{"id":"https://openalex.org/W1657763066","doi":"https://doi.org/10.1109/iwcmc.2015.7289084","title":"Distributional semantics and unsupervised clustering for sensor relevancy prediction","display_name":"Distributional semantics and unsupervised clustering for sensor relevancy prediction","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1657763066","doi":"https://doi.org/10.1109/iwcmc.2015.7289084","mag":"1657763066"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2015.7289084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2015.7289084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5045266906","display_name":"Myriam Leggieri","orcid":null},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Myriam Leggieri","raw_affiliation_strings":["Insight Centre for Data Analytics, National University of Ireland, Galway","Insight Centre for Data Analytics National, University of Ireland, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, National University of Ireland, Galway","institution_ids":["https://openalex.org/I188760350"]},{"raw_affiliation_string":"Insight Centre for Data Analytics National, University of Ireland, Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064395265","display_name":"Brian Davis","orcid":"https://orcid.org/0000-0002-5759-2655"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Brian Davis","raw_affiliation_strings":["Insight Centre for Data Analytics, National University of Ireland, Galway","Insight Centre for Data Analytics National, University of Ireland, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, National University of Ireland, Galway","institution_ids":["https://openalex.org/I188760350"]},{"raw_affiliation_string":"Insight Centre for Data Analytics National, University of Ireland, Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090996360","display_name":"John G. Breslin","orcid":"https://orcid.org/0000-0001-5790-050X"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"John G. Breslin","raw_affiliation_strings":["Insight Centre for Data Analytics, National University of Ireland, Galway","Insight Centre for Data Analytics National, University of Ireland, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, National University of Ireland, Galway","institution_ids":["https://openalex.org/I188760350"]},{"raw_affiliation_string":"Insight Centre for Data Analytics National, University of Ireland, Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045266906"],"corresponding_institution_ids":["https://openalex.org/I188760350"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04146988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8291386365890503},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6978134512901306},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6471259593963623},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.47082144021987915},{"id":"https://openalex.org/keywords/logging","display_name":"Logging","score":0.4698430895805359},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4622281491756439},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.45056241750717163},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.45005983114242554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4395497739315033},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4150303602218628},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3463454842567444},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.332683801651001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3236575126647949},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11232095956802368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8291386365890503},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6978134512901306},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6471259593963623},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.47082144021987915},{"id":"https://openalex.org/C125620115","wikidata":"https://www.wikidata.org/wiki/Q845249","display_name":"Logging","level":2,"score":0.4698430895805359},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4622281491756439},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.45056241750717163},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.45005983114242554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4395497739315033},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4150303602218628},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3463454842567444},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.332683801651001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3236575126647949},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11232095956802368},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2015.7289084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2015.7289084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1496163732","https://openalex.org/W1662133657","https://openalex.org/W1674565011","https://openalex.org/W1984067531","https://openalex.org/W2034541289","https://openalex.org/W2051167698","https://openalex.org/W2107284210","https://openalex.org/W2120779048","https://openalex.org/W2145419312","https://openalex.org/W2394894667","https://openalex.org/W2402700873","https://openalex.org/W2521425361","https://openalex.org/W2912486915","https://openalex.org/W6636851519","https://openalex.org/W6678039958","https://openalex.org/W6712219008","https://openalex.org/W6713265279"],"related_works":["https://openalex.org/W2373969208","https://openalex.org/W2578023326","https://openalex.org/W2800852182","https://openalex.org/W2177102068","https://openalex.org/W60557881","https://openalex.org/W4205713785","https://openalex.org/W1972416716","https://openalex.org/W3016766501","https://openalex.org/W2901033488","https://openalex.org/W2129700183"],"abstract_inverted_index":{"The":[0],"logging":[1,23,118,156],"of":[2,4,37,47,58,99,148,157,166,172,178,190,197],"Activities":[3],"Daily":[5],"Living":[6],"(ADLs)":[7],"is":[8,81,90],"becoming":[9],"increasingly":[10],"popular":[11],"mainly":[12,28],"thanks":[13],"to":[14,73,91,101,194],"wearable":[15],"devices.":[16],"Currently,":[17],"most":[18],"sensors":[19,109,149,152],"used":[20],"for":[21,83,112,141],"ADLs":[22,117],"are":[24,110],"queried":[25],"and":[26,31,61,104,128,144,168,183,193,206],"filtered":[27],"by":[29,95,106,119,181],"location":[30],"time.":[32],"However,":[33],"in":[34,154],"an":[35,163,169],"Internet":[36],"Things":[38],"future,":[39],"a":[40,44,79,138,200],"query":[41],"will":[42,53,68],"return":[43],"large":[45],"amount":[46,98],"sensor":[48,80],"data.":[49],"Therefore,":[50],"existing":[51],"approaches":[52],"not":[54],"be":[55,69],"feasible":[56],"because":[57],"resource":[59],"constraints":[60],"performance":[62],"issues.":[63],"Hence":[64],"more":[65],"fine-grained":[66],"queries":[67],"necessary.":[70],"We":[71,132],"propose":[72],"filter":[74],"on":[75,121],"the":[76,84,97,116,151,155,176,179,188],"likelihood":[77],"that":[78],"relevant":[82,111],"currently":[85],"sensed":[86],"activity.":[87],"Our":[88,160],"aim":[89],"improve":[92],"system":[93,136],"efficiency":[94],"reducing":[96],"data":[100],"query,":[102],"store":[103],"process":[105],"identifying":[107],"which":[108],"different":[113],"activities":[114],"during":[115],"relying":[120],"Distributional":[122],"Semantics":[123],"over":[124,137],"public":[125,139],"text":[126],"corpora":[127],"unsupervised":[129],"hierarchical":[130],"clustering.":[131],"have":[133],"evaluated":[134],"our":[135,146,191,198],"dataset":[140],"activity":[142],"recognition":[143],"compared":[145],"clusters":[147],"with":[150],"involved":[153],"manually-annotated":[158],"activities.":[159],"results":[161],"show":[162],"average":[164],"precision":[165],"89%":[167],"overall":[170],"accuracy":[171],"69%,":[173],"thus":[174],"outperforming":[175],"state":[177],"art":[180],"5%":[182],"32%":[184],"respectively.":[185],"To":[186],"support":[187],"uptake":[189],"approach":[192],"allow":[195],"replication":[196],"experiments,":[199],"Web":[201],"service":[202],"has":[203],"been":[204],"developed":[205],"open":[207],"sourced.":[208]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}