Service Oriented Architecture For Knowledge Acquisition and Aggregation

被引：0

作者：

Hintz, Kenneth J. ^{[1
]}

Llinas, James ^{[2
]}

Sentz, Kari ^{[3
]}

机构：

[1] State Univ NY Buffalo, Mech & Aerosp Engn Dept, Buffalo, NY 14222 USA

[2] State Univ NY Buffalo, Ind & Syst Engn Dept, Buffalo, NY USA

[3] Los Alamos Natl Lab, Comp Computat & Stat Sci Div, Los Alamos, NM USA

来源：

2024 IEEE CONFERENCE ON COGNITIVE AND COMPUTATIONAL ASPECTS OF SITUATION MANAGEMENT, COGSIMA | 2024年

关键词：

KARPP; knowledge aggregation; service oriented architecture; service broker;

D O I：

10.1109/CogSIMA61085.2024.10553991

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Situation management involves the acquisition and dissemination of knowledge to effect situation awareness and assessment. In a companion paper, the concept of Knowledge Acquisition, Representation, Processing, & Presentation (KARPP) system has been introduced. In that paper, it was proposed to manage an adaptive data fusion process including the decomposition of a sensor and database knowledge acquisition and aggregation system into a service oriented architecture (SOA) of knowledge aggregation services (KAS) with standards-based inputs and outputs which are implemented in hidden processes. This paper reviews current approaches to SOA and expands the KARPP architecture into a taxonomy of required and support services as well as discusses particulars of a self-organizing implementation of KARPP in a dynamic SOA of microservices. In addition to a taxonomy of services, a self-documenting approach is introduced to allow for preplanned product improvement (PPI) and incremental development as well as the concept of a Knowledge Aggregation System Service broker.

引用

页码：16 / 23

页数：8

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