{"id":"https://openalex.org/W2008657551","doi":"https://doi.org/10.1145/2247596.2247683","title":"Knowing","display_name":"Knowing","publication_year":2012,"publication_date":"2012-03-27","ids":{"openalex":"https://openalex.org/W2008657551","doi":"https://doi.org/10.1145/2247596.2247683","mag":"2008657551"},"language":"en","primary_location":{"id":"doi:10.1145/2247596.2247683","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2247596.2247683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Extending Database Technology","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/A5112476855","display_name":"Tom Bernecker","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"T. Bernecker","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Oettingenstra\u00dfe, M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Oettingenstra\u00dfe, M\u00fcnchen","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078859026","display_name":"Franz Graf","orcid":"https://orcid.org/0009-0002-1709-7307"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"F. Graf","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Oettingenstra\u00dfe, M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Oettingenstra\u00dfe, M\u00fcnchen","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110215305","display_name":"H.-P. Kriegel","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H.-P. Kriegel","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Oettingenstra\u00dfe, M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Oettingenstra\u00dfe, M\u00fcnchen","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041599079","display_name":"Nepumuk Seiler","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"N. Seiler","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Oettingenstra\u00dfe, M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Oettingenstra\u00dfe, M\u00fcnchen","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042828266","display_name":"C. T\u00fcrmer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152224","display_name":"Heinz Nixdorf Stiftung","ror":"https://ror.org/04j2tkk21","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210152224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. T\u00fcrmer","raw_affiliation_strings":["Heinz-Nixdorf-Lehrstuhl f\u00fcr Medizinische, Elektronik, TU M\u00fcnchen, Theresienstra\u00dfe, M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Heinz-Nixdorf-Lehrstuhl f\u00fcr Medizinische, Elektronik, TU M\u00fcnchen, Theresienstra\u00dfe, M\u00fcnchen","institution_ids":["https://openalex.org/I4210152224"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080225706","display_name":"David D. Dill","orcid":"https://orcid.org/0000-0001-6111-1917"},"institutions":[{"id":"https://openalex.org/I4210152224","display_name":"Heinz Nixdorf Stiftung","ror":"https://ror.org/04j2tkk21","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210152224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"D. Dill","raw_affiliation_strings":["Heinz-Nixdorf-Lehrstuhl f\u00fcr Medizinische, Elektronik, TU M\u00fcnchen, Theresienstra\u00dfe, M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Heinz-Nixdorf-Lehrstuhl f\u00fcr Medizinische, Elektronik, TU M\u00fcnchen, Theresienstra\u00dfe, M\u00fcnchen","institution_ids":["https://openalex.org/I4210152224"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112476855"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08569286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"630","last_page":"633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973000288009644,"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/T11106","display_name":"Data Management and Algorithms","score":0.9891999959945679,"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/computer-science","display_name":"Computer science","score":0.8392555713653564},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.635342001914978},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6221042275428772},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5984072685241699},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.44413483142852783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2692844867706299}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8392555713653564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.635342001914978},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6221042275428772},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5984072685241699},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.44413483142852783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2692844867706299},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2247596.2247683","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2247596.2247683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Extending Database Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3645676756","display_name":null,"funder_award_id":"01MQ07020","funder_id":"https://openalex.org/F4320321469","funder_display_name":"Bundesministerium f\u00fcr Wirtschaft und Technologie"}],"funders":[{"id":"https://openalex.org/F4320321469","display_name":"Bundesministerium f\u00fcr Wirtschaft und Technologie","ror":"https://ror.org/02vgg2808"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1554944210","https://openalex.org/W2133990480","https://openalex.org/W2135335717","https://openalex.org/W2135514714","https://openalex.org/W3003253354","https://openalex.org/W4403911719"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W2009888974","https://openalex.org/W2355539379","https://openalex.org/W2056341223","https://openalex.org/W4231410700"],"abstract_inverted_index":{"Extracting":[0],"knowledge":[1],"from":[2,25],"data":[3,22,42,53,69,103,139,148,183,195,209],"is,":[4],"in":[5,56],"most":[6],"cases,":[7],"not":[8,59,94],"restricted":[9,75],"to":[10,48,76,128,143,154],"the":[11,26,50,77,88,102,125,138,158,166,175,191,194,212],"analysis":[12,104,184],"itself":[13],"but":[14],"accompanied":[15],"by":[16,114,185],"preparation":[17],"and":[18,37,146,151,156,160,171,179,201,206],"post-processing":[19],"steps.":[20],"Handling":[21],"coming":[23],"directly":[24],"source,":[27],"e.":[28],"g.":[29],"a":[30,66,81,129],"sensor,":[31],"often":[32,74],"requires":[33],"preconditioning":[34],"like":[35],"parsing":[36],"removing":[38],"irrelevant":[39],"information":[40],"before":[41],"mining":[43,54,149,196,210],"algorithms":[44,79,86,113,205],"can":[45,173,199],"be":[46],"applied":[47],"analyze":[49,174],"data.":[51],"Stand-alone":[52],"frameworks":[55],"general":[57],"do":[58],"provide":[60],"such":[61],"components":[62],"since":[63],"they":[64,72],"require":[65],"specified":[67],"input":[68],"format.":[70],"Furthermore,":[71],"are":[73],"available":[78],"or":[80],"rapid":[82],"integration":[83],"of":[84,90,140,162,190,193],"new":[85],"for":[87,208],"purpose":[89],"quick":[91],"testing":[92],"is":[93,108],"possible.":[95],"To":[96],"address":[97],"this":[98,121],"shortcoming,":[99],"we":[100,123],"present":[101],"framework":[105,127],"Knowing,":[106],"which":[107],"easily":[109],"extendible":[110],"with":[111],"additional":[112],"using":[115,186],"an":[116,187],"OSGi":[117],"compliant":[118],"architecture.":[119],"In":[120,165],"demonstration,":[122],"apply":[124],"Knowing":[126],"medical":[130],"monitoring":[131],"system":[132],"recording":[133],"physical":[134,163],"activity.":[135],"We":[136],"use":[137,168],"3D":[141],"accelerometers":[142],"detect":[144],"activities":[145],"perform":[147,180],"techniques":[150],"motion":[152],"detection":[153],"classify":[155],"evaluate":[157,202],"quality":[159],"amount":[161],"activities.":[164],"presented":[167],"case,":[169],"patients":[170],"physicians":[172],"daily":[176],"activity":[177],"processes":[178],"long":[181],"term":[182],"aggregated":[188],"view":[189],"results":[192],"process.":[197],"Developers":[198],"integrate":[200],"newly":[203],"developed":[204],"methods":[207],"on":[211],"recorded":[213],"database.":[214]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
