Semantic query method based on medicine body library

A semantic query and ontology library technology, applied in the field of intelligent retrieval, can solve the problems of no semantic processing, too much irrelevant information, poor support ability, etc., to achieve the effect of easy implementation, clear system architecture, and improved efficiency and accuracy

Active Publication Date: 2015-09-23
NANJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The traditional text information retrieval technology based on keyword matching has poor support for semantic matching. It only matches the keywords after word segmentation with the words in the index database, and cannot correctly understand and process the user's retrieval semantics and intentions. Inaccura

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
  • Semantic query method based on medicine body library
  • Semantic query method based on medicine body library
  • Semantic query method based on medicine body library

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0035] The invention will be further described in detail below in conjunction with the accompanying drawings of the specification.

[0036] Such as figure 1 The drug ontology library of the present invention needs to be constructed with the help of domain experts and with reference to the framework method. First, the ontology is captured, that is, with the help of domain experts, the concept terms and their relationships in the pharmaceutical field are obtained to ensure these concept terms And the relationship is unambiguous, and then the drug is structured, and then the body is evaluated to determine whether the body of the crude drug meets the standard. If it meets the standard, the body is saved in the form of a file, otherwise it returns to the body capture stage, and finally the drug The ontology information is saved in the form of files.

[0037] Such as figure 2 , The method for querying drug information of the present invention specifically includes the following:

[0038...

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 semantic query method based on a medicine body library. According to the method, bodies in the medicine body library are constructed under the assistance of a field expert in reference to a skeleton method. The bodies are constructed through the following steps: capturing the bodies, namely, acquiring concepts and terminologies and relations thereof in the medicine field under the assistance of the field expert, and determining that the concepts and terminologies and the relations are unambiguous; structurally representing medicine; performing body evaluation: judging whether or not crude medicine bodies are consistent with a standard, if so, saving the bodies in the forms of files, otherwise returning to a body capturing stage; and finally, saving medicine body information in the forms of files.

Description

technical field [0001] This patent relates to a semantic query method based on a drug ontology database, which belongs to the field of intelligent retrieval technology. Background technique [0002] The traditional text information retrieval technology based on keyword matching has poor support for semantic matching. It only matches the keywords after word segmentation with the words in the index database, and cannot correctly understand and process the user's retrieval semantics and intentions. Inaccurate, too much irrelevant information, etc. Although the retrieval technology based on keyword matching has been improved many times, the retrieval performance has not been fundamentally improved because of the absence of semantic processing functions, and the ideal effect of efficient and accurate query cannot be achieved. [0003] Ontology is a concept derived from philosophy. It originally meant the theory of existence, its essence and laws. It was later introduced in the f...

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): G06F17/30G06F17/27
CPCG06F16/2462G06F40/30
Inventor 叶宁杨铄黄海平沙超王汝传
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products