Semantic query method based on medicine body library

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...

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. 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 due to the absence of semantic processing functions, and the ideal effect of efficient and accurate query cannot be achieved.

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