{"id":"https://openalex.org/W2286169472","doi":"https://doi.org/10.1109/iecon.2015.7392233","title":"Understanding building operation from semantic context","display_name":"Understanding building operation from semantic context","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2286169472","doi":"https://doi.org/10.1109/iecon.2015.7392233","mag":"2286169472"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2015.7392233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2015.7392233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069005357","display_name":"Anika Schumann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anika Schumann","raw_affiliation_strings":["IBM Research Smarter Cities Technology Centre, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Smarter Cities Technology Centre, Dublin, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068119108","display_name":"Joern Ploennigs","orcid":"https://orcid.org/0000-0002-6320-8891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joern Ploennigs","raw_affiliation_strings":["IBM Research Smarter Cities Technology Centre, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Smarter Cities Technology Centre, Dublin, Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100760114","display_name":"Bei Chen","orcid":"https://orcid.org/0000-0002-8033-8102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bei Chen","raw_affiliation_strings":["IBM Research Smarter Cities Technology Centre, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Smarter Cities Technology Centre, Dublin, Ireland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6755","issue":null,"first_page":"001020","last_page":"001025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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/T11309","display_name":"Music and Audio Processing","score":0.9980000257492065,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8369688987731934},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7022461891174316},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6325905323028564},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6288682818412781},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.555841863155365},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5460746884346008},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4393547773361206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38122430443763733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3419959545135498},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.08684799075126648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07888209819793701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8369688987731934},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7022461891174316},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6325905323028564},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6288682818412781},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.555841863155365},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5460746884346008},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4393547773361206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38122430443763733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3419959545135498},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.08684799075126648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07888209819793701},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2015.7392233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2015.7392233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1902027874","https://openalex.org/W1975220287","https://openalex.org/W1984903275","https://openalex.org/W2007987866","https://openalex.org/W2017032467","https://openalex.org/W2017805562","https://openalex.org/W2048292587","https://openalex.org/W2085487226","https://openalex.org/W2085737706","https://openalex.org/W2090124646","https://openalex.org/W2097747115","https://openalex.org/W2101631710","https://openalex.org/W2108323654","https://openalex.org/W2110893883","https://openalex.org/W2111263072","https://openalex.org/W2150836960","https://openalex.org/W2170648111","https://openalex.org/W3021193785","https://openalex.org/W3169372665","https://openalex.org/W4253636695","https://openalex.org/W6628750762","https://openalex.org/W6671656955"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2140798747","https://openalex.org/W2393816671","https://openalex.org/W2083665254"],"abstract_inverted_index":{"Understanding":[0],"the":[1,32,69,75,79,98,108,137],"operation":[2,103],"of":[3,35,47,66,139],"a":[4,19],"building":[5,36,102,113],"is":[6,18],"key":[7],"for":[8,23,120],"improving":[9],"it":[10],"and":[11,90,127],"reducing":[12],"energy":[13],"waste.":[14],"However,":[15],"today":[16],"this":[17,43,83],"mostly":[20],"manual":[21,70],"task":[22,44],"which":[24,78,101],"domain":[25],"experts":[26],"use":[27],"visual":[28],"tools":[29],"to":[30,41,55],"analyze":[31],"large":[33],"amounts":[34,65],"data.":[37,67],"We":[38,115],"show":[39,91],"how":[40,92],"automate":[42],"by":[45,106],"means":[46],"pattern":[48,122],"extraction":[49,123],"techniques.":[50],"These":[51],"allow":[52],"human":[53],"operators":[54],"simply":[56],"consider":[57],"well":[58],"defined":[59],"data":[60,135],"patterns":[61,80,104],"rather":[62],"than":[63],"vast":[64],"Here":[68],"effort":[71],"consists":[72],"in":[73,77,100],"identifying":[74],"context":[76,99],"occur.":[81],"In":[82],"paper":[84],"we":[85,93],"go":[86],"one":[87],"step":[88],"further":[89],"can":[94],"automatically":[95],"derive":[96],"also":[97],"occur":[105],"considering":[107],"influencing":[109],"factor":[110],"that":[111],"govern":[112],"operation.":[114],"have":[116],"evaluated":[117],"our":[118,140],"approach":[119],"two":[121],"methods:":[124],"matrix":[125],"factorization":[126],"clustering.":[128],"Our":[129],"experimental":[130],"results":[131],"using":[132],"real":[133],"world":[134],"demonstrate":[136],"applicability":[138],"work.":[141]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}