{"id":"https://openalex.org/W4406457858","doi":"https://doi.org/10.1109/bigdata62323.2024.10825897","title":"A New Perspective for the Study of \"Five Thousand Years of Chinese History \": Visual Analysis of Single Text and Time Series Text","display_name":"A New Perspective for the Study of \"Five Thousand Years of Chinese History \": Visual Analysis of Single Text and Time Series Text","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406457858","doi":"https://doi.org/10.1109/bigdata62323.2024.10825897"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825897","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/A5102936848","display_name":"Yiting Pan","orcid":"https://orcid.org/0000-0002-6013-9624"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yiting Pan","raw_affiliation_strings":["Zhejiang Industry & Trade Vocational College,School of Artificial Intelligence,Zhejjiang,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Industry & Trade Vocational College,School of Artificial Intelligence,Zhejjiang,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102936848"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2662988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8793","last_page":"8797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9291999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.7068540453910828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6492882966995239},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5410711765289307},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.527289867401123},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4195130169391632},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3523203730583191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29342249035835266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09186044335365295}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7068540453910828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6492882966995239},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5410711765289307},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.527289867401123},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4195130169391632},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3523203730583191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29342249035835266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09186044335365295},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825897","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":7,"referenced_works":["https://openalex.org/W2016268421","https://openalex.org/W2050023720","https://openalex.org/W2097940802","https://openalex.org/W2114313114","https://openalex.org/W2141880430","https://openalex.org/W3212038655","https://openalex.org/W4200159717"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2068608913","https://openalex.org/W2018871932","https://openalex.org/W641279757","https://openalex.org/W3124914020","https://openalex.org/W370975646","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Digital":[0],"humanities":[1,11,185],"introduces":[2],"knowledge":[3,49,103],"graph,":[4,50],"visual":[5,172],"analysis":[6,173],"and":[7,21,51,66,101,121,137,158,160,177,187],"other":[8],"technologies":[9],"into":[10],"research,":[12,186],"which":[13,70,112,146],"provides":[14,166,188],"a":[15,167,189],"new":[16,168],"method":[17],"for":[18,73,115,149,170,192],"the":[19,31,58,78,83,97,102,123,134,141,154,162,171,181],"inheritance":[20],"dissemination":[22],"of":[23,33,37,54,105,174,183],"traditional":[24],"Chinese":[25,38],"culture.":[26],"This":[27],"paper":[28],"visually":[29],"analyzes":[30],"text":[32,176,179],"Five":[34],"Thousand":[35],"Years":[36],"history":[39],"from":[40],"three":[41],"dimensions:":[42],"keyword":[43,59],"word":[44],"cloud":[45,60],"map,":[46],"character":[47,106],"relationship":[48,124,155],"Sankey":[52,128],"map":[53,61],"historical":[55,119,163],"events.":[56],"Firstly,":[57],"was":[62,71,88,108,113],"realized":[63],"by":[64],"Python":[65],"multiple":[67],"third-party":[68],"libraries,":[69],"convenient":[72,114,148],"readers":[74,116,150],"to":[75,117,133,151],"quickly":[76],"appreciate":[77],"key":[79],"points":[80],"expressed":[81],"in":[82,180],"text.":[84],"Secondly,":[85],"entity":[86],"recognition":[87],"performed":[89],"through":[90,96,110,140],"hanLP,":[91],"triple":[92],"relationships":[93,107],"were":[94],"obtained":[95],"deep":[98],"learning":[99],"model,":[100],"graph":[104],"stored":[109],"Neo4j,":[111],"understand":[118],"characters":[120,157],"clarify":[122,161],"between":[125,156],"characters.":[126],"Finally,":[127],"diagrams":[129],"are":[130],"generated":[131],"according":[132],"characters,":[135],"events":[136],"time":[138],"order":[139],"ECharts":[142],"visualization":[143],"chart":[144],"library,":[145],"is":[147],"sort":[152],"out":[153],"events,":[159],"order.":[164],"It":[165],"perspective":[169],"single":[175],"temporal":[178],"field":[182],"digital":[184],"broader":[190],"foundation":[191],"future":[193],"research.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}