{"id":"https://openalex.org/W4310175366","doi":"https://doi.org/10.1109/clei56649.2022.9959904","title":"Context Knowledge Extraction using Network Traffic Information","display_name":"Context Knowledge Extraction using Network Traffic Information","publication_year":2022,"publication_date":"2022-10-17","ids":{"openalex":"https://openalex.org/W4310175366","doi":"https://doi.org/10.1109/clei56649.2022.9959904"},"language":"en","primary_location":{"id":"doi:10.1109/clei56649.2022.9959904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei56649.2022.9959904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 XVLIII Latin American Computer Conference (CLEI)","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/A5042045106","display_name":"Jos\u00e9 Aguilar","orcid":"https://orcid.org/0000-0003-4194-6882"},"institutions":[{"id":"https://openalex.org/I203303854","display_name":"University of the Andes","ror":"https://ror.org/02h1b1x27","country_code":"VE","type":"education","lineage":["https://openalex.org/I203303854"]}],"countries":["VE"],"is_corresponding":true,"raw_author_name":"Jose Aguilar","raw_affiliation_strings":["Univ. de Los Andes,CEMISID,Mérida,Venezuela"],"affiliations":[{"raw_affiliation_string":"Univ. de Los Andes,CEMISID,Mérida,Venezuela","institution_ids":["https://openalex.org/I203303854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005609559","display_name":"Marxjhony Jerez","orcid":null},"institutions":[{"id":"https://openalex.org/I203303854","display_name":"University of the Andes","ror":"https://ror.org/02h1b1x27","country_code":"VE","type":"education","lineage":["https://openalex.org/I203303854"]}],"countries":["VE"],"is_corresponding":false,"raw_author_name":"Marxjhony Jerez","raw_affiliation_strings":["Universidad de Los Andes,CEMISID,Mérida,Venezuela"],"affiliations":[{"raw_affiliation_string":"Universidad de Los Andes,CEMISID,Mérida,Venezuela","institution_ids":["https://openalex.org/I203303854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072558557","display_name":"\u00c1ngel Pinto","orcid":"https://orcid.org/0000-0002-6792-8095"},"institutions":[{"id":"https://openalex.org/I4210101808","display_name":"Universidad del Sin\u00fa","ror":"https://ror.org/013ys5k90","country_code":"CO","type":"education","lineage":["https://openalex.org/I4210101808"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Angel Pinto","raw_affiliation_strings":["Universidad del Sinu,Facultad de Ingeniería,Monteria,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad del Sinu,Facultad de Ingeniería,Monteria,Colombia","institution_ids":["https://openalex.org/I4210101808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032861417","display_name":"Jos\u00e9 Guti\u00e9rrez de Mesa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Gutierrez De Mesa","raw_affiliation_strings":["Universidad de Alcalá,Dpto Cs. Computación,España"],"affiliations":[{"raw_affiliation_string":"Universidad de Alcalá,Dpto Cs. Computación,España","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101987409","display_name":"Edwin Montoya","orcid":"https://orcid.org/0000-0002-5506-0022"},"institutions":[{"id":"https://openalex.org/I862322245","display_name":"Universidad EAFIT","ror":"https://ror.org/03y3y9v44","country_code":"CO","type":"education","lineage":["https://openalex.org/I862322245"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Edwin Montoya","raw_affiliation_strings":["Universidad Eafit,GIDITIC,Medellín,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad Eafit,GIDITIC,Medellín,Colombia","institution_ids":["https://openalex.org/I862322245"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042045106"],"corresponding_institution_ids":["https://openalex.org/I203303854"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14858115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991000294685364,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9986000061035156,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8047506213188171},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7135515213012695},{"id":"https://openalex.org/keywords/context-awareness","display_name":"Context