Architecture to Productize Semantic Transformation by Utilizing Natural Language Processing with Microservices

被引：0

作者：

Reimer, Tim ^{[1
]}

机构：

[1] Univ Calgary, Dept Elect & Software Engn, Calgary, AB, Canada

来源：

2023 INTERNATIONAL CONFERENCE ON ADVANCED ENTERPRISE INFORMATION SYSTEM, AEIS 2023 | 2023年

关键词：

microservices; semantic transformation; natural language processing; microservice orchestration; natural language queries; choreographed microservices; orchestrated microservices; graph databases; traversal patterns;

D O I：

10.1109/AEIS61544.2023.00013

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Semantic transformation is a necessary requirement in translating message values between various applications so that these messages can be processed. The transformation utilizes several patterns that can be implemented using a microservices architecture. The collaboration of these microservices needs to be managed. This paper discusses the orchestrated and choreographed approaches for this scenario. To demonstrate the choreographed approach, the paper presents a natural language query processing solution that can use custom vocabularies for microservice invocations to achieve semantic message transformations.

引用

页码：35 / 41

页数：7

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