{"id":"https://openalex.org/W2963659766","doi":"https://doi.org/10.1109/access.2019.2909123","title":"Patent Analytics Based on Feature Vector Space Model: A Case of IoT","display_name":"Patent Analytics Based on Feature Vector Space Model: A Case of IoT","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2963659766","doi":"https://doi.org/10.1109/access.2019.2909123","mag":"2963659766"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2909123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2909123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08681129.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08681129.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100381347","display_name":"Lei Lei","orcid":"https://orcid.org/0000-0002-2577-6644"},"institutions":[{"id":"https://openalex.org/I86467917","display_name":"James Cook University","ror":"https://ror.org/04gsp2c11","country_code":"AU","type":"education","lineage":["https://openalex.org/I86467917"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Lei","raw_affiliation_strings":["College of Science and Engineering, James Cook University, Townsville, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, James Cook University, Townsville, QLD, Australia","institution_ids":["https://openalex.org/I86467917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002286785","display_name":"Jiaju Qi","orcid":"https://orcid.org/0000-0001-9633-9161"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaju Qi","raw_affiliation_strings":["Intelligent Computing and Communication (IC2) Laboratory, Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computing and Communication (IC2) Laboratory, Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412656","display_name":"Kan Zheng","orcid":"https://orcid.org/0000-0002-8531-6762"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Zheng","raw_affiliation_strings":["Intelligent Computing and Communication (IC2) Laboratory, Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8531-6762","affiliations":[{"raw_affiliation_string":"Intelligent Computing and Communication (IC2) Laboratory, Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":10.8677,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.98109046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"45705","last_page":"45715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10856","display_name":"Intellectual Property and Patents","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10856","display_name":"Intellectual Property and Patents","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9093999862670898,"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":0.7842309474945068},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6605663299560547},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6558904647827148},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.5481139421463013},{"id":"https://openalex.org/keywords/patent-visualisation","display_name":"Patent visualisation","score":0.5464800596237183},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5443527102470398},{"id":"https://openalex.org/keywords/patent-application","display_name":"Patent application","score":0.5087726712226868},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4974100887775421},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4584048092365265},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4463738203048706},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44064953923225403},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43954694271087646},{"id":"https://openalex.org/keywords/patent-analysis","display_name":"Patent analysis","score":0.4280391335487366},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4206398129463196},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4198974370956421},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3343733549118042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3305237591266632},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33034712076187134},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09355369210243225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842309474945068},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6605663299560547},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6558904647827148},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.5481139421463013},{"id":"https://openalex.org/C114419676","wikidata":"https://www.wikidata.org/wiki/Q6505871","display_name":"Patent visualisation","level":2,"score":0.5464800596237183},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5443527102470398},{"id":"https://openalex.org/C2779534841","wikidata":"https://www.wikidata.org/wiki/Q3022019","display_name":"Patent application","level":2,"score":0.5087726712226868},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4974100887775421},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4584048092365265},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4463738203048706},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44064953923225403},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43954694271087646},{"id":"https://openalex.org/C2778029865","wikidata":"https://www.wikidata.org/wiki/Q25110998","display_name":"Patent analysis","level":2,"score":0.4280391335487366},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4206398129463196},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4198974370956421},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3343733549118042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3305237591266632},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33034712076187134},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09355369210243225},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2909123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2909123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08681129.