{"id":"https://openalex.org/W2137648679","doi":"https://doi.org/10.1109/percom.2011.5767588","title":"Interpretation of inconsistencies via context consistency diagrams","display_name":"Interpretation of inconsistencies via context consistency diagrams","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2137648679","doi":"https://doi.org/10.1109/percom.2011.5767588","mag":"2137648679"},"language":"en","primary_location":{"id":"doi:10.1109/percom.2011.5767588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2011.5767588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)","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/A5030949796","display_name":"Viktoriya Degeler","orcid":"https://orcid.org/0000-0001-7054-3770"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Viktoriya Degeler","raw_affiliation_strings":["Distributed Systems Group, Johann Bernoulli Institute, University of Groningam, Netherlands","Distributed Systems Group, Johann Bernoulli Institute, University of Groningen, Nijenborgh 9, 9747 AG, The Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"Distributed Systems Group, Johann Bernoulli Institute, University of Groningam, Netherlands","institution_ids":[]},{"raw_affiliation_string":"Distributed Systems Group, Johann Bernoulli Institute, University of Groningen, Nijenborgh 9, 9747 AG, The Netherlands#TAB#","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000217379","display_name":"Alexander Lazovik","orcid":"https://orcid.org/0000-0002-6337-1840"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alexander Lazovik","raw_affiliation_strings":["Distributed Systems Group, Johann Bernoulli Institute, University of Groningam, Netherlands","Distributed Systems Group, Johann Bernoulli Institute, University of Groningen, Nijenborgh 9, 9747 AG, The Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"Distributed Systems Group, Johann Bernoulli Institute, University of Groningam, Netherlands","institution_ids":[]},{"raw_affiliation_string":"Distributed Systems Group, Johann Bernoulli Institute, University of Groningen, Nijenborgh 9, 9747 AG, The Netherlands#TAB#","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030949796"],"corresponding_institution_ids":["https://openalex.org/I169381384"],"apc_list":null,"apc_paid":null,"fwci":0.7841,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76923235,"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":"20","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"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":0.9994000196456909,"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/T11106","display_name":"Data Management and Algorithms","score":0.9905999898910522,"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":0.9793000221252441,"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":0.7911372184753418},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7177441120147705},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6495827436447144},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6103702187538147},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5908188223838806},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5587204098701477},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5513654351234436},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5487849712371826},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5200740694999695},{"id":"https://openalex.org/keywords/ubiquitous-computing","display_name":"Ubiquitous computing","score":0.5049870610237122},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45512789487838745},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.44703638553619385},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.445305734872818},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4261816740036011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4103408753871918},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38583987951278687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34803661704063416},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.294564425945282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13106942176818848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0907670259475708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911372184753418},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7177441120147705},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6495827436447144},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6103702187538147},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5908188223838806},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5587204098701477},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5513654351234436},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5487849712371826},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5200740694999695},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.5049870610237122},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45512789487838745},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.44703638553619385},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.445305734872818},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4261816740036011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103408753871918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38583987951278687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34803661704063416},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.294564425945282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13106942176818848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0907670259475708},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percom.2011.5767588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2011.5767588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.rug.nl:openaire_cris_publications/ec003581-1aba-46f7-af9a-5b2ef830e785","is_oa":false,"landing_page_url":"https://research.rug.nl/en/publications/ec003581-1aba-46f7-af9a-5b2ef830e785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Degeler, V & Lazovik, A 2011, Interpretation of Inconsistencies via Context Consistency Diagrams. in 2011 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM 2011). IEEE (The Institute of Electrical and Electronics Engineers), NEW YORK, pp. 20-27, IEEE International Conference on Pervasive Computing and Communications (PerCom), 21/03/2011.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1513898149","https://openalex.org/W1754476191","https://openalex.org/W2064831234","https://openalex.org/W2089963951","https://openalex.org/W2120354570","https://openalex.org/W2121476983","https://openalex.org/W2127682237","https://openalex.org/W2136054002","https://openalex.org/W2141246182","https://openalex.org/W2144550310","https://openalex.org/W2157559977","https://openalex.org/W2167404850","https://openalex.org/W6681534161"],"related_works":["https://openalex.org/W1850639582","https://openalex.org/W2003145209","https://openalex.org/W2115177975","https://openalex.org/W2127845731","https://openalex.org/W2127178188","https://openalex.org/W2790909464","https://openalex.org/W2436001314","https://openalex.org/W2116169104","https://openalex.org/W2384195807","https://openalex.org/W1656433004"],"abstract_inverted_index":{"Pervasive":[0],"context-aware":[1,49,69],"systems":[2,20,70],"base":[3],"their":[4],"responses":[5],"on":[6],"information":[7,74],"about":[8,55,82,93,112],"the":[9,48,73,89,113,130],"environment":[10,84],"collected":[11,25],"from":[12,26,76],"ubiquitous":[13],"sensors.":[14],"The":[15,126],"inevitable":[16],"drawback":[17],"of":[18,58,115,120],"such":[19],"is":[21,28,133],"that":[22,51,129],"raw":[23],"data":[24],"sensors":[27,77],"often":[29],"noisy,":[30],"corrupted,":[31],"and":[32,39,99,123],"imprecise.":[33],"Erroneous":[34],"sensor":[35],"readings":[36],"create":[37],"uncertainties":[38],"ambiguous":[40],"interpretations.":[41],"Thus":[42],"creating":[43],"an":[44],"interpretation":[45],"challenge":[46],"for":[47,67],"system":[50],"needs":[52],"to":[53,71,79,91,100,110,135],"reason":[54,92,111],"possible":[56,83],"states":[57],"only":[59],"partially":[60],"observable":[61],"subjects.":[62],"We":[63,105],"propose":[64],"a":[65,94,107,121],"mechanism":[66],"pervasive":[68],"process":[72],"gathered":[75],"so":[78],"obtain":[80],"knowledge":[81,98],"states.":[85],"This":[86],"includes":[87],"both":[88],"ability":[90],"situation":[95],"with":[96,102],"incomplete":[97],"cope":[101],"erroneous":[103],"contexts.":[104],"present":[106],"probabilistic":[108],"approach":[109,132],"likelihood":[114],"each":[116],"particular":[117],"situation,":[118],"state":[119],"variable,":[122],"variable":[124],"interdependence.":[125],"evaluation":[127],"shows":[128],"proposed":[131],"applicable":[134],"real-time":[136],"context":[137],"inference":[138],"problems.":[139]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}