Semantic-Based Resource Matching Method

Abstract

Invent a resource matching method based on semantics, which is a resource matching technology based on semantic ontology. The method includes: obtaining a query statement of scientific and technological service resources in the form of natural language; performing word segmentation processing on the natural language query statement to obtain retrieval keywords; The preprocessing of technology service resources filters out resources that obviously do not meet customer needs; considers the attribute information such as the name of technology service resources, detailed descriptions, and their service capabilities, and calculates the related multi-concept semantic similarity between technology service resources and customer needs. Semantic matching: the customer selects and sets different weights for indicators such as QoS of scientific and technological service resources, calculates the degree to which the QoS indicators of scientific and technological service resources meet customer needs, and sorts them accordingly. The invention improves the retrieval accuracy of the scientific and technological service resource information, and better satisfies user requirements in terms of completeness and accuracy.

Description

technical field [0001] The invention relates to the field of semantic ontology detection, in particular to a system and method for resource matching of scientific and technological services. Background technique [0002] In the traditional service resource recommendation method, when it is necessary to query a certain technology service resource, there are great defects in relying only on the traditional keyword search, vertical search, and structural search, which are specifically manifested in [0003] (1) The user cannot accurately describe the target of the query; [0004] (2) Cannot measure the matching degree between the candidate and the query target; [0005] (3) Semantic operations such as refinement, generalization, and horizontal expansion cannot be used for query. [0006] Under the influence of these factors, it will lead to the inability to comprehensively and systematically search for the expected technological service resources and fail to meet the needs of...

AI Technical Summary

Problems solved by technology

[0003] (1) The user cannot accurately describe the target of the query;

[0004] (2) Cannot measure the matching degree between the candidate and the query target;

[0005] (3) Semantic operations such as refinement, generalization, and horizontal expansion cannot be used for query

[0006] Under the influence of these factors, it will lead to the inability to comprehensively and systematically search the expected technological service resources and fail to meet the needs of users

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