{"id":"https://openalex.org/W2119881438","doi":"https://doi.org/10.1177/0165551512437635","title":"Vector space model for patent documents with hierarchical class labels","display_name":"Vector space model for patent documents with hierarchical class labels","publication_year":2012,"publication_date":"2012-03-15","ids":{"openalex":"https://openalex.org/W2119881438","doi":"https://doi.org/10.1177/0165551512437635","mag":"2119881438"},"language":"en","primary_location":{"id":"doi:10.1177/0165551512437635","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551512437635","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-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/A5059627035","display_name":"Yen\u2010Liang Chen","orcid":"https://orcid.org/0000-0002-0121-5658"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Liang Chen","raw_affiliation_strings":["National Central University, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University, ROC","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101946608","display_name":"Yu\u2010Ting Chiu","orcid":"https://orcid.org/0000-0001-7130-5141"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ting Chiu","raw_affiliation_strings":["National Central University, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University, ROC","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":2.5982,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90685929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"38","issue":"3","first_page":"222","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10856","display_name":"Intellectual Property and Patents","score":0.9829999804496765,"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":0.9829999804496765,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7690793871879578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575399875640869},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6733936667442322},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6197742819786072},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.5897362232208252},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5727837085723877},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5693497657775879},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5538126230239868},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5369147658348083},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5316527485847473},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48839229345321655},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.476574182510376},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46341508626937866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.369907945394516}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7690793871879578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575399875640869},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6733936667442322},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6197742819786072},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.5897362232208252},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5727837085723877},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5693497657775879},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5538126230239868},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5369147658348083},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5316527485847473},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48839229345321655},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.476574182510376},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46341508626937866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.369907945394516},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551512437635","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551512437635","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W80463681","https://openalex.org/W272790547","https://openalex.org/W585685877","https://openalex.org/W961659484","https://openalex.org/W1487232999","https://openalex.org/W1532325895","https://openalex.org/W1565377632","https://openalex.org/W1660390307","https://openalex.org/W1956559956","https://openalex.org/W1966536018","https://openalex.org/W1977315409","https://openalex.org/W1978394996","https://openalex.org/W2016121066","https://openalex.org/W2018679652","https://openalex.org/W2024228866","https://openalex.org/W2059773269","https://openalex.org/W2062418945","https://openalex.org/W2073844507","https://openalex.org/W2077818115","https://openalex.org/W2084319893","https://openalex.org/W2085937320","https://openalex.org/W2093098531","https://openalex.org/W2107585977","https://openalex.org/W2109535575","https://openalex.org/W2122124389","https://openalex.org/W2140190241","https://openalex.org/W2152953875","https://openalex.org/W2165612380","https://openalex.org/W2292178252","https://openalex.org/W2325227998","https://openalex.org/W2331991109","https://openalex.org/W2485247574","https://openalex.org/W3119603699","https://openalex.org/W4232980324"],"related_works":["https://openalex.org/W2510961579","https://openalex.org/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W156213964","https://openalex.org/W2050960118","https://openalex.org/W2063335787","https://openalex.org/W1990330161","https://openalex.org/W2064695035","https://openalex.org/W2541512317","https://openalex.org/W2372520056"],"abstract_inverted_index":{"A":[0],"vector":[1],"space":[2],"model":[3],"(VSM)":[4],"composed":[5],"of":[6,56,99,108],"selected":[7,146,161],"important":[8],"features":[9,90,144,159],"is":[10,39,60,112],"a":[11,57,71,76,97,141,148,156,163],"common":[12,43],"way":[13],"to":[14,30,41,86,95,116],"represent":[15],"documents,":[16,125],"including":[17],"patent":[18,46,58,100,124],"documents.":[19],"Patent":[20],"documents":[21,47,101,118],"have":[22],"some":[23],"special":[24],"characteristics":[25],"that":[26,74,140],"make":[27],"it":[28,38],"difficult":[29,40],"apply":[31],"traditional":[32],"feature":[33,78],"selection":[34,79,150,165],"methods":[35],"directly:":[36],"(a)":[37],"find":[42],"terms":[44,130],"for":[45],"in":[48,66],"different":[49],"categories;":[50],"and":[51,122,134],"(b)":[52],"the":[53,109],"class":[54,104],"label":[55],"document":[59],"hierarchical":[61,77,103],"rather":[62],"than":[63],"flat.":[64],"Hence,":[65],"this":[67],"article":[68],"we":[69,127],"propose":[70],"new":[72],"approach":[73],"includes":[75],"(HFS)":[80],"algorithm":[81],"which":[82],"can":[83],"be":[84],"used":[85],"select":[87],"more":[88],"representative":[89],"with":[91,102,120,162],"greater":[92],"discriminative":[93],"ability":[94],"present":[96],"set":[98],"labels.":[105],"The":[106,136],"performance":[107],"proposed":[110],"method":[111],"evaluated":[113],"through":[114],"application":[115],"two":[117],"sets":[119],"2400":[121],"9600":[123],"where":[126],"extract":[128],"candidate":[129],"from":[131],"their":[132],"titles":[133],"abstracts.":[135],"experimental":[137],"results":[138],"reveal":[139],"VSM":[142,157],"whose":[143,158],"are":[145,160],"by":[147],"proportional":[149],"process":[151,166],"gives":[152,167],"better":[153],"coverage,":[154],"while":[155],"weighted-summed":[164],"higher":[168],"accuracy.":[169]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}