{"id":"https://openalex.org/W2501906718","doi":"https://doi.org/10.1017/s1471068416000260","title":"Online learning of event definitions","display_name":"Online learning of event definitions","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2501906718","doi":"https://doi.org/10.1017/s1471068416000260","mag":"2501906718"},"language":"en","primary_location":{"id":"doi:10.1017/s1471068416000260","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1471068416000260","pdf_url":null,"source":{"id":"https://openalex.org/S59670734","display_name":"Theory and Practice of Logic Programming","issn_l":"1471-0684","issn":["1471-0684","1475-3081"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theory and Practice of Logic Programming","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1608.00100","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"NIKOS KATZOURIS","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]},{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]},{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"NIKOS KATZOURIS","raw_affiliation_strings":["Department of Informatics & Telecommunications, National Kapodistrian University of Athens, Athens, Greece (e-mail:","Institute of Informatics & Telecommunications, National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece (e-mail:"],"affiliations":[{"raw_affiliation_string":"Department of Informatics & Telecommunications, National Kapodistrian University of Athens, Athens, Greece (e-mail:","institution_ids":["https://openalex.org/I200777214"]},{"raw_affiliation_string":"Institute of Informatics & Telecommunications, National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece (e-mail:","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}]},{"author_position":"middle","author":{"id":null,"display_name":"ALEXANDER ARTIKIS","orcid":null},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]},{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]},{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"ALEXANDER ARTIKIS","raw_affiliation_strings":["Department of Maritime Studies, University of Piraeus, Piraeus, Greece (e-mail:","Institute of Informatics & Telecommunications, National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece (e-mail:"],"affiliations":[{"raw_affiliation_string":"Department of Maritime Studies, University of Piraeus, Piraeus, Greece (e-mail:","institution_ids":["https://openalex.org/I154757721"]},{"raw_affiliation_string":"Institute of Informatics & Telecommunications, National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece (e-mail:","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}]},{"author_position":"last","author":{"id":null,"display_name":"GEORGIOS PALIOURAS","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]},{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"GEORGIOS PALIOURAS","raw_affiliation_strings":["Institute of Informatics & Telecommunications, National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece (e-mail:"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics & Telecommunications, National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece (e-mail:","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200777214","https://openalex.org/I203474044","https://openalex.org/I4387152169"],"apc_list":null,"apc_paid":null,"fwci":1.7774,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89358315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"5-6","first_page":"817","last_page":"833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.7746000289916992,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.7746000289916992,"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":0.05290000140666962,"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":0.037300001829862595,"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/event-calculus","display_name":"Event calculus","score":0.8213000297546387},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7028999924659729},{"id":"https://openalex.org/keywords/inductive-logic-programming","display_name":"Inductive logic programming","score":0.6952999830245972},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5221999883651733},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.49410000443458557},{"id":"https://openalex.org/keywords/predicative-expression","display_name":"Predicative expression","score":0.4564000070095062},{"id":"https://openalex.org/keywords/logic-programming","display_name":"Logic programming","score":0.4496000111103058},{"id":"https://openalex.org/keywords/temporal-logic","display_name":"Temporal logic","score":0.38350000977516174},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.36399999260902405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8366000056266785},{"id":"https://openalex.org/C18460168","wikidata":"https://www.wikidata.org/wiki/Q5416707","display_name":"Event calculus","level":2,"score":0.8213000297546387},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7028999924659729},{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.6952999830245972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195999979972839},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5221999883651733},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.49410000443458557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46540001034736633},{"id":"https://openalex.org/C129131279","wikidata":"https://www.wikidata.org/wiki/Q1931259","display_name":"Predicative