{"id":"https://openalex.org/W2554211417","doi":"https://doi.org/10.1109/etfa.2016.7733539","title":"Context modeling with situation rules for industrial maintenance","display_name":"Context modeling with situation rules for industrial maintenance","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2554211417","doi":"https://doi.org/10.1109/etfa.2016.7733539","mag":"2554211417"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2016.7733539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2016.7733539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","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/A5010257419","display_name":"Pekka Aarnio","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Pekka Aarnio","raw_affiliation_strings":["Department of Electrical Engineering and Automation, Aalto University Otaniementie, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Automation, Aalto University Otaniementie, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008070913","display_name":"Valeriy Vyatkin","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Valeriy Vyatkin","raw_affiliation_strings":["Department of Electrical Engineering and Automation, Aalto University Otaniementie, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Automation, Aalto University Otaniementie, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032501526","display_name":"David H\u00e4stbacka","orcid":"https://orcid.org/0000-0001-8442-1248"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"David Hastbacka","raw_affiliation_strings":["Department of Automation Science and Engineering, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Automation Science and Engineering, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010257419"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":3.8563,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94437699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9957000017166138,"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/T11719","display_name":"Data Quality and Management","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9754999876022339,"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/computer-science","display_name":"Computer science","score":0.8226597309112549},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7070976495742798},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.6876555681228638},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4700804054737091},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.46988749504089355},{"id":"https://openalex.org/keywords/semantic-reasoner","display_name":"Semantic reasoner","score":0.4340447187423706},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.4201645851135254},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.40753233432769775},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.40369656682014465},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.401662141084671},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34014928340911865},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.2650485038757324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16765594482421875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226597309112549},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7070976495742798},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.6876555681228638},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4700804054737091},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.46988749504089355},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.4340447187423706},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.4201645851135254},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.40753233432769775},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.40369656682014465},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.401662141084671},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34014928340911865},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2650485038757324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16765594482421875},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/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/etfa.2016.7733539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2016.7733539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W20960968","https://openalex.org/W189393260","https://openalex.org/W317369944","https://openalex.org/W1537023251","https://openalex.org/W1967661515","https://openalex.org/W1968381481","https://openalex.org/W1972532648","https://openalex.org/W1996002647","https://openalex.org/W2017274092","https://openalex.org/W2018858334","https://openalex.org/W2019730838","https://openalex.org/W2037968567","https://openalex.org/W2039797436","https://openalex.org/W2042808087","https://openalex.org/W2045512417","https://openalex.org/W2068849277","https://openalex.org/W2071585849","https://openalex.org/W2116817369","https://openalex.org/W2120262132","https://openalex.org/W2134410277","https://openalex.org/W2152267651","https://openalex.org/W2153074717","https://openalex.org/W2192265835","https://openalex.org/W2295604924","https://openalex.org/W4395108524","https://openalex.org/W6642462196","https://openalex.org/W6682241852","https://openalex.org/W6687625874","https://openalex.org/W6865362114"],"related_works":["https://openalex.org/W2615202182","https://openalex.org/W4206665951","https://openalex.org/W2529794967","https://openalex.org/W2904139343","https://openalex.org/W2604011835","https://openalex.org/W3139465322","https://openalex.org/W2484233589","https://openalex.org/W2528203718","https://openalex.org/W4241483715","https://openalex.org/W1903695886"],"abstract_inverted_index":{"Industrial":[0],"maintenance":[1,36,56,122],"requires":[2],"not":[3],"only":[4],"experienced":[5],"service":[6],"personnel":[7,57],"to":[8,27,54],"carry":[9],"out":[10],"the":[11,18,29,78,115],"tasks":[12,30],"but":[13],"also":[14],"up-to-date":[15],"information":[16,25,59],"about":[17],"target":[19],"equipment":[20],"and":[21,45,92,108],"its":[22,81],"environment.":[23],"Accessing":[24],"required":[26],"execute":[28],"is":[31,80,117],"a":[32,41,46,50,120],"common":[33],"challenge":[34],"for":[35],"personnel.":[37],"This":[38],"paper":[39],"presents":[40],"knowledge":[42,87,130],"modeling":[43],"approach":[44,79,98,116],"technical":[47],"architecture":[48],"of":[49,77,86,114],"gateway":[51,131],"system":[52],"developed":[53],"support":[55],"with":[58,72,119],"combined":[60],"from":[61,68],"legacy":[62],"data":[63],"sources":[64],"as":[65,67],"well":[66],"context":[69],"ontology":[70,95],"augmented":[71],"situational":[73],"knowledge.":[74],"The":[75,97],"novelty":[76],"unified":[82],"object":[83],"oriented":[84],"style":[85],"representation":[88],"encapsulating":[89],"predefined":[90],"queries":[91],"rules":[93],"into":[94],"classes.":[96],"utilizes":[99],"standard":[100],"Semantic":[101],"Web":[102],"technologies,":[103],"especially":[104],"SPARQL":[105,109],"query":[106],"language":[107],"Inferencing":[110],"Notation":[111],"SPIN.":[112],"Feasibility":[113],"demonstrated":[118],"simple":[121],"use":[123],"case":[124],"example":[125],"executed":[126],"in":[127],"an":[128],"experimental":[129],"system.":[132]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
