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

A Method of Sci-tech Expert Information Aggregation Based on Semantic Relationship of Knowledge Organization

A technology of knowledge organization and semantic relationship, applied in the fields of information science and knowledge engineering, to achieve the effect of semantic aggregation

Active Publication Date: 2018-04-03
INST OF SCI & TECHN INFORMATION OF CHINA
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for aggregating scientific and technical expert information based on the semantic relationship of knowledge organization, thereby solving the aforementioned problems existing in the prior art

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
  • A Method of Sci-tech Expert Information Aggregation Based on Semantic Relationship of Knowledge Organization
  • A Method of Sci-tech Expert Information Aggregation Based on Semantic Relationship of Knowledge Organization
  • A Method of Sci-tech Expert Information Aggregation Based on Semantic Relationship of Knowledge Organization

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0078] Specific embodiments: The embodiment of the present invention provides a method for aggregating scientific and technological experts in the field of "oncology" based on knowledge organization semantic relations, including the following steps:

[0079] S1. From the literature database, extract the literature metadata of the "oncology" category in the "Chinese Book and Material Classification". The literature types include journal papers, conference papers, dissertations, scientific reports, patents, etc.; metadata fields include Document title, author, institution, keywords, classification code, citation, h-index, source, etc. Count , and use the experts whose keyword frequency is more than 10 as candidate experts; count , use candidate experts corresponding to keywords with citation times more than 10 as candidate experts, and generate data table. At the same time, through the co-occurrence calculation of literature authors, the collaborators related to the candidate ...

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 invention discloses a sci-tech expert information aggregation method based on a semantic relation of knowledge organization, and relates to the technical fields of information science and knowledge engineering. The method provided by the invention has the advantages that the semantic aggregation, automatic discovery and dynamic updating of expert information are realized in a semantic relation framework of knowledge organization tools by semantically associating expert information with the knowledge organization tools, and the selection requirements for expert academic authority, professional correlation, research activity, dynamic update and peer avoidance are met, so that the experts can be selected more objectively and accurately.

Description

technical field [0001] The invention relates to the technical fields of information science and knowledge engineering, in particular to a method for aggregating scientific and technical expert information based on knowledge organization semantic relations. Background technique [0002] Experts refer to those who have specialized research in a certain subject or are good at a certain technology. They are the most valuable human resources in our country and play a pivotal role in scientific research, project review, achievement transformation, and decision-making consultation. Scientific research projects, especially major national scientific research projects, usually have important characteristics such as large disciplinary span, wide influence, strong professionalism and innovation, and often need to rely on peer review experts with higher academic authority, professional relevance and research activity , and achieve objective review through expert update mechanism and avoi...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/35G06F16/36G06F16/9558G06F16/9566G06F40/30
Inventor 宋培彦梁冰赵志远
Owner INST OF SCI & TECHN INFORMATION OF CHINA
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