{"id":"https://openalex.org/W4403487806","doi":"https://doi.org/10.3233/faia240713","title":"Big-Thick Data Generation via Reference and Personal Context Unification","display_name":"Big-Thick Data Generation via Reference and Personal Context Unification","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403487806","doi":"https://doi.org/10.3233/faia240713"},"language":"en","primary_location":{"id":"doi:10.3233/faia240713","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240713","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240713","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240713","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001227032","display_name":"Fausto Giunchiglia","orcid":"https://orcid.org/0000-0002-5903-6150"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Fausto Giunchiglia","raw_affiliation_strings":["Information Engineering and Computer Science, University of Trento, Italy, fausto.giunchiglia@unitn.it, xiaoyue.li@unitn.it"],"affiliations":[{"raw_affiliation_string":"Information Engineering and Computer Science, University of Trento, Italy, fausto.giunchiglia@unitn.it, xiaoyue.li@unitn.it","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032142779","display_name":"Xiaoyue Li","orcid":"https://orcid.org/0000-0002-0100-0016"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Xiaoyue Li","raw_affiliation_strings":["Information Engineering and Computer Science, University of Trento, Italy, fausto.giunchiglia@unitn.it, xiaoyue.li@unitn.it"],"affiliations":[{"raw_affiliation_string":"Information Engineering and Computer Science, University of Trento, Italy, fausto.giunchiglia@unitn.it, xiaoyue.li@unitn.it","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001227032"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.8768,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82104317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9725000262260437,"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":0.9725000262260437,"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/unification","display_name":"Unification","score":0.8242239952087402},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5315463542938232},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.49474284052848816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45705413818359375},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.20814496278762817},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11353811621665955},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07536473870277405},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.0607430636882782}],"concepts":[{"id":"https://openalex.org/C96146094","wikidata":"https://www.wikidata.org/wiki/Q609057","display_name":"Unification","level":2,"score":0.8242239952087402},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5315463542938232},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.49474284052848816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45705413818359375},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.20814496278762817},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11353811621665955},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07536473870277405},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0607430636882782}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia240713","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240713","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240713","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:iris.unitn.it:11572/437988","is_oa":true,"landing_page_url":"https://ebooks.iospress.nl/doi/10.3233/FAIA240713","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.3233/faia240713","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240713","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240713","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403487806.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2367630557","https://openalex.org/W101666983","https://openalex.org/W2183792531","https://openalex.org/W2595286499","https://openalex.org/W2794344379","https://openalex.org/W2489197555","https://openalex.org/W2471908688"],"abstract_inverted_index":{"Smart":[0],"devices":[1],"generate":[2],"vast":[3],"amounts":[4],"of":[5,12,20,23,112,119,147,161,196,206],"big":[6],"data,":[7],"mainly":[8],"in":[9,37,70,152],"the":[10,18,51,83,113,116,133,164,168,179,184,192,210,215],"form":[11],"sensor":[13],"data.":[14],"While":[15],"allowing":[16,157],"for":[17,82,102,158,174],"prediction":[19],"many":[21,153],"aspects":[22],"human":[24],"behaviour":[25,166],"(e.g.,":[26],"physical":[27],"activities,":[28],"transportation":[29],"modes),":[30],"this":[31,91],"data":[32,84,100,130,195,216],"has":[33],"a":[34,64,187,204],"major":[35],"limitation":[36],"that":[38,43,143,190],"it":[39,45,55],"is":[40],"not":[41,47],"thick,":[42],"is,":[44],"does":[46],"carry":[48],"information":[49],"about":[50,163],"context":[52,137,148,212],"within":[53],"which":[54,71],"was":[56,61],"generated.":[57],"Context":[58],"\u2013":[59,74],"what":[60],"accomplished":[62],"by":[63,131,218],"user,":[65,106],"how":[66],"and":[67,69,88,104,115,138,167,199],"why,":[68],"overall":[72],"situation":[73],"all":[75],"these":[76,144],"factors":[77],"must":[78],"be":[79,86,150],"explicitly":[80],"represented":[81],"to":[85,178],"self-explanatory":[87],"meaningful.":[89],"In":[90],"paper,":[92],"we":[93],"introduce":[94],"Big-Thick":[95],"Data":[96],"as":[97,125],"highly":[98],"contextualized":[99],"encoding,":[101],"each":[103],"every":[105],"both":[107],"her":[108],"subjective":[109],"personal":[110,136,193],"view":[111,118],"world":[114,169],"objective":[117],"an":[120],"all-observing":[121],"third":[122],"party":[123],"taken":[124],"reference.":[126],"We":[127,141,182],"model":[128,185],"big-thick":[129,194],"enforcing":[132],"distinction":[134],"between":[135],"reference":[139,211],"context.":[140],"show":[142],"two":[145],"types":[146,160],"can":[149],"unified":[151],"different":[154,159,176],"ways,":[155],"thus":[156],"questions":[162],"users\u2019":[165],"around":[170],"them":[171],"and,":[172],"also,":[173],"multiple":[175],"answers":[177],"same":[180],"question.":[181],"validate":[183],"with":[186,209],"case":[188],"study":[189],"integrates":[191],"one":[197],"hundred":[198],"fifty-eight":[200],"University":[201],"students":[202],"over":[203],"period":[205],"four":[207],"weeks":[208],"built":[213],"using":[214],"provided":[217],"OpenStreetMap.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}