expression","level":2,"score":0.4564000070095062},{"id":"https://openalex.org/C128838566","wikidata":"https://www.wikidata.org/wiki/Q275603","display_name":"Logic programming","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C25016198","wikidata":"https://www.wikidata.org/wiki/Q781833","display_name":"Temporal logic","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3434000015258789},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C2987117450","wikidata":"https://www.wikidata.org/wiki/Q275603","display_name":"Logic program","level":3,"score":0.32710000872612},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3222000002861023},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C2986563244","wikidata":"https://www.wikidata.org/wiki/Q6822310","display_name":"Learning to learn","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C4777664","wikidata":"https://www.wikidata.org/wiki/Q1536492","display_name":"Linear temporal logic","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C162670838","wikidata":"https://www.wikidata.org/wiki/Q6057295","display_name":"Interval temporal logic","level":3,"score":0.27480000257492065},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C100481476","wikidata":"https://www.wikidata.org/wiki/Q4055684","display_name":"First-order logic","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s1471068416000260","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1471068416000260","pdf_url":null,"source":{"id":"https://openalex.org/S59670734","display_name":"Theory and Practice of Logic Programming","issn_l":"1471-0684","issn":["1471-0684","1475-3081"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theory and Practice of Logic Programming","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1608.00100","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.00100","pdf_url":"https://arxiv.org/pdf/1608.00100","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1608.00100","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.00100","pdf_url":"https://arxiv.org/pdf/1608.00100","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1488790962","https://openalex.org/W1500684598","https://openalex.org/W1501498539","https://openalex.org/W1509180139","https://openalex.org/W1537430301","https://openalex.org/W1555576437","https://openalex.org/W2009605580","https://openalex.org/W2033072307","https://openalex.org/W2037189708","https://openalex.org/W2068714596","https://openalex.org/W2072592647","https://openalex.org/W2106373156","https://openalex.org/W2117942708","https://openalex.org/W2119831128","https://openalex.org/W2136801552","https://openalex.org/W2150581013","https://openalex.org/W2168658806","https://openalex.org/W2404233270","https://openalex.org/W2899987233","https://openalex.org/W4211177236","https://openalex.org/W4233413206","https://openalex.org/W4237444738","https://openalex.org/W4243550141","https://openalex.org/W4293249558","https://openalex.org/W6607329366"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Systems":[1],"for":[2,60,69,79],"symbolic":[3],"event":[4,16,39],"recognition":[5,40,130],"infer":[6],"occurrences":[7],"of":[8,15,21,63,85,94,138,145,164],"events":[9],"in":[10,18,38,109,152],"time":[11],"using":[12],"a":[13,28,36,70,83,91,136,165],"set":[14],"definitions":[17],"the":[19,76,86,95,100,162],"form":[20],"first-order":[22],"rules.":[23],"The":[24],"Event":[25,64,96],"Calculus":[26,65,97],"is":[27],"temporal":[29],"logic":[30,115],"that":[31,103,169],"has":[32],"been":[33],"used":[34],"as":[35],"basis":[37],"applications,":[41],"providing":[42],"among":[43],"others,":[44],"direct":[45],"connections":[46],"to":[47,105,118,135],"machine":[48],"learning,":[49],"via":[50],"Inductive":[51],"Logic":[52],"Programming":[53],"(ILP).":[54],"We":[55,89,123,142,155],"present":[56],"an":[57,128],"ILP":[58],"system":[59],"online":[61],"learning":[62,72,101,140],"theories.":[66],"To":[67],"allow":[68],"single-pass":[71],"strategy,":[73],"we":[74,112],"use":[75,113],"Hoeffding":[77],"bound":[78],"evaluating":[80],"clauses":[81],"on":[82,127,173],"subset":[84],"input":[87],"stream.":[88],"employ":[90],"decoupling":[92],"scheme":[93],"axioms":[98],"during":[99],"process,":[102],"allows":[104],"learn":[106],"each":[107],"clause":[108],"isolation.":[110],"Moreover,":[111],"abductive-inductive":[114],"programming":[116],"techniques":[117],"handle":[119],"unobserved":[120],"target":[121],"predicates.":[122],"evaluate":[124],"our":[125],"approach":[126],"activity":[129],"application":[131],"and":[132,160],"compare":[133],"it":[134],"number":[137],"batch":[139],"techniques.":[141],"obtain":[143],"results":[144],"comparable":[146],"predicative":[147],"accuracy":[148],"with":[149],"significant":[150],"speed-ups":[151],"training":[153],"time.":[154],"also":[156],"outperform":[157],"hand-crafted":[158],"rules":[159],"match":[161],"performance":[163],"sound":[166],"incremental":[167],"learner":[168],"can":[170],"only":[171],"operate":[172],"noise-free":[174],"datasets.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-08-23T00:00:00"}