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d694d305a9d44375b4b4f3d85da7670b","is_oa":true,"landing_page_url":"https://doaj.org/article/d694d305a9d44375b4b4f3d85da7670b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 45705-45715 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2909123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2909123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08681129.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5188485752","display_name":null,"funder_award_id":"XTCX201828","funder_id":"https://openalex.org/F4320321470","funder_display_name":"Beijing University of Posts and Telecommunications"},{"id":"https://openalex.org/G8570501091","display_name":"\u9762\u5411\u6d77\u91cf\u8fde\u63a5\u7684\u9ad8\u6548\u65e0\u7ebf\u8d44\u6e90\u4f18\u5316\u7b56\u7565\u7814\u7a76","funder_award_id":"61671089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963659766.pdf","grobid_xml":"https://content.openalex.org/works/W2963659766.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W105748137","https://openalex.org/W201558245","https://openalex.org/W1832693441","https://openalex.org/W1984187922","https://openalex.org/W2059773269","https://openalex.org/W2068496370","https://openalex.org/W2083776263","https://openalex.org/W2106116881","https://openalex.org/W2117130368","https://openalex.org/W2131571251","https://openalex.org/W2134295053","https://openalex.org/W2165612380","https://openalex.org/W2258775358","https://openalex.org/W2287986182","https://openalex.org/W2288737075","https://openalex.org/W2346090656","https://openalex.org/W2415480377","https://openalex.org/W2520981676","https://openalex.org/W2538959687","https://openalex.org/W2552664943","https://openalex.org/W2595075141","https://openalex.org/W2767080450","https://openalex.org/W2767482400","https://openalex.org/W2794195769","https://openalex.org/W2795126147","https://openalex.org/W2884001105","https://openalex.org/W2962714198","https://openalex.org/W6604307987","https://openalex.org/W6704796580"],"related_works":["https://openalex.org/W2022689113","https://openalex.org/W2549510717","https://openalex.org/W2377713783","https://openalex.org/W1526590935","https://openalex.org/W2312956190","https://openalex.org/W4311325190","https://openalex.org/W2029646946","https://openalex.org/W2375068088","https://openalex.org/W2367961441","https://openalex.org/W2529458085"],"abstract_inverted_index":{"The":[0,25,131,176],"number":[1],"of":[2,90,133,162,174],"approved":[3],"patents":[4,142,157],"worldwide":[5],"increases":[6],"rapidly":[7],"each":[8,36],"year,":[9],"which":[10,192],"requires":[11],"new":[12],"patent":[13,57,68,84,105,119,138,145,148,184],"analytics":[14,58,106],"to":[15,22,39,66,70,83,98,121,159,168,187],"efficiently":[16],"mine":[17],"the":[18,74,100,113,123,160,170],"valuable":[19],"information":[20,47],"attached":[21],"these":[23],"patents.":[24],"vector":[26],"space":[27],"model":[28],"(VSM)":[29],"represents":[30],"documents":[31,69,120],"as":[32,62,88],"high-dimensional":[33],"vectors,":[34],"where":[35,112],"dimension":[37],"corresponds":[38],"a":[40,63],"unique":[41],"term.":[42],"While":[43],"originally":[44],"proposed":[45,177],"for":[46,135],"retrieval":[48],"systems,":[49],"VSM":[50,75,110],"has":[51],"also":[52],"seen":[53],"wide":[54],"applications":[55,132],"in":[56],"and":[59,93,147,172],"is":[60,115,166],"used":[61],"fundamental":[64],"tool":[65],"map":[67,149],"structured":[71],"data.":[72],"However,":[73],"method":[76],"suffers":[77],"from":[78],"several":[79],"limitations":[80],"when":[81],"applied":[82],"analysis":[85,139,185],"tasks,":[86,140],"such":[87],"loss":[89],"sentence-level":[91],"semantics":[92],"curse-of-dimensionality":[94],"problems.":[95],"In":[96],"order":[97],"address":[99],"above":[101],"limitations,":[102],"we":[103],"propose":[104],"based":[107,190],"on":[108,191],"feature":[109,122],"(FVSM),":[111],"FVSM":[114,134,178],"constructed":[116],"by":[117,126,182],"mapping":[118],"vectors":[124],"extracted":[125],"convolutional":[127],"neural":[128],"networks":[129],"(CNNs).":[130],"three":[136],"typical":[137],"i.e.,":[141],"similarity":[143],"comparison,":[144],"clustering,":[146],"generation,":[150],"are":[151],"discussed.":[152],"A":[153],"case":[154],"study":[155],"using":[156],"related":[158],"Internet":[161],"Things":[163],"(IoT)":[164],"technology":[165],"illustrated":[167],"demonstrate":[169],"performance":[171],"effectiveness":[173],"FVSM.":[175],"can":[179,198],"be":[180,199],"adopted":[181],"other":[183],"studies":[186],"replace":[188],"VSM,":[189],"various":[193],"big":[194],"data":[195],"learning":[196],"tasks":[197],"performed.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}