{"id":"https://openalex.org/W6962924149","doi":"https://doi.org/10.18420/informatik2021-121","title":"Towards Augmenting Metadata Management by Machine Learning","display_name":"Towards Augmenting Metadata Management by Machine Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W6962924149","doi":"https://doi.org/10.18420/informatik2021-121"},"language":"en","primary_location":{"id":"doi:10.18420/informatik2021-121","is_oa":true,"landing_page_url":"https://doi.org/10.18420/informatik2021-121","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/informatik2021-121","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kern, Christopher Julian","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kern, Christopher Julian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sch\u00e4ffer, Thomas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sch\u00e4ffer, Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Stelzer, Dirk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stelzer, Dirk","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41961802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.3709000051021576,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.3709000051021576,"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/T11937","display_name":"Research Data Management Practices","score":0.1387999951839447,"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/T14330","display_name":"Library Science and Information Systems","score":0.054999999701976776,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.9728000164031982},{"id":"https://openalex.org/keywords/meta-data-services","display_name":"Meta Data Services","score":0.7092999815940857},{"id":"https://openalex.org/keywords/data-element","display_name":"Data element","score":0.5263000130653381},{"id":"https://openalex.org/keywords/metadata-repository","display_name":"Metadata repository","score":0.5077000260353088},{"id":"https://openalex.org/keywords/metadata-management","display_name":"Metadata management","score":0.49540001153945923},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47189998626708984},{"id":"https://openalex.org/keywords/metadata-modeling","display_name":"Metadata modeling","score":0.4634999930858612},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44279998540878296}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.9728000164031982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152999877929688},{"id":"https://openalex.org/C136976847","wikidata":"https://www.wikidata.org/wiki/Q6822297","display_name":"Meta Data Services","level":4,"score":0.7092999815940857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5870000123977661},{"id":"https://openalex.org/C30872290","wikidata":"https://www.wikidata.org/wiki/Q1172389","display_name":"Data element","level":3,"score":0.5263000130653381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5178999900817871},{"id":"https://openalex.org/C153048206","wikidata":"https://www.wikidata.org/wiki/Q3454922","display_name":"Metadata repository","level":3,"score":0.5077000260353088},{"id":"https://openalex.org/C2779489174","wikidata":"https://www.wikidata.org/wiki/Q6822246","display_name":"Metadata management","level":3,"score":0.49540001153945923},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47189998626708984},{"id":"https://openalex.org/C110326360","wikidata":"https://www.wikidata.org/wiki/Q17149476","display_name":"Metadata modeling","level":4,"score":0.4634999930858612},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C65610166","wikidata":"https://www.wikidata.org/wiki/Q5227399","display_name":"Database catalog","level":4,"score":0.4327999949455261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4074000120162964},{"id":"https://openalex.org/C193150823","wikidata":"https://www.wikidata.org/wiki/Q1477538","display_name":"Geospatial metadata","level":5,"score":0.37439998984336853},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.3212999999523163},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/informatik2021-121","is_oa":true,"landing_page_url":"https://doi.org/10.18420/informatik2021-121","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/informatik2021-121","is_oa":true,"landing_page_url":"https://doi.org/10.18420/informatik2021-121","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.7109476327896118,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Managing":[0],"metadata":[1,24,37,75,93,108,117,129],"is":[2,11],"an":[3,119],"important":[4],"section":[5],"of":[6,49,116],"master":[7],"data":[8],"management.":[9,76,109,130],"It":[10],"a":[12],"complex,":[13],"comprehensive":[14],"and":[15,22,41,67,78,114],"labor-intensive":[16],"task.":[17],"This":[18],"paper":[19],"explores":[20],"whether":[21],"how":[23,123],"management":[25,94],"can":[26,73,127],"be":[27,103],"augmented":[28],"by":[29],"machine":[30,50,56,124],"learning.":[31],"We":[32,45,53],"deduce":[33],"requirements":[34,66],"for":[35],"managing":[36],"from":[38,42],"the":[39,65,68,88],"literature":[40],"expert":[43],"interviews.":[44],"also":[46],"identify":[47],"features":[48],"learning":[51,57,80,125],"algorithms.":[52],"assess":[54],"15":[55],"algorithms":[58,81,126],"to":[59,63,70,91,102,106],"determine":[60],"their":[61],"contribution":[62],"meeting":[64],"extent":[69],"which":[71],"they":[72],"support":[74,92,128],"Supervised":[77],"unsupervised":[79],"as":[82,84,118],"well":[83,104],"neural":[85],"networks":[86],"have":[87],"greatest":[89],"potential":[90],"effectively.":[95],"Reinforcement":[96],"learning,":[97],"however,":[98],"does":[99],"not":[100],"seem":[101],"suited":[105],"augment":[107],"Using":[110],"Support":[111],"Vector":[112],"Machines":[113],"identification":[115],"example,":[120],"we":[121],"show":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
