Relation extension method based on entity links

An entity and relationship technology, applied in the field of relationship expansion based on entity link, to achieve the effect of improving model performance, realizing relationship expansion, and ensuring accuracy

Inactive Publication Date: 2017-12-22
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention can effectively identify unlinked entities in the information frame, solve problems such as entities with the same name and entity aliases, establish relationships with target entities, and realize relationship expansion

Method used

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  • Relation extension method based on entity links
  • Relation extension method based on entity links
  • Relation extension method based on entity links

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Embodiment Construction

[0008] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0009] The invention provides a relationship expansion method based on entity link technology. Such as figure 1 Shown is the block diagram of this method, including three modules: candidate set generation module, feature extraction module and sorting module.

[0010] Given a subject entity e i , the attribute r of its information box (infobox) j There is an entity name m that may point to an...

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Abstract

The invention provides a relation extension method based on entity links. The method is characterized in that the technological means of entity links are used, text in natural language is linked to the corresponding entities in knowledge bases, unlabeled entities in message box attributes are identified, using the labeling systems of encyclopedic entries to serve as the types of the entities according to the matching degree between candidate entity types and entity types at two ends of a relation; meanwhile, a model fusion method is used to sort the candidate entities, and the advantages of a nonlinear boosting integrated model are fused into a linear model so as to increase model performance and guarantee relation accuracy. By the method, unlinked entities in the message box can be identified effectively, the problems of entities with identical names and entities with aliases are solved, a relation with the target entity is built, and relation extension is achieved.

Description

technical field [0001] The invention relates to a method for expanding a relationship, in particular to a method for expanding a relationship based on entity links. Background technique [0002] In recent years, in order to solve the semantic problem of Internet information, the Semantic World Wide Web has been proposed, that is, the World Wide Web that contains a large number of descriptions of various entities and rich relationships between entities, and understands everything on the network as an entity with a unique uniform resource identifier. (URIs), there are semantic links between these entities that allow machines to understand the text. Based on this, major search engine companies have released knowledge graphs, aiming to meet users' increasing search requirements and improve user experience. The knowledge graph, also known as the knowledge base, is essentially a machine-readable semantic network composed of multiple elements such as concepts, entities, attributes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/288G06F16/367
Inventor 张日崇贺薇王玥李建欣
Owner BEIHANG UNIV
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