Coreference resolution-oriented multi-semantic web entity contrast table automatic generation method

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

Active Publication Date: 2016-01-20
NANJING UNIV
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  • Abstract
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  • Claims
  • Application Information

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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

Method used

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  • Coreference resolution-oriented multi-semantic web entity contrast table automatic generation method
  • Coreference resolution-oriented multi-semantic web entity contrast table automatic generation method
  • Coreference resolution-oriented multi-semantic web entity contrast table automatic generation method

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Embodiment Construction

[0014] The overall process of the present invention is as figure 1 As shown, it includes 5 parts: Merge attributes with similar semantics in different data sources according to text and structure information, calculate attribute scores according to entity value distribution, calculate redundancy between attributes to be selected and selected attributes, select high scores and low Redundant key attributes, and generate a visual entity comparison table.

[0015] The specific implementation is described as follows:

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

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

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

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/955G06F16/958
Inventor 胡伟仇宏磊瞿裕忠
Owner NANJING UNIV
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