Event occurrence risk prediction and early warning method targeted to specific zone

A kind of event occurrence and specific area technology, applied in the information field, can solve undiscovered problems and achieve the effect of ensuring efficiency

Active Publication Date: 2014-06-11
COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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  • Event occurrence risk prediction and early warning method targeted to specific zone
  • Event occurrence risk prediction and early warning method targeted to specific zone
  • Event occurrence risk prediction and early warning method targeted to specific zone

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Embodiment Construction

[0042] The specific embodiment of the present invention is as figure 1 As shown, the specific steps are described as follows.

[0043] 1. Build ontology

[0044] Considering the characteristics of food safety incidents and the needs of subsequent event information extraction and tracking analysis, in the process of constructing food safety incident information ontology, it is mainly established from the five latitudes of object, area, time, result, and related persons. For example, the object is food, which can be divided into categories such as primary products and processed products, and primary products can be divided into categories such as vegetables and fruits, and so on; for example, results can be divided into categories such as pollution and poisoning, and pollution can be divided into categories such as expired, Exceeding standards and other categories, and so on; for example, the region can be divided into five categories in general, namely Asia, Europe, Africa, Am...

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Abstract

The invention discloses an event occurrence risk prediction and early warning method targeted to a specific zone. The method comprises the following steps: (1), carrying out filtering on crawled webpage information; (2), parsing words expressing location in the webpage information to obtain a place name word; and carrying out processing on the webpage information based on an established information body and classifying the webpage information into a matching region; (3), carrying out processing on the webpage information by using a regression analysis model and determining an object type related to each webpage; (4), obtaining webpage information sets of events of a set region and a set object according to a located zone of the webpage as well as the related object type, and establishing event feature parameters and calculating parameter values regularly, and carrying out early warning on an event whose feature parameter value exceeds a set threshold value; and (5), on the basis of a matrix analysis and a regression prediction model, carrying out different early warning on a risk of the set event occurrence at the target zone on under the circumstances of occurrence of set object event early warning at a certain zone. According to the invention, the efficiency of risk early warning is improved.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a method for performing specific processing on crawled Internet information, based on which the risk of a specific event in a specific area is predicted and given an early warning, and is mainly used in food safety information monitoring and risk early warning In the emergency response work such as unconventional emergencies. Background technique [0002] In recent years, food safety incidents such as poisonous capsules, twice-cooked oil, clenbuterol, dyed steamed buns, plasticizers, and poisonous cucumbers have occurred frequently, which have not only caused extremely bad social impacts, but also brought a lot of economic losses. In order to avoid or minimize the harm caused by these food safety incidents, event-based risk early warning technology has begun to receive great attention. For event-based risk early warning, it is necessary to discover information a...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/00
Inventor 杨风雷黎建辉
Owner COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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