{"id":"https://openalex.org/W2804417060","doi":"https://doi.org/10.1007/s00799-018-0240-3","title":"Fusion architectures for automatic subject indexing under concept drift","display_name":"Fusion architectures for automatic subject indexing under concept drift","publication_year":2018,"publication_date":"2018-05-15","ids":{"openalex":"https://openalex.org/W2804417060","doi":"https://doi.org/10.1007/s00799-018-0240-3","mag":"2804417060"},"language":"en","primary_location":{"id":"doi:10.1007/s00799-018-0240-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00799-018-0240-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00799-018-0240-3.pdf","source":{"id":"https://openalex.org/S110615584","display_name":"International Journal on Digital Libraries","issn_l":"1432-1300","issn":["1432-1300","1432-5012"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Digital Libraries","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00799-018-0240-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080707671","display_name":"Martin Toepfer","orcid":null},"institutions":[{"id":"https://openalex.org/I2800024560","display_name":"ZBW \u2013 Leibniz-Informationszentrum Wirtschaft","ror":"https://ror.org/03a96gc12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800024560","https://openalex.org/I315704651"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Toepfer","raw_affiliation_strings":["ZBW \u2013 Leibniz Information Centre for Economics, D\u00fcsternbrooker Weg 120, 24105, Kiel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZBW \u2013 Leibniz Information Centre for Economics, D\u00fcsternbrooker Weg 120, 24105, Kiel, Germany","institution_ids":["https://openalex.org/I2800024560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054484216","display_name":"Christin Seifert","orcid":"https://orcid.org/0000-0002-6776-3868"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]},{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Christin Seifert","raw_affiliation_strings":["University of Passau, Innstra\u00dfe 43, 94032, Passau, Germany","University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Innstra\u00dfe 43, 94032, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080707671"],"corresponding_institution_ids":["https://openalex.org/I2800024560"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.5557,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76035178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"2","first_page":"169","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9987999796867371,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9930999875068665,"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/search-engine-indexing","display_name":"Search engine indexing","score":0.8600252270698547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8422026038169861},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.711513340473175},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5782842040061951},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.57179856300354},{"id":"https://openalex.org/keywords/automatic-indexing","display_name":"Automatic indexing","score":0.5253334045410156},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5188199877738953},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46174556016921997},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.42516955733299255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3689153492450714},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3218793272972107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27698588371276855},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13798469305038452}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8600252270698547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8422026038169861},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.711513340473175},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5782842040061951},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.57179856300354},{"id":"https://openalex.org/C2778330532","wikidata":"https://www.wikidata.org/wiki/Q4826577","display_name":"Automatic indexing","level":3,"score":0.5253334045410156},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5188199877738953},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46174556016921997},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.42516955733299255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3689153492450714},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3218793272972107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27698588371276855},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13798469305038452},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s00799-018-0240-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00799-018-0240-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00799-018-0240-3.pdf","source":{"id":"https://openalex.org/S110615584","display_name":"International Journal on Digital Libraries","issn_l":"1432-1300","issn":["1432-1300","1432-5012"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Digital Libraries","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/3c27156e-976d-4dd6-83f1-241304649130","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/3c27156e-976d-4dd6-83f1-241304649130","pdf_url":"https://ris.utwente.nl/ws/files/248044709/Toepfer2018fusion.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Toepfer, M & Seifert, C 2020, 'Fusion architectures for automatic subject indexing under concept drift : Analysis and empirical results on short texts' International journal on digital libraries, vol. 21, pp. 169\u2013189. https://doi.org/10.1007/s00799-018-0240-3","raw_type":"info:eu-repo/semantics/contributionToPeriodical"},{"id":"pmh:oai:ris.utwente.nl:publications/3c27156e-976d-4dd6-83f1-241304649130","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85046908072&partnerID=8YFLogxK","pdf_url":"https://ris.utwente.nl/ws/files/248044709/Toepfer2018fusion.