A method for automatic generation of multi-semantic web entity comparison table oriented to coreference resolution

A coreference resolution, multi-semantic technology, applied in the field of the Semantic Web, can solve the problems of lack of organization, low accuracy and efficiency, and lack of contrast in information presentation, so as to reduce participation time, improve accuracy, and improve efficiency.

Active Publication Date: 2018-07-13
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The main problem addressed by the present invention is: when the existing method supports users to participate in entity coreference resolution, the entity description is unprocessed or insufficiently processed, and the information presentation lacks organization and contrast, resulting in low accuracy and efficiency

Method used

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  • A method for automatic generation of multi-semantic web entity comparison table oriented to coreference resolution
  • A method for automatic generation of multi-semantic web entity comparison table oriented to coreference resolution
  • A method for automatic generation of multi-semantic web entity comparison table oriented to coreference resolution

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Embodiment Construction

[0014] The overall process of the present invention is as follows figure 1 It consists of 5 parts: merge attributes with similar semantics in different data sources according to text and structural information, calculate attribute scores according to entity value distribution, calculate the redundancy between candidate attributes and selected attributes, select high scores and low scores Redundant key attributes, as well as generating visual entity comparison tables.

[0015] The specific implementation manners are described as follows:

[0016] 1. Merge semantically similar attributes from different data sources based on textual and structural information

[0017] For a set of candidate coreference entities, all "attribute-value" descriptions are extracted by dereference to the URI that identifies the entity. Using the attribute as the key, a hash table is established, and the content in the table is the set of entities that have values ​​on the corresponding attributes an...

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Abstract

The present invention discloses a coreference resolution-oriented multi-semantic web entity contrast table automatic generation method. The method comprises the following steps of: giving a set of candidate coreference entities, and combining attributes with similar semanteme in the set of entities according to structure and textual information first; then, scoring the attributes based on the combined attributes and value distribution of the entities in the attributes, calculating the redundancy of candidate attributes and selected attributes, choosing an attribute with high score and low redundancy to be added into a key attribute set, and repeating the step until a predetermined number of attributes are all selected or no attributes can be chosen; and at last, based on values of key attribute organization entities in key attributes, generating a visual entity contrast table for users to participate in entity coreference resolution. By applying the coreference resolution-oriented multi-semantic web entity contrast table automatic generation method provided by the present invention, the accuracy and efficiency of user participation in multi-semantic web entity coreference resolution are improved.

Description

technical field [0001] The invention relates to the semantic web, in particular to a method for automatically generating a multi-semantic web entity comparison table for coreference resolution. Background technique [0002] The Semantic Web is an important development direction of the World Wide Web, which provides the basis for knowledge representation, reasoning, exchange and reuse on the World Wide Web. The Semantic Web uses a set of "attributes-values" to describe the entities in it (entity, the following "entities" all refer to Semantic Web entities), which can be represented as a set {< p i ,v i >} n i =1, where p i represents a property, v i express p i value of . For example, Tim Berners-Lee, the inventor of the World Wide Web, whose name is represented in the Semantic Web data source DBpedia as <dbpedia:name, "Tim Berners-Lee">. Usually, the description of an entity contains dozens or even hundreds of such "attributes-values", and an attribut...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/955G06F16/958
Inventor 胡伟仇宏磊瞿裕忠
Owner NANJING UNIV
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