{"id":"https://openalex.org/W4406459755","doi":"https://doi.org/10.1109/bigdata62323.2024.10826028","title":"Making History Readable","display_name":"Making History Readable","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459755","doi":"https://doi.org/10.1109/bigdata62323.2024.10826028"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10826028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-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/A5085592027","display_name":"Bipasha Banerjee","orcid":"https://orcid.org/0000-0003-4472-1902"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bipasha Banerjee","raw_affiliation_strings":["University Libraries Virginia Tech,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"University Libraries Virginia Tech,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114988328","display_name":"Jennifer Goyne","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Goyne","raw_affiliation_strings":["University Libraries Virginia Tech,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"University Libraries Virginia Tech,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062743697","display_name":"William A. Ingram","orcid":"https://orcid.org/0000-0002-8307-8844"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William A. Ingram","raw_affiliation_strings":["University Libraries Virginia Tech,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"University Libraries Virginia Tech,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085592027"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58827633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8620","last_page":"8622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9563000202178955,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6117297410964966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6117297410964966}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10826028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W170731741","https://openalex.org/W4395474395","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6865118152"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"Virginia":[1],"Tech":[2],"University":[3],"Libraries":[4],"(VTUL)":[5],"Digital":[6],"Library":[7],"Platform":[8],"(DLP)":[9],"hosts":[10],"digital":[11,54,91],"collections":[12,30,52,127,166],"that":[13],"offer":[14],"our":[15,40,82,103,146],"users":[16,41],"access":[17,69],"to":[18,70,148,155,168],"a":[19,43,94],"wide":[20],"variety":[21],"of":[22,24,34],"documents":[23],"historical":[25,47,104],"and":[26,61,85,116,133,144,170],"cultural":[27],"importance.":[28],"These":[29],"are":[31],"not":[32],"only":[33],"academic":[35],"importance":[36],"but":[37],"also":[38],"provide":[39],"with":[42,102,141],"glance":[44],"at":[45],"local":[46],"events.":[48],"Our":[49,151],"DLP":[50,83],"contains":[51],"comprising":[53],"objects":[55,92],"featuring":[56],"complex":[57],"layouts,":[58],"faded":[59],"imagery,":[60],"hard-to-read":[62],"handwritten":[63,130],"text,":[64],"which":[65],"makes":[66],"providing":[67],"online":[68],"these":[71,76,165],"materials":[72],"challenging.":[73],"To":[74,97],"address":[75,149],"issues,":[77],"we":[78,106],"integrate":[79],"AI":[80,109],"into":[81,93],"workflow":[84],"convert":[86],"the":[87,90,99,139,157,162],"text":[88,114],"in":[89,164],"machine-readable":[95],"format.":[96],"enhance":[98,156],"user":[100,158],"experience":[101,159],"collections,":[105],"use":[107],"custom":[108],"agents":[110],"for":[111,121],"handwriting":[112],"recognition,":[113],"extraction,":[115],"large":[117],"language":[118],"models":[119],"(LLMs)":[120],"summarization.":[122],"This":[123],"poster":[124],"highlights":[125],"three":[126],"focusing":[128],"on":[129],"letters,":[131],"newspapers,":[132],"digitized":[134],"topographic":[135],"maps.":[136],"We":[137],"discuss":[138],"challenges":[140],"each":[142],"collection":[143],"detail":[145],"approaches":[147],"them.":[150],"proposed":[152],"methods":[153],"aim":[154],"by":[160],"making":[161],"contents":[163],"easier":[167],"search":[169],"navigate.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}