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A Spatiotemporal Data Model For The Relationship Of Six Dynasties Characters

Posted on:2019-12-28Degree:MasterType:Thesis
Country:ChinaCandidate:F F CaoFull Text:PDF
GTID:2415330545985164Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Using relastionship database technology,social network analysis,geographic information system and other comprehensive means to study historical geography is an important trend in academic circles.To builde database is the foundation of the research of historical figures relationship,and the construction of the relationship database of the Six Dynasties is still in the blank.In the construction of database through historical documents,there are some difficulties in data extraction and spatiotemporal data location.This paper explores an automated method for extracting information from unstructured historical documents,and solves the method of automatically extracting character information from classical Chinese texts and data automatic cleaning algorithm.Then it studies the temporal and spatial data model of the relationship between people in the Six Dynasties and establishes a unified historical space-time framework.The positioning and transformation of fuzzy time information and the coding of geographical locations at different times;the establishment of the Six Dynasties People Relational Database and the Six Dynasties Personal Relationship Geographical Information System,family relations,social network relationship analysis,and spatial analysis of the relatives and social relations of the Six Dynasties'figures.The exploratory analysis was conducted with the geographical relationship.This article uses "Jian Kang Shi Lu" as a basic document,using VBA,Python,and regular expressions to explore methods for automatically extracting historical character information from historical documents.A thorough analysis of CBDB reveals that its character relationships are too complex and the construction of character relationships lacks the disadvantages of unified temporal and spatial reference.According to the characteristics of the six-person figure data,the relationship structure of CBDB characters is improved,and the organization of six-deep character relationship data is proposed under the unified historical space-time framework,and the six-deep character relationship data is organically organized under a unified space-time framework.The establishment of the Six Dynasties People Relation Database and the Six Dynasties People Relationship Geographical Information System,initially meet the needs of research on the relationship between the six Dynasties people.The main work and research results are as follows:(1)Make a unified conversion of the historical document of the middle age of the middle age of the historical literature with the standard of the year of the ad,and select a standard time and six time sections for the different dynasties in the Six Dynasties.Based on the vector map of the historical map corresponding to the six time sections in the Chinese Historical Atlas,the spatial reference standard for different time series is built.The geographical position of historical figures in the Six Dynasties was unified coded to build a unified historical spatial and temporal framework of the Six Dynasties.(2)Construct the spatial-temporal data model of the characters in the Six Dynasties.On the basis of CBDB database structure,we design and improve the spatio-temporal data model of the relationship between the Six Dynasties on the basis of a unified historical and spatio-temporal framework,and simplify the relationship design of the characters in the CBDB,simplify the social relations category,and standardize and expand the geo relationship.The category of kinship is abstracted and abstracted into three basic atomic relatives(father,son,brother,husband and wife),and the three basic relationships can be used to complete the construction and representation of other kinship relations,to a certain extent,to improve the flexibility of the expression of kinship relations and to effectively reduce the redundancy and error of relative data..It extends the geo relationship from the geographic information of simple historical figures to two types of calendar type(static attribute)and activity type(related to human activities and events).It not only records the static attributes of historical figures and geographical locations,but also records the geographical information involved in the activities of historical figures.The combination of character relations and geographic information has been strengthened.(3)Establish methods for extracting historical figures from documents.From the"Jian Kang record",the relationship data is extracted,and a series of processes from named entity tagging,automatic data extraction,data cleaning,data checking,data coding and data entry are completed.The iterative algorithm of sliding window is designed to complement and merge the first extracted characters' name data,which can effectively improve the efficiency of data processing;a relationship pattern matching method is proposed to quickly extract the attributes information of the characters.(4)Build the relational database and GIS of the Six Dynasties.Based on the spatio-temporal data model of the relationship between the Six Dynasties,the relationship data of the Six Dynasties in the "Jian Kang real record" were collected,and the relationship database of the Six Dynasties was built,and the empirical study was carried out.Facing the needs of the construction of the historical geography information in the Six Dynasties,the construction of the relationship information system in the Six Dynasties was based on a unified historical space-time framework.It has preliminarily satisfied the inquiry of the basic information of the Six Dynasties,the display of the family tree of the kinship,the network construction of the social relations of the characters and the geographical spatial visualization of the geo relationship of the characters.
Keywords/Search Tags:Characters in Six Dynasties, CBDB, Spatiotemporal data model, Jian Kang Shi Lu, Historical Geographic Information System, SBDB
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