"310","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9889000058174133,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9889000058174133,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10260","display_name":"Software Engineering Research","score":0.9854000210762024,"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":0.7861981391906738},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6382020115852356},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5013539791107178},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.42484909296035767},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.42314326763153076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38047274947166443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861981391906738},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6382020115852356},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5013539791107178},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42484909296035767},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.42314326763153076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38047274947166443},{"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:10.1145/3430665.3456378","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3430665.3456378","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3430665.3456378","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3430665.3456378","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3430665.3456378","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3430665.3456378","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2506844463","display_name":null,"funder_award_id":"2114789 and DGE-1723440","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4923465957","display_name":null,"funder_award_id":"2114789","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6419108986","display_name":null,"funder_award_id":"DGE-1723440","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8701111669","display_name":null,"funder_award_id":"1723440","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3176422463.pdf","grobid_xml":"https://content.openalex.org/works/W3176422463.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1985852691","https://openalex.org/W2003374162","https://openalex.org/W2083533237","https://openalex.org/W2118350594","https://openalex.org/W2135198734","https://openalex.org/W2162590473","https://openalex.org/W2604655177","https://openalex.org/W2605232052","https://openalex.org/W2759136286","https://openalex.org/W2772108278","https://openalex.org/W2788582223","https://openalex.org/W2793402936","https://openalex.org/W2917458986","https://openalex.org/W2921444726","https://openalex.org/W2942735942","https://openalex.org/W3004766324","https://openalex.org/W4239025696","https://openalex.org/W6683883671"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4286432911"],"abstract_inverted_index":{"The":[0],"hands-on":[1],"lab":[2,106,123,130,147,154,186],"is":[3,83,92],"a":[4,13,22,41,48,64,87,97,145,168,202,211,216,244],"critical":[5],"component":[6],"of":[7,12,104,140,196],"cybersecurity":[8,30,134,172,213,236],"education.":[9],"There":[10],"lacks":[11],"coherent":[14],"way":[15],"to":[16,20,39,74,95,116,133,188,225],"manage":[17],"existing":[18],"labs":[19,173,178],"provide":[21],"practical":[23],"learning":[24,49,182,190,228,245],"plan":[25],"for":[26,51,149,171],"learners":[27],"in":[28,78,86,110,234],"the":[29,35,102,138,194,197,235,240],"area.":[31],"Previous":[32],"studies":[33,80],"utilized":[34],"word":[36,76],"embedding":[37,77],"technologies":[38],"construct":[40,126],"knowledge":[42,127,162,241],"graph":[43,242],"and":[44,90,107,125,156,161,174,184,206,230],"adopt":[45],"it":[46,82,91],"as":[47,81,243],"guide":[50],"students,":[52],"but":[53],"this":[54,60,141],"approach":[55,66],"has":[56],"its":[57],"limitations.":[58],"In":[59],"paper,":[61],"we":[62,200],"present":[63],"new":[65],"based":[67,179],"on":[68,180],"latent":[69],"semantic":[70,119],"analysis":[71],"(LSA)":[72],"method":[73],"replace":[75],"previous":[79],"more":[84,176,232],"appropriate":[85],"small-size":[88],"corpus,":[89],"also":[93],"able":[94],"create":[96],"mapping":[98],"that":[99,222],"connects":[100],"both":[101],"topic":[103],"each":[105,111,165],"concepts":[108,160],"contained":[109],"lab.":[112,166],"We":[113,136],"use":[114,203],"LSA":[115],"identify":[117],"relevant":[118,122,177],"relations,":[120],"extract":[121,163],"problems,":[124],"graphs":[128],"from":[129,164,210],"contents":[131],"related":[132],"topics.":[135],"utilize":[137],"output":[139],"study":[142,205,220],"by":[143,238],"establishing":[144],"web-based":[146],"environment":[148],"students":[150],"that:":[151],"1.":[152],"providing":[153],"index":[155],"searching,":[157],"which":[158],"contains":[159],"2.building":[167],"recommendation/guidance":[169],"system":[170],"suggesting":[175],"users":[181,223],"preferences":[183],"past":[185],"history":[187],"maximize":[189],"outcomes.":[191],"To":[192],"measure":[193],"effectiveness":[195],"proposed":[198],"solution,":[199],"conducted":[201],"case":[204],"collected":[207],"survey":[208],"data":[209],"graduate-level":[212],"class":[214],"at":[215],"public":[217],"university.":[218],"Our":[219],"shows":[221],"tend":[224],"gain":[226],"enhanced":[227],"outcomes":[229],"express":[231],"interest":[233],"area":[237],"leveraging":[239],"guide.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}