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Type extraction system and method for professional document knowledge entity

An entity type and knowledge technology, applied in text database query, unstructured text data retrieval, network data indexing and other directions, can solve the problems of time-consuming and labor-intensive, a large number of manual annotations, lack of etc., to achieve flexibility and versatility Effect

Active Publication Date: 2019-09-17
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, Google knowledge graph regards the user's search object as an entity, rather than simply keyword matching search, which can effectively obtain some attributes and specific information related to the entity; Google Trends analyzes the user's search records and obtains The hot trend of some keywords; the domestic "synonym Cilin" uses Internet data to mine the hyponymy relationship of entities to obtain the hyponymy relationship of most entities, but it lacks special professional literature knowledge entities. The knowledge context retrieval of Wanfang Data is to correlate the keywords of the documents according to the relationship between the relevant documents and the reference documents, and then display the words most relevant to the user's search terms in a certain period of time in a chronological order
[0004] The existing type extraction technology mainly has the following deficiencies: A) types need to be manually pre-defined, with limitations; B) a large amount of manual annotation is required, which is time-consuming and labor-intensive; C) type extraction for professional fields is still Most of the commonly used entity information extraction methods are not applicable in the professional field; D) Lack of intuitive and visual tree diagram visualization demonstration, most systems are still based on text and data presentation

Method used

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  • Type extraction system and method for professional document knowledge entity
  • Type extraction system and method for professional document knowledge entity
  • Type extraction system and method for professional document knowledge entity

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0036] figure 1 It shows the structure diagram of the type extraction system oriented to the professional document knowledge entity of the present invention.

[0037] refer to figure 1 , the entity type extraction system of the present invention includes a user query and feedback interface, an online crawler and a management module, a knowledge entity identification module, a type extraction module of a knowledge entity, a type tag propagation and index library establishment module, and a knowledge entity type relationship diagram model construction module , Data visualization module, a total of 7 modules.

[0038] Query and feedback interface, used for user input processing and query processing, and feedback data visua...

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PUM

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Abstract

The invention discloses a type extracting system for a professional literature intellectual entity. The system comprises a user inquiring and feedback interface, an online crawler and management module, an intellectual entity identification module, an intellectual entity type extracting module, a type label propagation and index database establishment module, an intellectual entity type relational graph model establishment module, and a data visualization module. The system provided by the invention can be used for extracting the type of the entity according to key words of the entity searched by a user, and presenting a type relation and a hierarchical relation between intellectual entities and a timing sequence evolution mode in a visualization manner. Furthermore, the invention further provides a type extracting method for the professional literature intellectual entity. With the adoption of the method disclosed by the invention, type label extraction can be effectively carried out on the intellectual entities in professional fields; the problem of limitation and subjectivity in manual type predefinition can be solved; and the structured realization of a professional knowledge network is easily realized.

Description

technical field [0001] The invention relates to the field of text mining and information extraction, in particular to a type extraction system and extraction method for professional document knowledge entities. Background technique [0002] With the rapid popularization of the Internet and the development of hardware storage technology, people can easily browse and obtain various digital resources on different devices, and can also obtain the required professional literature through numerous academic databases or academic search engines , such as Google Scholar, Baidu Academic, Cnki, Wanfang Data, etc.. From this point of view, obtaining massive electronic resources from the Internet has indeed become an easy and simple matter, but the problem that arises is that the existing knowledge services can no longer meet people's needs for "fast, simple and accurate" information. need. In the face of such knowledge service needs, we need to perform entity recognition for such prof...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/951G06F16/36G06F16/33
Inventor 温雯伍思杰蔡瑞初郝志峰
Owner GUANGDONG UNIV OF TECH
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