{"id":"https://openalex.org/W2553687924","doi":"https://doi.org/10.1109/seconw.2016.7746804","title":"Automating Analytics: How to Learn Metadata Such That Our Buildings Can Learn from Us","display_name":"Automating Analytics: How to Learn Metadata Such That Our Buildings Can Learn from Us","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2553687924","doi":"https://doi.org/10.1109/seconw.2016.7746804","mag":"2553687924"},"language":"en","primary_location":{"id":"doi:10.1109/seconw.2016.7746804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seconw.2016.7746804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","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/A5068119108","display_name":"Joern Ploennigs","orcid":"https://orcid.org/0000-0002-6320-8891"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Joern Ploennigs","raw_affiliation_strings":["IBM Res., Dublin, Ireland","IBM Research, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Res., Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]},{"raw_affiliation_string":"IBM Research, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068119108"],"corresponding_institution_ids":["https://openalex.org/I4210145784"],"apc_list":null,"apc_paid":null,"fwci":0.8686,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78357978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9864000082015991,"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":0.9864000082015991,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9860000014305115,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9790999889373779,"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/metadata","display_name":"Metadata","score":0.9476001858711243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8322254419326782},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6946436166763306},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6579031944274902},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5379010438919067},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5268118381500244},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5206612348556519},{"id":"https://openalex.org/keywords/metadata-modeling","display_name":"Metadata modeling","score":0.4821612238883972},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4548214077949524},{"id":"https://openalex.org/keywords/metadata-repository","display_name":"Metadata repository","score":0.3948495388031006},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.324271559715271},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12762755155563354}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.9476001858711243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8322254419326782},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6946436166763306},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6579031944274902},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5379010438919067},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5268118381500244},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5206612348556519},{"id":"https://openalex.org/C110326360","wikidata":"https://www.wikidata.org/wiki/Q17149476","display_name":"Metadata modeling","level":4,"score":0.4821612238883972},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4548214077949524},{"id":"https://openalex.org/C153048206","wikidata":"https://www.wikidata.org/wiki/Q3454922","display_name":"Metadata repository","level":3,"score":0.3948495388031006},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.324271559715271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12762755155563354},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/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/seconw.2016.7746804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seconw.2016.7746804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","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":40,"referenced_works":["https://openalex.org/W136038965","https://openalex.org/W337999198","https://openalex.org/W632601026","https://openalex.org/W1505837402","https://openalex.org/W1966373131","https://openalex.org/W1970117337","https://openalex.org/W1984220394","https://openalex.org/W1985148591","https://openalex.org/W1985328975","https://openalex.org/W1991101674","https://openalex.org/W2001230460","https://openalex.org/W2003272624","https://openalex.org/W2023385333","https://openalex.org/W2095174935","https://openalex.org/W2102802363","https://openalex.org/W2107881331","https://openalex.org/W2114623221","https://openalex.org/W2121810937","https://openalex.org/W2122383661","https://openalex.org/W2123572748","https://openalex.org/W2129723351","https://openalex.org/W2150836960","https://openalex.org/W2159646926","https://openalex.org/W2169239645","https://openalex.org/W2173213060","https://openalex.org/W2189465200","https://openalex.org/W2215358404","https://openalex.org/W2232711724","https://openalex.org/W2240240997","https://openalex.org/W2280440205","https://openalex.org/W2293145190","https://openalex.org/W2294281991","https://openalex.org/W2295123408","https://openalex.org/W2296252615","https://openalex.org/W2338037132","https://openalex.org/W2341319064","https://openalex.org/W2559251536","https://openalex.org/W6605536922","https://openalex.org/W6687322159","https://openalex.org/W6695375903"],"related_works":["https://openalex.org/W3084772717","https://openalex.org/W1773645839","https://openalex.org/W2380261968","https://openalex.org/W3122624872","https://openalex.org/W3198863654","https://openalex.org/W2907247951","https://openalex.org/W2136226335","https://openalex.org/W2796209520","https://openalex.org/W2018424284","https://openalex.org/W2366936177"],"abstract_inverted_index":{"Automated":[0],"analytics":[1,76],"are":[2],"the":[3,9,16,26,78],"only":[4],"way":[5],"to":[6,38,73],"cope":[7],"with":[8],"big":[10],"amount":[11],"of":[12,18,51,80],"data":[13],"created":[14],"by":[15],"internet":[17],"things":[19],"in":[20,42],"future.":[21],"Good":[22],"metadata":[23,45,59],"such":[24],"as":[25],"device":[27],"type,":[28],"sensor":[29],"semantics,":[30],"its":[31],"location":[32],"and":[33,67],"functional":[34],"context":[35],"is":[36,46,50,60],"essential":[37],"do":[39],"this.":[40],"But,":[41],"many":[43],"cases":[44],"missing":[47],"or":[48],"it":[49,63,69],"poor":[52],"quality":[53],"itself.":[54],"The":[55],"paper":[56],"explores":[57],"what":[58],"relevant,":[61],"how":[62,68],"can":[64,70],"be":[65,71],"reconstructed":[66],"used":[72],"automatically":[74],"deploy":[75],"at":[77],"example":[79],"Cognitive":[81],"Buildings.":[82]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}