{"id":"https://openalex.org/W2986189480","doi":"https://doi.org/10.1145/3360322.3360866","title":"Sequential Learning with Active Partial Labeling for Building Metadata","display_name":"Sequential Learning with Active Partial Labeling for Building Metadata","publication_year":2019,"publication_date":"2019-11-05","ids":{"openalex":"https://openalex.org/W2986189480","doi":"https://doi.org/10.1145/3360322.3360866","mag":"2986189480"},"language":"en","primary_location":{"id":"doi:10.1145/3360322.3360866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3360322.3360866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3360322.3360866","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3360322.3360866","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085660877","display_name":"Lin L\u00fc","orcid":"https://orcid.org/0000-0002-2803-6297"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Lin","raw_affiliation_strings":["Department of Computer Science, University of Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070891305","display_name":"Zheng Luo","orcid":"https://orcid.org/0000-0003-1497-9208"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Luo","raw_affiliation_strings":["Department of Computer Science, University of Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088730125","display_name":"Dezhi Hong","orcid":"https://orcid.org/0000-0001-5224-6043"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dezhi Hong","raw_affiliation_strings":["Department of Computer Science, University of Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["Department of Computer Science, University of Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9994999766349792,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9994999766349792,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.9207143783569336},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.8289607763290405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8002288341522217},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6566894054412842},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6556015610694885},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6287529468536377},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.617901086807251},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5753836631774902},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5197674632072449},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5134781002998352},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47646450996398926},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4490703344345093},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4174864590167999},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4162575602531433},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4031241536140442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33345192670822144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3320607841014862},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17855659127235413}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.9207143783569336},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.8289607763290405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8002288341522217},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6566894054412842},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6556015610694885},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6287529468536377},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.617901086807251},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5753836631774902},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5197674632072449},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5134781002998352},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47646450996398926},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4490703344345093},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4174864590167999},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4162575602531433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4031241536140442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33345192670822144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3320607841014862},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17855659127235413},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3360322.3360866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3360322.3360866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3360322.3360866","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1567729","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1567729","pdf_url":"https://www.osti.gov/servlets/purl/1567729","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"doi:10.1145/3360322.3360866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3360322.3360866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3360322.3360866","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3148437413","display_name":"III: Small: Cyber Physical Mappings - Empower Building Analytics at Scale","funder_award_id":"1718216","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G399263676","display_name":null,"funder_award_id":"IIS-171821","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5811515021","display_name":null,"funder_award_id":"IIS-1718216","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7730204185","display_name":null,"funder_award_id":"EE0008227","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2986189480.pdf","grobid_xml":"https://content.openalex.org/works/W2986189480.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1980244409","https://openalex.org/W2004763266","https://openalex.org/W2147880316","https://openalex.org/W2171671120","https://openalex.org/W2240240997","https://openalex.org/W2296252615","https://openalex.org/W2547405038","https://openalex.org/W2902108420","https://openalex.org/W2903045549"],"related_works":["https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"Modern":[0],"buildings":[1,146],"are":[2],"instrumented":[3],"with":[4,28,51],"thousands":[5],"of":[6,19,55,114],"sensing":[7],"and":[8,26,59,93,103,147],"control":[9],"points.":[10],"The":[11],"ability":[12],"to":[13,34,69,78,99,118],"automatically":[14],"extract":[15],"the":[16,23,32,56,71,86,95,101,108,121,134,155],"physical":[17],"context":[18],"each":[20],"point,":[21],"e.g.,":[22],"type,":[24],"location,":[25],"relationship":[27],"other":[29],"points,":[30],"is":[31,43],"key":[33],"enabling":[35],"building":[36,57],"analytics":[37],"at":[38],"scale.":[39],"However,":[40],"this":[41,65],"process":[42,92],"costly":[44],"as":[45,88],"it":[46],"usually":[47],"requires":[48],"domain":[49,137],"expertise":[50],"a":[52,89,112],"deep":[53],"understanding":[54],"system":[58],"its":[60],"point":[61,126],"naming":[62],"scheme.":[63],"In":[64],"study,":[66],"we":[67],"aim":[68],"reduce":[70],"human":[72,129],"effort":[73],"required":[74],"for":[75,128],"mapping":[76,153],"sensors":[77],"their":[79],"context,":[80],"i.e.,":[81],"metadata":[82,152],"mapping.":[83],"We":[84,110,139],"formulate":[85],"problem":[87],"sequential":[90],"labeling":[91],"use":[94],"conditional":[96],"random":[97],"field":[98],"exploit":[100],"regular":[102],"dependent":[104],"structures":[105],"observed":[106,148],"in":[107,125,151],"metadata.":[109],"develop":[111],"suite":[113],"active":[115],"learning":[116],"strategies":[117],"adaptively":[119],"select":[120],"most":[122],"informative":[123],"subsequences":[124],"names":[127],"labeling,":[130],"which":[131],"significantly":[132],"reduces":[133],"inputs":[135],"from":[136,154],"experts.":[138],"evaluated":[140],"our":[141],"approach":[142],"on":[143],"three":[144],"different":[145],"encouraging":[149],"performance":[150],"proposed":[156],"solution.":[157]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}