STONewsArchive: Multi-Level Fusion of Hard and Soft Information

Title: Multi-Level Fusion of Hard and Soft Information
Start_Publishing: 15/11/2021
Panel_Page: IST
Page_ID: 3854
Main_Body_Multi: The exploitation of all relevant information originating from a growing mass of heterogeneous sources, both device-based and human-generated, is a key factor to obtain information superiority, one of the primary issues for military dominance. There is a growing need to effectively identify relevant information from the available mass, and exploit it through automatic fusion for timely, comprehensive and accurate situation awareness. The IST-132 Research Task Group was established to conduct research on data and information fusion by incorporating structured and unstructured human generated information (soft data) facing the complex relevant information context and heterogeneous data structures from various civilian and military organisations and sources. This activity’s aim was to demonstrate the usefulness of Controlled Language (BML) as a mechanism to facilitate integrated exploitation of data and information from different type of sources and on different levels of fusion, as well as to improve threat detection and modelling, including dealing with uncertainty and detection of anomalous behaviour as a result of the holistic processing of data and information. The report, entitled ”Information Filtering and Multi-Source Information Fusion”, is available on the STO website.

Page_Intro: The IST-132 Research Task Group was established to conduct research on data and information fusion by incorporating structured and unstructured human generated information (soft data) facing the complex relevant information context and heterogeneous data structures from various civilian and military organisations and sources. This activity’s aim was to demonstrate the usefulness of Controlled Language (BML) as a mechanism to facilitate integrated exploitation of data and information from different type of sources and on different levels of fusion, as well as to improve threat detection and modelling, including dealing with uncertainty and detection of anomalous behaviour as a result of the holistic processing of data and information. The report, entitled ”Information Filtering and Multi-Source Information Fusion”, is available on the STO website.

HomePageImage: 2021-IST-132.jpg
HomePageBodyText: The exploitation of all relevant information originating from a growing mass of heterogeneous sources, both device-based and human-generated, is a key factor to obtain information superiority, one of the primary issues for military dominance. There is a growing need to effectively identify relevant information from the available mass, and exploit it through automatic fusion for timely, comprehensive and accurate situation awareness. The IST-132 Research Task Group was established to conduct research on data and information fusion by incorporating structured and unstructured human generated information (soft data) facing the complex relevant information context and heterogeneous data structures from various civilian and military organisations and sources. This activity’s aim was to demonstrate the usefulness of Controlled Language (BML) as a mechanism to facilitate integrated exploitation of data and information from different type of sources and on different levels of fusion, as well as to improve threat detection and modelling, including dealing with uncertainty and detection of anomalous behaviour as a result of the holistic processing of data and information. The report, entitled ”Information Filtering and Multi-Source Information Fusion”, is available on the STO website.


Created at 16/11/2021 09:11 by ad.rodes
Last modified at 16/11/2021 16:53 by ad.rodes
 
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