Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF3 Cites 7 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/30
CPCG06F16/955G06F16/958
Inventor 胡伟仇宏磊瞿裕忠
Owner NANJING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com