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An entity linking method based on graph model

A graph model and entity technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as insufficient semantic information and insufficient use of unambiguous entities

Active Publication Date: 2018-12-07
SOUTHEAST UNIV
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Problems solved by technology

[0006] Although there have been a lot of researches on entity linking and graph-based entity disambiguation methods, the common problem of existing methods is that they do not give full play to the role of unambiguous entities, and the semantic information in entity association graphs is not enriched with the addition of unambiguous entities

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  • An entity linking method based on graph model
  • An entity linking method based on graph model
  • An entity linking method based on graph model

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Embodiment Construction

[0050] The implementation process of the present invention will be described in detail below in conjunction with the embodiments and the accompanying drawings.

[0051] The entity linking method based on graph model of the present invention comprises the following steps:

[0052] 1) Offline data processing. It is divided into two parts: one is to establish an inverted index for all entity information in the knowledge base, and the other is to perform vectorized representation for each entity in the knowledge base.

[0053] 1a) Build knowledge base entity index. The entity information to be stored in the knowledge base includes title (Title), category (Category), information box (Infobox) key-value pair and abstract (Abstract), etc., corresponding to each entity is a Document object, each Document object Contains fields such as title, table of contents, information box, abstract, etc.

[0054] 1b) Obtain the semantic vector representation of knowledge base entities. It is d...

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Abstract

The invention discloses an entity linking method based on a graph model, which is mainly used for dealing with the entity linking problem of unstructured text. The method includes the steps of firstlyconstructing an entity association diagram of the same text by using all entity reference items obtained in the same text and the corresponding candidate entity set as the basis of the dynamic entitydisambiguation algorithm; then, through the dynamic entity disambiguation algorithm based on graph and PageRank, selecting the highest-scoring undisambiguated candidate entity as the target entity ofentity reference in each round, and completing the disambiguation selection process of entity reference corresponding to multiple candidate entities step by step; at last, utilizing XGBoost in a machine learning domain to judge the target entity, linking the logged-in target entity correctly, and identifying the unlogged target entity correctly.

Description

technical field [0001] The invention belongs to the field of entity linking and relates to an entity linking method based on a graph model. Background technique [0002] Since the concept of the Semantic Web was proposed, more and more open link data and user-generated content have been published on the Internet, and the Internet has gradually changed from a document that only contains hyperlinks between web pages to a World Wide Web that contains a large number of descriptions of various entities and A World Wide Web of Data rich in relationships between entities. While Internet webpages, such as news, blogs, etc., involve a large number of entities, most of the webpages themselves do not have relevant descriptions and background introductions about these entities. In order to help people better understand the content of the webpage, many websites or authors will establish a link relationship between the entities that appear in the webpage and the corresponding knowledge b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 邢昊天漆桂林高桓
Owner SOUTHEAST UNIV
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