{"id":"https://openalex.org/W6944289835","doi":"https://doi.org/10.18420/btw2025-19","title":"Embracing Change: Incremental Updates of Discovered Event Queries","display_name":"Embracing Change: Incremental Updates of Discovered Event Queries","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W6944289835","doi":"https://doi.org/10.18420/btw2025-19"},"language":"en","primary_location":{"id":"pmh:oai:documentserver.uhasselt.be:1942/45798","is_oa":true,"landing_page_url":"https://dl.gi.de/handle/20.500.12116/45882","pdf_url":"https://dl.gi.de/bitstreams/af5012ce-7d6e-4667-b625-a581908f4a7d/download","source":{"id":"https://openalex.org/S4306401926","display_name":"Document Server@UHasselt (UHasselt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I878454856","host_organization_name":"Hasselt University","host_organization_lineage":["https://openalex.org/I878454856"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dl.gi.de/bitstreams/af5012ce-7d6e-4667-b625-a581908f4a7d/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sattler, Rebecca","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sattler, Rebecca","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kleest-Mei\u00dfner, Sarah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kleest-Mei\u00dfner, Sarah","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Lange, Steven","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lange, Steven","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Schmid, Markus L.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schmid, Markus L.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Schweikardt, Nicole","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schweikardt, Nicole","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Weidlich, Matthias","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weidlich, Matthias","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52305885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.8090999722480774,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.8090999722480774,"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/T11106","display_name":"Data Management and Algorithms","score":0.11249999701976776,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.014100000262260437,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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","display_name":"Event (particle physics)","score":0.6492000222206116},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6100000143051147},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.430400013923645},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4275999963283539},{"id":"https://openalex.org/keywords/complex-event-processing","display_name":"Complex event processing","score":0.4106000065803528},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4032000005245209},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.3424000144004822},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.3330000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8212000131607056},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6492000222206116},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6100000143051147},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46639999747276306},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44920000433921814},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.4106000065803528},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.40630000829696655},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4032000005245209},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.3424000144004822},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.3330000042915344},{"id":"https://openalex.org/C2989070954","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database query","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.2973000109195709},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.29280000925064087},{"id":"https://openalex.org/C12439846","wikidata":"https://www.wikidata.org/wiki/Q4809258","display_name":"Database theory","level":3,"score":0.289900004863739},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28349998593330383},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.28290000557899475},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:documentserver.uhasselt.be:1942/45798","is_oa":true,"landing_page_url":"https://dl.gi.de/handle/20.500.12116/45882","pdf_url":"https://dl.gi.de/bitstreams/af5012ce-7d6e-4667-b625-a581908f4a7d/download","source":{"id":"https://openalex.org/S4306401926","display_name":"Document Server@UHasselt (UHasselt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I878454856","host_organization_name":"Hasselt University","host_organization_lineage":["https://openalex.org/I878454856"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.18420/btw2025-19","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2025-19","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:documentserver.uhasselt.be:1942/45798","is_oa":true,"landing_page_url":"https://dl.gi.de/handle/20.500.12116/45882","pdf_url":"https://dl.gi.de/bitstreams/af5012ce-7d6e-4667-b625-a581908f4a7d/download","source":{"id":"https://openalex.org/S4306401926","display_name":"Document Server@UHasselt (UHasselt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I878454856","host_organization_name":"Hasselt University","host_organization_lineage":["https://openalex.org/I878454856"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.4041718542575836,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W6944289835.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,122],"complex":[1],"event":[2,30],"processing":[3],"(CEP),":[4],"queries":[5,43,77,112,117],"are":[6],"evaluated":[7],"continuously":[8],"over":[9],"streams":[10],"of":[11,16,40,48,56,59,70,83,101,144,184],"events":[12],"to":[13,108,127,152,181,187],"detect":[14],"situations":[15],"interest,":[17,60],"thereby":[18],"facilitating":[19],"reactive":[20],"applications.":[21],"However,":[22],"users":[23,66],"often":[24],"lack":[25],"insights":[26],"into":[27],"the":[28,34,38,41,57,68,71,76,84,97,102,110,116,129,145,157,161,177],"precise":[29],"pattern":[31],"that":[32,78,171],"characterizes":[33],"situation,":[35],"which":[36],"renders":[37],"definition":[39,69],"respective":[42],"challenging.":[44],"Once":[45],"a":[46,54,80,90,141,188],"database":[47,98,159],"finite,":[49],"historic":[50],"streams,":[51,86],"each":[52],"containing":[53],"materialization":[55],"situation":[58],"is":[61],"available,":[62],"query":[63,136,174],"discovery":[64,175],"supports":[65],"in":[67,96,119,156],"desired":[72],"queries.":[73],"It":[74],"constructs":[75],"match":[79],"certain":[81],"share":[82],"given":[85],"as":[87],"determined":[88],"by":[89,132,179],"support":[91,103,163],"threshold.":[92,164],"Yet,":[93],"upon":[94],"changes":[95,100,155],"or":[99,160],"threshold,":[104],"existing":[105],"algorithms":[106],"need":[107],"construct":[109],"resulting":[111,130],"from":[113],"scratch,":[114],"neglecting":[115],"obtained":[118],"previous":[120],"runs.":[121],"this":[123],"paper,":[124],"we":[125],"aim":[126],"avoid":[128],"inefficiencies":[131],"techniques":[133],"for":[134],"incremental":[135,173],"discovery.":[137],"We":[138],"first":[139],"provide":[140],"theoretical":[142],"analysis":[143],"problem":[146],"context,":[147],"before":[148],"presenting":[149],"algorithmic":[150],"solutions":[151],"cope":[153],"with":[154],"stream":[158],"adopted":[162],"Our":[165],"experiments":[166],"using":[167],"real-world":[168],"data":[169],"show":[170],"our":[172],"reduces":[176],"runtimes":[178],"up":[180],"three":[182],"orders":[183],"magnitude":[185],"compared":[186],"baseline":[189],"solution.":[190]},"counts_by_year":[],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2025-10-10T00:00:00"}