{"id":"https://openalex.org/W1989514833","doi":"https://doi.org/10.5430/air.v3n1p46","title":"Technique for searching tabular form documents using metadata harvested by table structure analysis","display_name":"Technique for searching tabular form documents using metadata harvested by table structure analysis","publication_year":2014,"publication_date":"2014-01-13","ids":{"openalex":"https://openalex.org/W1989514833","doi":"https://doi.org/10.5430/air.v3n1p46","mag":"1989514833"},"language":"en","primary_location":{"id":"doi:10.5430/air.v3n1p46","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v3n1p46","pdf_url":"http://www.sciedu.ca/journal/index.php/air/article/download/3159/2348","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://www.sciedu.ca/journal/index.php/air/article/download/3159/2348","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090329775","display_name":"Isaac Okada","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Isaac Okada","raw_affiliation_strings":["Systems Integration Technology Unit, Fujitsu Limited, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Integration Technology Unit, Fujitsu Limited, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084605436","display_name":"Minoru Saito","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minoru Saito","raw_affiliation_strings":["Systems Integration Technology Unit, Fujitsu Limited, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Integration Technology Unit, Fujitsu Limited, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068882666","display_name":"Yoshiaki Oida","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiaki Oida","raw_affiliation_strings":["Systems Integration Technology Unit, Fujitsu Limited, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Integration Technology Unit, Fujitsu Limited, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019884078","display_name":"Hiroyuki Yamato","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Yamato","raw_affiliation_strings":["Graduate School of Frontier Sciences, The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Frontier Sciences, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042800757","display_name":"Kazuo Hiekata","orcid":"https://orcid.org/0000-0002-8646-8506"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuo Hiekata","raw_affiliation_strings":["Graduate School of Frontier Sciences, The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Frontier Sciences, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081081128","display_name":"Satoru Nakamura","orcid":"https://orcid.org/0000-0001-8245-7925"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoru Nakamura","raw_affiliation_strings":["Graduate School of Frontier Sciences, The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Frontier Sciences, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055404124","display_name":"Naoto Fukada","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto Fukada","raw_affiliation_strings":["Graduate School of Frontier Sciences, The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Frontier Sciences, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090329775"],"corresponding_institution_ids":["https://openalex.org/I2252096349"],"apc_list":null,"apc_paid":null,"fwci":0.3135,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60900141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.7678999900817871,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.7678999900817871,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.7361999750137329,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.7027999758720398,"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/metadata","display_name":"Metadata","score":0.9133294820785522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831076383590698},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7338800430297852},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.67844557762146},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6226997375488281},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5509185791015625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45765814185142517},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4277564287185669},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1992385983467102},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07724055647850037},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07292884588241577}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.9133294820785522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831076383590698},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7338800430297852},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.67844557762146},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6226997375488281},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5509185791015625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45765814185142517},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4277564287185669},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1992385983467102},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07724055647850037},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07292884588241577},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5430/air.v3n1p46","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v3n1p46","pdf_url":"http://www.sciedu.ca/journal/index.php/air/article/download/3159/2348","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5430/air.v3n1p46","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v3n1p46","pdf_url":"http://www.sciedu.ca/journal/index.php/air/article/download/3159/2348","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1989514833.pdf","grobid_xml":"https://content.openalex.org/works/W1989514833.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2110296336","https://openalex.org/W2119929549","https://openalex.org/W2137959438"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2010935248"],"abstract_inverted_index":{"Conducting":[0],"full-text":[1,173],"searches":[2,163,174],"on":[3,97,118],"collections":[4],"of":[5,21,58,70,76,80,100,103,111,121,162,171],"tabular":[6,38],"files,":[7],"in":[8,89,127,148],"which":[9,90,149],"a":[10,15,87,104,119,140,146],"single":[11,16],"sheet":[12,47,113],"corresponds":[13],"to":[14,40,66,168],"document":[17],"and":[18,114,145],"eachfile":[19],"consists":[20],"multiple":[22],"sheets,":[23],"typically":[24],"involves":[25],"retrieving":[26],"many":[27],"candidate":[28],"files":[29,39],"that":[30,164],"include":[31],"the":[32,45,68,77,82,98,108,112,128,136,160,169],"search":[33,180],"terms.":[34],"Opening":[35],"eachof":[36],"these":[37],"determine":[41],"whether":[42],"it":[43,62],"is":[44,48],"desired":[46],"labor-intensive.":[49],"Searching":[50],"with":[51,72],"high":[52],"precision":[53],"thus":[54],"requiresexpert":[55],"intuition":[56],"born":[57],"operational":[59,91],"experience.":[60],"Therefore,":[61],"would":[63],"be":[64],"advantageous":[65],"enable":[67],"pinpointing":[69],"desireddocuments":[71],"greater":[73,179],"accuracy":[74],"regardless":[75],"operator\u2019s":[78],"level":[79],"experience.In":[81],"present":[83],"study,":[84],"we":[85],"propose":[86,131],"method":[88,147,177],"classifications":[92],"are":[93],"assigned":[94,166],"as":[95],"metadata":[96,116,167],"basis":[99],"thetable":[101],"structure":[102,110],"sheet.":[105],"We":[106,130],"obtain":[107],"table":[109,137],"assign":[115],"based":[117],"set":[120],"rules":[122],"establishedindividually":[123],"for":[124,134],"each":[125],"pattern":[126],"structure.":[129],"two":[132],"methods":[133],"representing":[135],"structures":[138],"obtained:":[139],"methodusing":[141],"node":[142],"property":[143],"matrix,":[144],"positional":[150],"data":[151],"regarding":[152],"cells":[153],"containing":[154],"specific":[155],"operation-description":[156],"dataare":[157],"indexed.":[158],"Comparing":[159],"results":[161,170],"use":[165],"traditional":[172],"revealsthat":[175],"our":[176],"has":[178],"accuracy.":[181]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}