{"id":"https://openalex.org/W4401588673","doi":"https://doi.org/10.1007/978-3-031-65794-8_3","title":"Towards a\u00a0Novel Classification of\u00a0Table Types in\u00a0Scholarly Publications","display_name":"Towards a\u00a0Novel Classification of\u00a0Table Types in\u00a0Scholarly Publications","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401588673","doi":"https://doi.org/10.1007/978-3-031-65794-8_3"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-65794-8_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-65794-8_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-65794-8_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-65794-8_3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100966635","display_name":"Jilin He","orcid":"https://orcid.org/0009-0004-6151-2015"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jilin He","raw_affiliation_strings":["Technische Universit\u00e4t Berlin (TU), Berlin, Germany"],"raw_orcid":"https://orcid.org/0009-0004-6151-2015","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin (TU), Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028923065","display_name":"Ekaterina Borisova","orcid":"https://orcid.org/0000-0002-3447-9860"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ekaterina Borisova","raw_affiliation_strings":["Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI), Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3447-9860","affiliations":[{"raw_affiliation_string":"Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI), Berlin, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104366289","display_name":"Georg Rehm","orcid":"https://orcid.org/0000-0002-7800-1893"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Georg Rehm","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7800-1893","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028923065"],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38505144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9842000007629395,"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8279510736465454},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6493443250656128},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5068822503089905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32292914390563965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2861717939376831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8279510736465454},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6493443250656128},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5068822503089905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32292914390563965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2861717939376831}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-65794-8_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-65794-8_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-65794-8_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-65794-8_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-65794-8_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-65794-8_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401588673.pdf","grobid_xml":"https://content.openalex.org/works/W4401588673.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1988217119","https://openalex.org/W2021167849","https://openalex.org/W2048282669","https://openalex.org/W2108223890","https://openalex.org/W2138556038","https://openalex.org/W2163041183","https://openalex.org/W2290320465","https://openalex.org/W2341748398","https://openalex.org/W2604225376","https://openalex.org/W2612228435","https://openalex.org/W2747850582","https://openalex.org/W2786162033","https://openalex.org/W2899286282","https://openalex.org/W2941366772","https://openalex.org/W2963899988","https://openalex.org/W2971822538","https://openalex.org/W2982377694","https://openalex.org/W3003496674","https://openalex.org/W3008881932","https://openalex.org/W3034997246","https://openalex.org/W3035275890","https://openalex.org/W3086759766","https://openalex.org/W3096254527","https://openalex.org/W3101082165","https://openalex.org/W3102264439","https://openalex.org/W3103940211","https://openalex.org/W3107064625","https://openalex.org/W3118722740","https://openalex.org/W3148091059","https://openalex.org/W3153051631","https://openalex.org/W3167748596","https://openalex.org/W3174986053","https://openalex.org/W3194951844","https://openalex.org/W3201854521","https://openalex.org/W3202428668","https://openalex.org/W3212606841","https://openalex.org/W3216660278","https://openalex.org/W4210451781","https://openalex.org/W4309735497","https://openalex.org/W4312554912","https://openalex.org/W4313344101","https://openalex.org/W6819060087"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4394360958","https://openalex.org/W4396696052","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Abstract":[0],"Tables":[1],"are":[2,73,86,150],"one":[3,47],"of":[4,8,18,48,59,71,118],"the":[5,49,116],"prevalent":[6],"means":[7],"organising":[9],"and":[10,38,57,146,152],"representing":[11],"structured":[12],"data.":[13,63],"They":[14],"contain":[15],"a":[16,130],"wealth":[17],"valuable":[19],"information":[20],"that":[21,143],"is":[22,46],"challenging":[23],"to":[24,53,124],"extract":[25],"automatically,":[26],"yet":[27],"can":[28],"be":[29],"leveraged":[30],"for":[31,154],"downstream":[32],"tasks":[33,50],"such":[34,91],"as":[35,92],"question":[36],"answering":[37],"knowledge":[39,60],"base":[40],"construction.":[41],"Table":[42],"Type":[43],"Classification":[44],"(TTC)":[45],"which":[51,85],"contributes":[52],"better":[54],"semantic":[55],"understanding":[56],"extraction":[58],"in":[61,88,110],"tabular":[62],"While":[64],"multiple":[65],"classification":[66],"schemas":[67],"exist,":[68],"almost":[69],"all":[70],"them":[72],"focused":[74],"on":[75],"web":[76,122],"tables.":[77,126,157],"Therefore,":[78],"these":[79],"classifications":[80],"might":[81],"overlook":[82],"certain":[83],"types":[84],"common":[87],"other":[89],"areas":[90],"scientific":[93,125,156],"research.":[94],"This":[95],"paper":[96],"addresses":[97],"this":[98],"gap":[99],"by":[100],"introducing":[101],"ten":[102],"novel":[103],"TTC":[104],"taxonomies":[105,119,149],"tailored":[106],"towards":[107],"tables":[108,123],"used":[109],"scholarly":[111],"publications.":[112],"We":[113],"also":[114],"evaluate":[115],"applicability":[117],"derived":[120],"from":[121],"Additionally,":[127],"we":[128],"propose":[129],"new":[131],"dataset":[132],"containing":[133],"13,000":[134],"annotated":[135],"table":[136],"images,":[137],"called":[138],"TD4CLTabs.":[139],"Our":[140],"results":[141],"indicate":[142],"both":[144],"existing":[145],"newly":[147],"proposed":[148],"suitable":[151],"effective":[153],"classifying":[155]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}