TY - GEN
T1 - Service Oriented Architecture For Knowledge Acquisition and Aggregation
AU - Hintz, Kenneth J.
AU - Llinas, James
AU - Sentz, Kari
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - KARPP
KW - knowledge aggregation
KW - service broker
KW - service oriented architecture
UR - https://www.scopus.com/pages/publications/85196732986
U2 - 10.1109/CogSIMA61085.2024.10553991
DO - 10.1109/CogSIMA61085.2024.10553991
M3 - Conference contribution
AN - SCOPUS:85196732986
T3 - 2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2024
SP - 16
EP - 23
BT - 2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2024
Y2 - 7 May 2024 through 10 May 2024
ER -