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Toepfer, M & Seifert, C 2020, 'Fusion architectures for automatic subject indexing under concept drift : Analysis and empirical results on short texts' International journal on digital libraries, vol. 21, pp. 169\u2013189. https://doi.org/10.1007/s00799-018-0240-3","raw_type":"info:eu-repo/semantics/contributionToPeriodical"},{"id":"pmh:oai:pub.zbw.eu:11108/361","is_oa":false,"landing_page_url":"http://hdl.handle.net/11108/361","pdf_url":null,"source":{"id":"https://openalex.org/S4306402552","display_name":"ZBW Publication Archive (ZBW \u2013 Leibniz Information Centre for Economics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800024560","host_organization_name":"ZBW \u2013 Leibniz-Informationszentrum Wirtschaft","host_organization_lineage":["https://openalex.org/I2800024560"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doc-type:article"}],"best_oa_location":{"id":"doi:10.1007/s00799-018-0240-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00799-018-0240-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00799-018-0240-3.pdf","source":{"id":"https://openalex.org/S110615584","display_name":"International Journal on Digital Libraries","issn_l":"1432-1300","issn":["1432-1300","1432-5012"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Digital Libraries","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2804417060.pdf","grobid_xml":"https://content.openalex.org/works/W2804417060.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W124454490","https://openalex.org/W1466962934","https://openalex.org/W1550946299","https://openalex.org/W1645816215","https://openalex.org/W1907286193","https://openalex.org/W1907578970","https://openalex.org/W1936474088","https://openalex.org/W1980047209","https://openalex.org/W2000432130","https://openalex.org/W2012778301","https://openalex.org/W2019096529","https://openalex.org/W2029517229","https://openalex.org/W2030903088","https://openalex.org/W2046352419","https://openalex.org/W2057803903","https://openalex.org/W2099419573","https://openalex.org/W2103035252","https://openalex.org/W2113283043","https://openalex.org/W2116878278","https://openalex.org/W2117400858","https://openalex.org/W2118020653","https://openalex.org/W2150295085","https://openalex.org/W2180877453","https://openalex.org/W2194321275","https://openalex.org/W2197629079","https://openalex.org/W2403452307","https://openalex.org/W2417932737","https://openalex.org/W2515004532","https://openalex.org/W2740695301","https://openalex.org/W2750845122","https://openalex.org/W2753062871","https://openalex.org/W2903190209","https://openalex.org/W2912934387","https://openalex.org/W2963355221","https://openalex.org/W3100344990","https://openalex.org/W3125041755","https://openalex.org/W4212883601","https://openalex.org/W4246334968","https://openalex.org/W4248875918"],"related_works":["https://openalex.org/W204619012","https://openalex.org/W2398073981","https://openalex.org/W2008087111","https://openalex.org/W4247874641","https://openalex.org/W2051392313","https://openalex.org/W2081057833","https://openalex.org/W2025451713","https://openalex.org/W2062327384","https://openalex.org/W2168066506","https://openalex.org/W2044723465"],"abstract_inverted_index":{"Indexing":[0],"documents":[1],"with":[2,65,122],"controlled":[3],"vocabularies":[4],"enables":[5],"a":[6,197],"wealth":[7],"of":[8,19,34,72,78,110,118,140,145,168],"semantic":[9],"applications":[10],"for":[11,95,188],"digital":[12,182],"libraries.":[13],"Due":[14],"to":[15,184],"the":[16,38,76,111,138,143,146,159],"rapid":[17],"growth":[18],"scientific":[20],"publications,":[21],"machine":[22],"learning-based":[23],"methods":[24,187],"are":[25,98],"required":[26],"that":[27,62],"assign":[28],"subject":[29,83,190],"descriptors":[30,169],"automatically.":[31],"While":[32],"stability":[33],"generative":[35],"processes":[36],"behind":[37],"underlying":[39],"data":[40,161],"is":[41,46,85,193],"often":[42],"assumed":[43],"tacitly,":[44],"it":[45],"being":[47],"violated":[48],"in":[49,81,87,100,137,166,181],"practice.":[50],"Addressing":[51],"this":[52,54,101],"problem,":[53],"article":[55],"studies":[56],"explicit":[57],"and":[58,69,89,106,134,179],"implicit":[59],"concept":[60,79,151],"drift,":[61],"is,":[63],"settings":[64],"new":[66,70],"descriptor":[67],"terms":[68],"types":[71],"documents,":[73],"respectively.":[74],"First,":[75],"existence":[77],"drift":[80],"automatic":[82,96,189],"indexing":[84,97,120],"discussed":[86],"detail":[88],"demonstrated":[90],"by":[91,196],"example.":[92],"Subsequently,":[93],"architectures":[94],"analyzed":[99],"regard,":[102],"highlighting":[103],"individual":[104],"strengths":[105],"weaknesses.":[107],"The":[108],"results":[109,131],"theoretical":[112],"analysis":[113],"justify":[114],"research":[115],"on":[116,125,132,158],"fusion":[117,147],"different":[119],"approaches":[121,154],"special":[123],"consideration":[124],"information":[126],"sharing":[127],"among":[128],"descriptors.":[129],"Experimental":[130],"titles":[133],"author":[135],"keywords":[136],"domain":[139],"economics":[141],"underline":[142],"relevance":[144],"methodology,":[148],"especially":[149],"under":[150],"drift.":[152],"Fusion":[153],"outperformed":[155],"non-fusion":[156],"strategies":[157],"tested":[160],"sets,":[162],"which":[163],"comprised":[164],"shifts":[165],"priors":[167],"as":[170,172,192],"well":[171],"covariates.":[173],"These":[174],"findings":[175],"can":[176],"help":[177],"researchers":[178],"practitioners":[180],"libraries":[183],"choose":[185],"appropriate":[186],"indexing,":[191],"finally":[194],"shown":[195],"recent":[198],"case":[199],"study.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
