STONewsArchive: Knowledge Representation and Reasoning

Title: Knowledge Representation and Reasoning
Start_Publishing: 09/04/2021
Panel_Page: IST
Page_ID: 3803
Main_Body_Multi: IST-ET-111 Exploratory Team (ET) on Knowledge Representation and Reasoning – Report Published on the STO Website 

As the number of sensors, feeds and other data sources available to coalition operations increases; the focus of technology development is turning to ensuring such sources process data in-situ and provide useful structured/pertinent observations. The integrated exploitation of observations, and the representation of information and knowledge, is at the heart of concepts like “Information Advantage” and in achieving the higher level data fusion identified in the JDL Fusion Model. The challenge now is to be ready to integrate those observations to support situational awareness and understanding across an entire operation, enabling human/machine teams at all levels of command and across multi-national coalitions. In support of high level data fusion, there is now a foundational need for information and knowledge to be understandable by humans and machines. Knowledge representation is the expression of knowledge in computer-tractable form in order for it to be exploited. IST-ET-111 has been established to share understanding across NATO nations on the status of Knowledge Representation and Reasoning (KRR), in order to understand the current state of the art and to consider if future collaborative activities would be beneficial. Its review aims to provide a technical introduction to the field of KRR the capabilities of knowledge systems, and to provide specific examples on how knowledge systems can be created, as well as how such systems can be applied to real-world military problems in order to facilitate successful implementation and integration of KRR with NATO systems and doctrine. After reviewing wider research, including how text analytics can support the extraction of knowledge from reports and other sources of text, work on causality and the problems of trust in reasoning systems, IST-ET-111’s report concludes with a summary of its findings and implications for the Alliance by presenting key recommendations for future work. The full report is available from this website. For further information, please contact the IST Panel Office.

Page_Intro: IST-ET-111 Exploratory Team (ET) on Knowledge Representation and Reasoning – Report Published on the STO Website 

The full report is available from this website. For further information, please contact the IST Panel Office.

HomePageImage: big-data-analytics.jpeg
HomePageBodyText: IST-ET-111 Exploratory Team (ET) on Knowledge Representation and Reasoning – Report Published on the STO Website 

As the number of sensors, feeds and other data sources available to coalition operations increases; the focus of technology development is turning to ensuring such sources process data in-situ and provide useful structured/pertinent observations. The integrated exploitation of observations, and the representation of information and knowledge, is at the heart of concepts like “Information Advantage” and in achieving the higher level data fusion identified in the JDL Fusion Model. The challenge now is to be ready to integrate those observations to support situational awareness and understanding across an entire operation, enabling human/machine teams at all levels of command and across multi-national coalitions. In support of high level data fusion, there is now a foundational need for information and knowledge to be understandable by humans and machines. Knowledge representation is the expression of knowledge in computer-tractable form in order for it to be exploited. IST-ET-111 has been established to share understanding across NATO nations on the status of Knowledge Representation and Reasoning (KRR), in order to understand the current state of the art and to consider if future collaborative activities would be beneficial. Its review aims to provide a technical introduction to the field of KRR the capabilities of knowledge systems, and to provide specific examples on how knowledge systems can be created, as well as how such systems can be applied to real-world military problems in order to facilitate successful implementation and integration of KRR with NATO systems and doctrine. After reviewing wider research, including how text analytics can support the extraction of knowledge from reports and other sources of text, work on causality and the problems of trust in reasoning systems, IST-ET-111’s report concludes with a summary of its findings and implications for the Alliance by presenting key recommendations for future work. The full report is available from this website. For further information, please contact the IST Panel Office.


Created at 09/04/2021 14:48 by ad.rodes
Last modified at 09/04/2021 14:48 by ad.rodes
 
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