{"id":"https://openalex.org/W2111776534","doi":"https://doi.org/10.1109/icacci.2013.6637202","title":"Extraction and interpretation of charts in technical documents","display_name":"Extraction and interpretation of charts in technical documents","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2111776534","doi":"https://doi.org/10.1109/icacci.2013.6637202","mag":"2111776534"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5051960047","display_name":"Jagadish S. Kallimani","orcid":"https://orcid.org/0000-0002-1006-6754"},"institutions":[{"id":"https://openalex.org/I142809039","display_name":"Jawaharlal Nehru Technological University, Kakinada","ror":"https://ror.org/05s9t8c95","country_code":"IN","type":"education","lineage":["https://openalex.org/I142809039"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jagadish S. Kallimani","raw_affiliation_strings":["Department of CSE, JNTUK, Kakinada, Andra Pradesh, India","Department of CSE, JNTUK, Kakinada, INDIA"],"affiliations":[{"raw_affiliation_string":"Department of CSE, JNTUK, Kakinada, Andra Pradesh, India","institution_ids":["https://openalex.org/I142809039"]},{"raw_affiliation_string":"Department of CSE, JNTUK, Kakinada, INDIA","institution_ids":["https://openalex.org/I142809039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110533933","display_name":"K. G. Srinivasa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. G. Srinivasa","raw_affiliation_strings":["M S Ramaiah Institute of Technology, Bangalore, Karnataka, IN","Department of CSE, MSRIT Bangalore, India#TAB#"],"affiliations":[{"raw_affiliation_string":"M S Ramaiah Institute of Technology, Bangalore, Karnataka, IN","institution_ids":[]},{"raw_affiliation_string":"Department of CSE, MSRIT Bangalore, India#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039337232","display_name":"Reddy B. Eswara","orcid":null},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Reddy B. Eswara","raw_affiliation_strings":["Department of CSE, JNTUA, Anantapur, Andra Pradesh, India","Dept. Of CSE, JNTUA, Anantapur, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, JNTUA, Anantapur, Andra Pradesh, India","institution_ids":["https://openalex.org/I52035452"]},{"raw_affiliation_string":"Dept. Of CSE, JNTUA, Anantapur, India","institution_ids":["https://openalex.org/I52035452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051960047"],"corresponding_institution_ids":["https://openalex.org/I142809039"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.16007048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"382","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9685999751091003,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9685999751091003,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9103999733924866,"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/computer-science","display_name":"Computer science","score":0.6822108030319214},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.6621496677398682},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4821140766143799},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4668349027633667},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4362516701221466},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21577998995780945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822108030319214},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.6621496677398682},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4821140766143799},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4668349027633667},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4362516701221466},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21577998995780945},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W128290515","https://openalex.org/W1493735000","https://openalex.org/W1971282854","https://openalex.org/W1987835821","https://openalex.org/W2113899393","https://openalex.org/W2152763748","https://openalex.org/W4256486337"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4313320911","https://openalex.org/W4327743144","https://openalex.org/W2390279801","https://openalex.org/W2607424049","https://openalex.org/W4245077728","https://openalex.org/W4390922876","https://openalex.org/W3183204001","https://openalex.org/W4206302830","https://openalex.org/W2358668433"],"abstract_inverted_index":{"The":[0,111,155],"Information":[1],"Extraction":[2],"is":[3,77,109,133,161],"a":[4,94,114,164],"method":[5],"for":[6,65,101,124],"filtering":[7],"information":[8,32,149],"from":[9,20],"large":[10],"volumes":[11],"of":[12,18,25,53,87,93,105,158],"text.":[13,29],"It":[14],"includes":[15],"the":[16,23,61,78,83,147,159],"extraction":[17],"documents":[19],"collections":[21],"and":[22,56,68,72,85,103,127,139,143],"tagging":[24],"particular":[26],"terms":[27],"in":[28,41,50,163],"But":[30],"non-text":[31],"such":[33],"as":[34],"graphs,":[35],"images,":[36],"figures,":[37],"etc":[38],"are":[39,47,60,69],"common":[40],"any":[42],"technical":[43,57],"documents.":[44],"Scientific":[45],"charts":[46],"commonly":[48],"used":[49],"graphical":[51,138,148],"representation":[52],"statistical,":[54],"experimental":[55],"data.":[58,154],"These":[59],"major":[62],"visual":[63,95],"aids":[64],"data":[66],"analysis":[67],"simple,":[70],"clear":[71],"widely":[73],"used.":[74],"Image":[75],"understanding":[76],"research":[79],"area":[80],"concerned":[81],"with":[82],"design":[84],"experimentation":[86],"computer":[88],"systems":[89],"that":[90],"integrate":[91],"models":[92],"image":[96],"problem":[97],"domain.":[98],"A":[99],"system":[100,112],"recognition":[102],"interpretation":[104,126,136],"simple":[106],"bar":[107],"graphs":[108],"proposed.":[110],"generates":[113],"natural":[115,130,165],"language":[116,131,166],"description":[117],"based":[118],"on":[119],"semantic":[120,156],"understanding.":[121],"An":[122],"approach":[123],"chart":[125,160],"conversion":[128],"to":[129,150],"text":[132],"discussed.":[134],"Chart":[135],"processes":[137],"textual":[140,153],"components":[141],"separately,":[142],"then":[144],"it":[145],"associates":[146],"its":[151],"corresponding":[152],"meaning":[157],"presented":[162],"format.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}