{"id":"https://openalex.org/W2888951116","doi":"https://doi.org/10.1109/icphm.2018.8448708","title":"PANDA - Discovering Part Name in Noisy Text Data","display_name":"PANDA - Discovering Part Name in Noisy Text Data","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2888951116","doi":"https://doi.org/10.1109/icphm.2018.8448708","mag":"2888951116"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2018.8448708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5111822537","display_name":"Anne Kao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115859","display_name":"Behavioral Tech Research, Inc.","ror":"https://ror.org/02843s885","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210115859"]},{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anne Kao","raw_affiliation_strings":["Boeing Research and Technology, Seattle, Washington and Huntsville, Alabama, USA"],"affiliations":[{"raw_affiliation_string":"Boeing Research and Technology, Seattle, Washington and Huntsville, Alabama, USA","institution_ids":["https://openalex.org/I4210115859","https://openalex.org/I1295339012"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027498880","display_name":"Nobal B. Niraula","orcid":"https://orcid.org/0000-0002-3980-1302"},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]},{"id":"https://openalex.org/I4210115859","display_name":"Behavioral Tech Research, Inc.","ror":"https://ror.org/02843s885","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210115859"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nobal B Niraula","raw_affiliation_strings":["Boeing Research and Technology, Seattle, Washington and Huntsville, Alabama, USA"],"affiliations":[{"raw_affiliation_string":"Boeing Research and Technology, Seattle, Washington and Huntsville, Alabama, USA","institution_ids":["https://openalex.org/I1295339012","https://openalex.org/I4210115859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060206136","display_name":"Daniel Whyatt","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115859","display_name":"Behavioral Tech Research, Inc.","ror":"https://ror.org/02843s885","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210115859"]},{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Whyatt","raw_affiliation_strings":["Boeing Research and Technology, Seattle, Washington and Huntsville, Alabama, USA"],"affiliations":[{"raw_affiliation_string":"Boeing Research and Technology, Seattle, Washington and Huntsville, Alabama, USA","institution_ids":["https://openalex.org/I4210115859","https://openalex.org/I1295339012"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.184,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.492655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9983,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9978,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.50110054},{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.45627207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80078727},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.6376341},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.63243514},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5161999},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.50110054},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.48759168},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.45627207},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45184824},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.44765508},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.44145572},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43188298},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3996144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34782004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32210812},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18571344},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12941954},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2018.8448708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1584713052","https://openalex.org/W1732623802","https://openalex.org/W1999595522","https://openalex.org/W2003499201","https://openalex.org/W2081580037","https://openalex.org/W2081687495","https://openalex.org/W2093812930","https://openalex.org/W2114663556","https://openalex.org/W2115461474","https://openalex.org/W2116261113","https://openalex.org/W2136848157","https://openalex.org/W2147880316","https://openalex.org/W2341421701"],"related_works":["https://openalex.org/W4386567722","https://openalex.org/W3213192587","https://openalex.org/W3182014137","https://openalex.org/W2535730979","https://openalex.org/W2466930957","https://openalex.org/W2370073012","https://openalex.org/W2310476526","https://openalex.org/W2168646784","https://openalex.org/W2144291498","https://openalex.org/W2030958945"],"abstract_inverted_index":{"Part":[0,12],"identification":[1],"plays":[2],"a":[3,100,112],"key":[4],"role":[5],"in":[6,21,27,47,54,78,111,119],"vehicle":[7,137],"prognostics":[8],"and":[9,19,35,39,67,73,91,107,128,130],"health":[10,138],"management.":[11,139],"identifiers":[13],"are":[14,51],"often":[15],"expressed":[16],"as":[17],"nomenclature":[18],"buried":[20],"noisy":[22,55,120],"free":[23,56,121],"text":[24],"data":[25,80],"found":[26],"maintenance":[28],"reports,":[29],"supply":[30],"chain":[31],"management":[32],"records,":[33],"service":[34],"support":[36],"communication":[37],"logs,":[38],"manufacturing":[40],"quality":[41],"data.":[42],"There":[43],"is":[44,125],"little":[45],"consistency":[46],"how":[48],"part":[49,117],"names":[50,118],"actually":[52],"described":[53],"text,":[57],"with":[58],"variations":[59],"spawned":[60],"by":[61],"typos,":[62],"ad":[63],"hoc":[64],"abbreviations,":[65],"acronyms,":[66],"incomplete":[68],"names.":[69],"This":[70],"makes":[71],"search":[72],"analysis":[74,135],"of":[75,136],"parts":[76],"involved":[77],"this":[79,84],"extremely":[81],"challenging.":[82],"In":[83],"paper,":[85],"we":[86],"will":[87],"discuss":[88],"our":[89],"method":[90,102],"tool":[92],"PANDA":[93],"(PArt":[94],"Name":[95],"Discovery":[96],"Analytics),":[97],"based":[98],"on":[99],"unique":[101,113],"that":[103],"exploits":[104],"statistical,":[105],"linguistic":[106],"machine":[108],"learning":[109],"techniques":[110],"way":[114],"to":[115],"discover":[116],"text.":[122],"The":[123],"algorithm":[124],"very":[126],"scalable":[127],"efficient,":[129],"provides":[131],"actionable":[132],"results":[133],"for":[134]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2888951116","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-07T15:04:43.682236","created_date":"2018-09-07"}