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Event graph construction and query method and system for heat analysis of open source data

A query method and event technology, applied in the field of event graph construction and query of open source data heat analysis, which can solve the problems of redundancy and overlap.

Active Publication Date: 2022-04-22
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention provides an event map construction and query method and system for heat analysis of open source data, which is used to overcome defects such as redundancy and overlap of different event records in the map due to the large scale of global open source time data in the prior art, and realize simplified representation Correlating time and space events, efficiently supporting inquiries such as heat analysis of international relations events

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  • Event graph construction and query method and system for heat analysis of open source data

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Embodiment 1

[0015] Such as figure 1 As shown, the embodiment of the present invention provides an event graph incrementally streamlined construction and query method for heat analysis of global open source event data, and designs an event graph hash table storage representation model and an incremental construction method. The incremental construction method is divided into three processes: map structure definition stage, map attribute maintenance stage, and online query. The graph structure definition phase initializes the representation model of the graph, extracts the active and passive codes of events, and updates the vertex and edge sets of the graph. In the map attribute maintenance stage, the name, country, geographic location, and influence attribute of the active party and the passive party of the event are extracted, and the vertex attribute set of the map is updated; the type of event, the time of the event, the geographical location of the event, the impact of the event, etc. ...

Embodiment 2

[0043] Based on the first embodiment above, the present invention also provides an event map incrementally streamlined construction and query system for heat analysis of global open source event data, including a processor, and a memory connected to the processor, the memory is stored for A program for incrementally streamlining construction and query of event graphs for heat analysis of global open source event data, when the program for incrementally streamlined construction and query of event graphs for heat analysis of global open source event data is executed by the processor, any embodiment of the above method is realized A step of.

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Abstract

The invention discloses a method and system for constructing and querying event graphs for heat analysis of open source data. The method includes: constructing a representation model of the event graph through a hash table and initializing according to imported open source event data, and updating the vertex hash table of the graph and edge hash table; incrementally maintain the event graph according to the newly arrived event data, and update the edge attribute hash table of the graph; realize heat query based on the updated vertex hash table, edge hash table or edge attribute hash table. It is used to solve the problems of redundancy and overlap of different event records in the map due to the large scale of global open source time data in the existing technology, realize simplified representation of associated spatio-temporal events, and efficiently support queries such as heat analysis of international relations events.

Description

technical field [0001] The present invention relates to the technical field of data analysis and processing, in particular to a method and system for building and querying event graphs for heat analysis of open source data. Background technique [0002] Open source international relations event data has become an important big data resource, which can effectively assist in the accurate research and judgment of international relations. Taking GDELT as an example, the open source event data it provides involves massive events in different geographical regions and time periods around the world. Popularity analysis Statistics the popularity of specific event entities, event types, time intervals, and spatial regions, and supports mining and analysis of hotspot events, which is a common function of data mining. However, due to the large scale of event data and the strong correlation between events, the core of heat analysis is to efficiently store and mine the heat of internatio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/31G06F16/33G06F16/36
CPCG06F16/367G06F16/325G06F16/33G06F16/322
Inventor 符永铨沈思淇王庆林黄春苏华友李荣春姜晶菲李东升窦勇
Owner NAT UNIV OF DEFENSE TECH
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