{"id":"https://openalex.org/W2338851960","doi":"https://doi.org/10.1109/percomw.2016.7457108","title":"PLOMaR: An ontology framework for context modeling and reasoning on crowd-sensing platform","display_name":"PLOMaR: An ontology framework for context modeling and reasoning on crowd-sensing platform","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2338851960","doi":"https://doi.org/10.1109/percomw.2016.7457108","mag":"2338851960"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2016.7457108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2016.7457108","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 Pervasive Computing and Communication Workshops (PerCom 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/A5061624415","display_name":"Yogesh Jagadeesan","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yogesh Jagadeesan","raw_affiliation_strings":["Department of Computer Science, Rochester Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090846864","display_name":"Peizhao Hu","orcid":"https://orcid.org/0000-0001-7260-6325"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peizhao Hu","raw_affiliation_strings":["Department of Computer Science, Rochester Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032959798","display_name":"Carlos R. Rivero","orcid":"https://orcid.org/0000-0002-5770-950X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos R. Rivero","raw_affiliation_strings":["Department of Computer Science, Rochester Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061624415"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01990367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8411848545074463},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.8203141689300537},{"id":"https://openalex.org/keywords/json","display_name":"JSON","score":0.7345849871635437},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6798943281173706},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.5703217387199402},{"id":"https://openalex.org/keywords/interoperability","display_name":"Interoperability","score":0.5588807463645935},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5063601732254028},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46367785334587097},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.4282955229282379},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.410235196352005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3645384907722473},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.36204004287719727},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3612353801727295},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.357714980840683},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3507746756076813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8411848545074463},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.8203141689300537},{"id":"https://openalex.org/C2780416260","wikidata":"https://www.wikidata.org/wiki/Q2063","display_name":"JSON","level":2,"score":0.7345849871635437},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6798943281173706},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5703217387199402},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.5588807463645935},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5063601732254028},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46367785334587097},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.4282955229282379},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.410235196352005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3645384907722473},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.36204004287719727},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3612353801727295},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.357714980840683},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3507746756076813},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomw.2016.7457108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2016.7457108","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 Pervasive Computing and Communication Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332641","display_name":"University at Buffalo","ror":"https://ror.org/01y64my43"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1510817841","https://openalex.org/W1967661515","https://openalex.org/W1968381481","https://openalex.org/W1972883649","https://openalex.org/W1985936078","https://openalex.org/W1991713242","https://openalex.org/W2000773008","https://openalex.org/W2008423330","https://openalex.org/W2011175518","https://openalex.org/W2102802363","https://openalex.org/W2116817369","https://openalex.org/W2120262132","https://openalex.org/W2138129943","https://openalex.org/W2152267651","https://openalex.org/W2169699849","https://openalex.org/W2503419842","https://openalex.org/W6630582740","https://openalex.org/W6643489861","https://openalex.org/W6682241852","https://openalex.org/W6725321949"],"related_works":["https://openalex.org/W2799114782","https://openalex.org/W2615202182","https://openalex.org/W4206665951","https://openalex.org/W3085073370","https://openalex.org/W2529794967","https://openalex.org/W2904139343","https://openalex.org/W2978246852","https://openalex.org/W2604011835","https://openalex.org/W2528203718","https://openalex.org/W4243630814"],"abstract_inverted_index":{"Crowd-sensing":[0],"is":[1,23,71,85],"a":[2,45],"popular":[3],"way":[4],"to":[5,55,102,118,142,156],"sense":[6],"and":[7,16,38,64,107,129,160],"collect":[8],"data":[9,70,81,113,123,132,140],"using":[10],"smartphones":[11],"that":[12,50,98],"reveals":[13],"user":[14,63],"behaviors":[15],"their":[17],"correlations":[18],"with":[19,173],"device":[20],"performance.":[21],"PhoneLab":[22,69,148],"one":[24],"of":[25,47,77,131,146],"the":[26,32,61,65,68,121,147,152,154,161,179],"largest":[27],"crowd-sensing":[28],"platform":[29],"based":[30,177],"on":[31,178],"Android":[33],"system.":[34],"Through":[35],"experimental":[36],"instrumentations":[37],"system":[39],"modifications,":[40],"researchers":[41,104],"can":[42,51],"tap":[43],"into":[44],"sea":[46],"insightful":[48],"information":[49,59,106,110],"be":[52],"further":[53],"processed":[54],"reveal":[56],"valuable":[57],"context":[58],"about":[60],"device,":[62],"environment.":[66],"However,":[67],"in":[72,82],"JSON":[73,155],"format.":[74],"The":[75,115],"process":[76],"inferring":[78],"reasons":[79],"from":[80,134],"this":[83,89],"format":[84],"not":[86],"straightforward.":[87],"In":[88],"paper,":[90],"we":[91],"introduce":[92],"PLOMaR":[93],"-":[94],"an":[95],"ontology":[96],"framework":[97,172],"uses":[99],"SPARQL":[100,162],"rules":[101,163],"help":[103],"access":[105],"derive":[108],"new":[109,167],"without":[111],"complex":[112],"processing.":[114],"goals":[116],"are":[117],"(i)":[119],"make":[120],"measurement":[122],"more":[124],"accessible,":[125],"(ii)":[126],"increase":[127],"interoperability":[128],"reusability":[130],"gathered":[133],"different":[135],"sources,":[136],"(iii)":[137],"develop":[138],"extensible":[139],"representation":[141],"support":[143],"future":[144],"development":[145],"platform.":[149],"We":[150,169],"describe":[151],"models,":[153],"RDF":[157],"mapping":[158],"processes,":[159],"used":[164],"for":[165],"deriving":[166],"information.":[168],"evaluate":[170],"our":[171],"three":[174],"application":[175],"examples":[176],"sample":[180],"dataset":[181],"provided.":[182]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}