{"id":"https://openalex.org/W3047377019","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156147","title":"Towards Automated Generation of Semantic Annotation for Activity Recognition Problems","display_name":"Towards Automated Generation of Semantic Annotation for Activity Recognition Problems","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3047377019","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156147","mag":"3047377019"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications 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/A5055405987","display_name":"Kristina Yordanova","orcid":"https://orcid.org/0000-0002-6428-1062"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Kristina Yordanova","raw_affiliation_strings":["Department of Visual and Analytic Computing, Department of Computer Science, University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Visual and Analytic Computing, Department of Computer Science, University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055405987"],"corresponding_institution_ids":["https://openalex.org/I4665924"],"apc_list":null,"apc_paid":null,"fwci":0.5862,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68941991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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":0.9973000288009644,"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":0.9973000288009644,"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/T10028","display_name":"Topic Modeling","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8702729940414429},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.8111112117767334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6211742758750916},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6058302521705627},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5571639537811279},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5080466270446777},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.49869561195373535},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49764254689216614},{"id":"https://openalex.org/keywords/semantic-annotation","display_name":"Semantic annotation","score":0.496142715215683},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.46902716159820557},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4331662058830261},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43138325214385986},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3806998133659363},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.1971084475517273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8702729940414429},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.8111112117767334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6211742758750916},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6058302521705627},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5571639537811279},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5080466270446777},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.49869561195373535},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49764254689216614},{"id":"https://openalex.org/C2985727698","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Semantic annotation","level":3,"score":0.496142715215683},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.46902716159820557},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4331662058830261},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43138325214385986},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3806998133659363},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.1971084475517273},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W100554921","https://openalex.org/W105287674","https://openalex.org/W175241348","https://openalex.org/W195360844","https://openalex.org/W290408451","https://openalex.org/W326763573","https://openalex.org/W1515845301","https://openalex.org/W1530655603","https://openalex.org/W1557681950","https://openalex.org/W1562099273","https://openalex.org/W1846332620","https://openalex.org/W1998867973","https://openalex.org/W2023286866","https://openalex.org/W2081580037","https://openalex.org/W2087163675","https://openalex.org/W2109462874","https://openalex.org/W2111526438","https://openalex.org/W2178225550","https://openalex.org/W2293816024","https://openalex.org/W2319569133","https://openalex.org/W2404161517","https://openalex.org/W2772596966","https://openalex.org/W2794410164","https://openalex.org/W2797658023","https://openalex.org/W2888255003","https://openalex.org/W2888972189","https://openalex.org/W2896642929","https://openalex.org/W2912161220","https://openalex.org/W3121854931","https://openalex.org/W4285719527","https://openalex.org/W4301311593","https://openalex.org/W6607048995","https://openalex.org/W6607818437","https://openalex.org/W6630684240","https://openalex.org/W6631889272","https://openalex.org/W6676462645","https://openalex.org/W6676947618","https://openalex.org/W6696878658","https://openalex.org/W6712931686","https://openalex.org/W6789125224"],"related_works":["https://openalex.org/W1965623300","https://openalex.org/W3134365128","https://openalex.org/W2541135911","https://openalex.org/W2369337446","https://openalex.org/W2126412646","https://openalex.org/W2359259132","https://openalex.org/W2624542985","https://openalex.org/W4387489691","https://openalex.org/W2103835134","https://openalex.org/W3016822073"],"abstract_inverted_index":{"Ground":[0],"truth":[1],"is":[2,9,62,169],"essential":[3],"for":[4,21,59,108,130,140],"activity":[5,60],"recognition":[6,28,61],"problems.":[7],"It":[8],"used":[10],"to":[11,17,25,40,80,153],"apply":[12],"methods":[13],"of":[14,50,56,71,104],"supervised":[15],"learning,":[16],"provide":[18,100],"context":[19],"information":[20],"knowledge-based":[22],"methods,":[23],"and":[24,43,73,111,163],"quantify":[26],"the":[27,41,47,51,77,105,117,131,141],"performance.":[29],"Semantic":[30],"annotation":[31,58,109,129,139],"extends":[32],"simple":[33],"symbolic":[34,97],"labelling":[35],"by":[36],"assigning":[37],"semantic":[38,48,57,82,91,128,138],"meaning":[39],"label":[42],"enables":[44],"reasoning":[45],"about":[46],"structure":[49],"observed":[52],"activity.":[53],"The":[54,144],"development":[55,168],"a":[63,69,101],"time":[64,78,162],"consuming":[65],"task,":[66],"which":[67],"involves":[68],"lot":[70],"effort":[72],"expertise.":[74],"To":[75,120],"reduce":[76],"needed":[79],"develop":[81],"annotation,":[83],"we":[84,112,124],"propose":[85],"an":[86],"approach":[87,123],"that":[88,147],"automatically":[89,126,148],"generates":[90],"models":[92,150,156],"based":[93],"on":[94],"manually":[95,154],"assigned":[96],"labels.":[98],"We":[99],"detailed":[102],"description":[103],"automated":[106],"process":[107],"generation":[110],"discuss":[113],"how":[114],"it":[115,158],"replaces":[116],"manual":[118,137],"process.":[119],"validate":[121],"our":[122],"compare":[125],"generated":[127,149],"CMU":[132],"grand":[133],"challenge":[134],"dataset":[135],"with":[136],"same":[142],"dataset.":[143],"results":[145],"show":[146],"are":[151],"comparable":[152],"developed":[155],"but":[157],"takes":[159],"much":[160],"less":[161],"no":[164],"expertise":[165],"in":[166],"model":[167],"required.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
