Information acquisition method and system based on remote relation extraction
An acquisition system and relationship extraction technology, applied in special data processing applications, website content management, network data retrieval, etc., can solve problems such as increased difficulty in intelligence perception work, instance aggregation errors, semantic drift, etc., and achieve domain portability performance, improve accuracy and precision, and reduce redundancy
Active Publication Date: 2019-10-25
BEIJING INFORMATION SCI & TECH UNIV
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Problems solved by technology
Semi-supervised learning methods are prone to "semantic drift" problems in the iterative process, while unsupervised learning methods are prone to associated problems such as instance aggregation errors in the mapping process, making the current three types of entity relationship extraction methods encounter certain difficulties
[0006] Website resources contain a wealth of intelligence information. Traditional intelligence acquisition methods directly use the results of web page retrieval as the research object, making intelligence perception work increasingly difficult in today's big data environment.
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[0051] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as recited in the appended claims.
[0052] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It will also be understood that the term "and / or" as...
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The invention provides an information acquisition system based on remote relation extraction. The information acquisition system comprises an information retrieval module, an intelligence acquisitionmodule and an intelligence analysis module. According to the invention, a web-oriented industry domain information acquisition framework is constructed, and methods such as knowledge fusion, domain rules and the like are provided, so that the problem of noise interference occurring when a knowledge base remotely supervises annotation data is reduced; and by virtue of good performance of the factorgraph model, an entity relationship automatic extraction task in an information perception process is realized. The framework and the method can be effectively applied to information perception, dataanalysis and acquisition work, and have domain portability.
Description
technical field [0001] The invention relates to the technical field of data information acquisition, in particular to an information acquisition method and system based on remote relationship extraction. Background technique [0002] In the early stage, intelligence perception needs to rely on manual processing to obtain information, and then gain insight into perception intelligence and make decisions. With the development of information technology, a method based on web page search has emerged for intelligence acquisition. This method mainly relies on web search engines and improved technologies to search for relevant web pages. However, the amount of collected web page information is too complex, making it difficult to process and analyze intelligence. Increase, the timeliness of intelligence perception is insufficient. Therefore, intelligence acquisition methods based on web text mining and information extraction have become a new research hotspot. This type of method ...
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IPC IPC(8): G06F16/31G06F16/36G06F16/958G06F17/27
CPCG06F16/313G06F16/367G06F16/958G06F40/211G06F40/216G06F40/295G06F40/30
Inventor 陈雨婷刘旭红刘秀磊
Owner BEIJING INFORMATION SCI & TECH UNIV