awareness","score":0.5658428072929382},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5628021955490112},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.559485137462616},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.5386694669723511},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4417569637298584},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32515403628349304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2897939085960388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8047506213188171},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7135515213012695},{"id":"https://openalex.org/C2781368080","wikidata":"https://www.wikidata.org/wiki/Q501688","display_name":"Context awareness","level":3,"score":0.5658428072929382},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5628021955490112},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.559485137462616},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.5386694669723511},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4417569637298584},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32515403628349304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2897939085960388},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei56649.2022.9959904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei56649.2022.9959904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 XVLIII Latin American Computer Conference (CLEI)","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":34,"referenced_works":["https://openalex.org/W1575577826","https://openalex.org/W1592832573","https://openalex.org/W2019369382","https://openalex.org/W2048032043","https://openalex.org/W2068000786","https://openalex.org/W2077863014","https://openalex.org/W2096674597","https://openalex.org/W2122144819","https://openalex.org/W2149571923","https://openalex.org/W2151943360","https://openalex.org/W2205792342","https://openalex.org/W2247056620","https://openalex.org/W2340426395","https://openalex.org/W2485978960","https://openalex.org/W2592456151","https://openalex.org/W2599600800","https://openalex.org/W2613548641","https://openalex.org/W2619977711","https://openalex.org/W2622100575","https://openalex.org/W2626396178","https://openalex.org/W2739613544","https://openalex.org/W2744601386","https://openalex.org/W2747675288","https://openalex.org/W2768751999","https://openalex.org/W2784153305","https://openalex.org/W2877450071","https://openalex.org/W2883941790","https://openalex.org/W2963049813","https://openalex.org/W2970942213","https://openalex.org/W3049642876","https://openalex.org/W3174452260","https://openalex.org/W3195585048","https://openalex.org/W6635588227","https://openalex.org/W6753038853"],"related_works":["https://openalex.org/W1604392396","https://openalex.org/W1863657797","https://openalex.org/W2154188405","https://openalex.org/W2102543574","https://openalex.org/W1996503207","https://openalex.org/W2078079532","https://openalex.org/W2049441025","https://openalex.org/W1973082944","https://openalex.org/W2588732842","https://openalex.org/W2140179795"],"abstract_inverted_index":{"A":[0],"growing":[1],"trend":[2],"in":[3,50,104],"information":[4,96,109],"technology":[5],"is":[6,21,65,119],"not":[7],"just":[8],"reacting":[9],"to":[10,41,56,68,85,121],"changes,":[11],"but":[12],"anticipating":[13],"them":[14],"as":[15,17,28],"much":[16],"possible.":[18],"This":[19,73,108],"paradigm":[20],"the":[22,31,39,42,58,90,98,101,111,126],"base":[23],"of":[24,78,81,100,116],"modern":[25],"applications,":[26,33],"such":[27],"recommendation":[29],"systems,":[30,44],"context-aware":[32],"among":[34],"others.":[35],"Anticipatory":[36],"systems":[37],"extend":[38],"idea":[40],"communication":[43],"by":[45],"studying":[46],"patterns":[47],"and":[48,53],"periodicity":[49],"human":[51],"behavior":[52,99],"network":[54,59,91,112],"dynamic,":[55],"optimize":[57],"performance.":[60],"Particularly,":[61],"for":[62],"context-awareness":[63],"applications":[64],"very":[66],"important":[67],"extract":[69,122],"autonomously":[70],"contextual":[71],"information.":[72],"work":[74],"proposes":[75],"a":[76,105],"set":[77],"autonomic":[79],"cycles":[80],"data":[82,129],"analysis":[83,130],"tasks":[84],"provide":[86],"context":[87,127],"awareness":[88],"using":[89,128],"traffic":[92,102],"data,":[93],"which":[94],"gives":[95],"about":[97,110,125],"flow":[103],"given":[106],"context.":[107],"(links,":[113],"users,":[114],"type":[115],"traffic,":[117],"etc.)":[118],"used":[120],"useful":[123],"knowledge":[124],"tasks.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}