{"id":"https://openalex.org/W3008614899","doi":"https://doi.org/10.1109/tsc.2020.2974741","title":"Social-Sensor Composition for Tapestry Scenes","display_name":"Social-Sensor Composition for Tapestry Scenes","publication_year":2020,"publication_date":"2020-02-18","ids":{"openalex":"https://openalex.org/W3008614899","doi":"https://doi.org/10.1109/tsc.2020.2974741","mag":"3008614899"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2020.2974741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2020.2974741","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Services Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.13684","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tooba Aamir","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tooba Aamir","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hai Dong","orcid":"https://orcid.org/0000-0002-7033-5688"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hai Dong","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":null,"display_name":"Athman Bouguettaya","orcid":"https://orcid.org/0000-0003-1254-8092"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Athman Bouguettaya","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":0.5889,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68131137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"15","issue":"2","first_page":"1059","last_page":"1073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.3260999917984009,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.3260999917984009,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.08150000125169754,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.05000000074505806,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/leverage","display_name":"Leverage (statistics)","score":0.6696000099182129},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6496999859809875},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5005999803543091},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4973999857902527},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48489999771118164},{"id":"https://openalex.org/keywords/composition","display_name":"Composition (language)","score":0.43779999017715454},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4260999858379364},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.41019999980926514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299000263214111},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6696000099182129},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6496999859809875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5182999968528748},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4973999857902527},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4885999858379364},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48489999771118164},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4260999858379364},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.36410000920295715},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3538999855518341},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C53605480","wikidata":"https://www.wikidata.org/wiki/Q852595","display_name":"Geotagging","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.27810001373291016},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2766000032424927}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsc.2020.2974741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2020.2974741","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Services Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2003.13684","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.13684","pdf_url":"https://arxiv.org/pdf/2003.13684","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:alma.61RMIT_INST:11254547690001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TSC.2020.2974741","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.13684","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.13684","pdf_url":"https://arxiv.org/pdf/2003.13684","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3008614899.pdf","grobid_xml":"https://content.openalex.org/works/W3008614899.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W146073307","https://openalex.org/W1774499654","https://openalex.org/W1793148911","https://openalex.org/W1883248133","https://openalex.org/W2002517322","https://openalex.org/W2009662901","https://openalex.org/W2028749076","https://openalex.org/W2043732461","https://openalex.org/W2048905470","https://openalex.org/W2055665526","https://openalex.org/W2094381533","https://openalex.org/W2097085727","https://openalex.org/W2101461267","https://openalex.org/W2105443543","https://openalex.org/W2115338299","https://openalex.org/W2129352331","https://openalex.org/W2129368140","https://openalex.org/W2134446283","https://openalex.org/W2138226387","https://openalex.org/W2140840648","https://openalex.org/W2146076383","https://openalex.org/W2151103935","https://openalex.org/W2170813329","https://openalex.org/W2239659875","https://openalex.org/W2404720139","https://openalex.org/W2599436010","https://openalex.org/W2754745969","https://openalex.org/W2766042000","https://openalex.org/W2793109577","https://openalex.org/W2899756295","https://openalex.org/W2913429812","https://openalex.org/W4240390637","https://openalex.org/W6636975626","https://openalex.org/W6697645084","https://openalex.org/W6736893961"],"related_works":[],"abstract_inverted_index":{"The":[0,52,87],"extensive":[1],"use":[2],"of":[3,10,25,46,63,113,115,123,146,171],"social":[4,35],"media":[5,36],"platforms":[6],"and":[7,19,49,60,66,93,111,135,139,148],"overwhelming":[8],"amounts":[9],"imagery":[11],"data":[12],"creates":[13],"unique":[14],"opportunities":[15],"for":[16,43,84,142],"sensing,":[17],"gathering":[18],"sharing":[20],"information":[21],"about":[22],"events.":[23],"One":[24],"its":[26],"potential":[27],"applications":[28],"is":[29],"to":[30,38,80,96,103,152,167],"leverage":[31],"<italic":[32],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[33],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">crowdsourced</i>":[34],"images":[37,65,92],"create":[39],"a":[40,72,124,133,144],"tapestry":[41,82],"scene":[42,44,68,85],"analysis":[45],"designated":[47],"locations":[48],"time":[50],"intervals.":[51],"existing":[53],"attempts":[54],"however":[55],"ignore":[56],"the":[57,64,154,169,172],"temporal-semantic":[58],"relevance":[59],"spatio-temporal":[61,137],"evolution":[62],"direction-oriented":[67],"reconstruction.":[69],"We":[70],"propose":[71],"novel":[73],"social-sensor":[74],"cloud":[75],"(SocSen)":[76],"service":[77],"composition":[78],"approach":[79,141],"form":[81],"scenes":[83],"analysis.":[86],"novelty":[88],"lies":[89,130],"in":[90],"utilising":[91],"image":[94,100,117],"meta-information":[95],"bypass":[97],"expensive":[98],"traditional":[99],"processing":[101],"techniques":[102],"reconstruct":[104],"scenes.":[105],"Metadata,":[106],"such":[107],"as":[108,120],"geolocation,":[109],"time,":[110],"angle":[112],"view":[114],"an":[116],"are":[118,165],"modelled":[119],"non-functional":[121],"attributes":[122],"SocSen":[125,157],"service.":[126],"Our":[127],"major":[128],"contribution":[129],"on":[131,162],"proposing":[132],"context":[134],"direction-aware":[136],"clustering":[138],"recommendation":[140],"selecting":[143],"set":[145],"temporally":[147],"semantically":[149],"similar":[150],"services":[151],"compose":[153],"best":[155],"available":[156],"services.":[158],"Analytical":[159],"results":[160],"based":[161],"real":[163],"datasets":[164],"presented":[166],"demonstrate":[168],"performance":[170],"proposed":[173],"approach.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2020-03-06T00:00:00"}
