Semantic Information Management Systems
Tactical networks face significant challenges in dynamic, contested environments, where variable performance, adversarial actions, and mobile infrastructure strain reliable communications. Efficient data management is critical, as the volume of generated data often exceeds available bandwidth. Tradi...
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Published in | International Conference on Military Communications and Information Systems (Online) pp. 1 - 9 |
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Main Authors | , , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
13.05.2025
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Subjects | |
Online Access | Get full text |
ISSN | 2993-4974 |
DOI | 10.1109/ICMCIS64378.2025.11047741 |
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Abstract | Tactical networks face significant challenges in dynamic, contested environments, where variable performance, adversarial actions, and mobile infrastructure strain reliable communications. Efficient data management is critical, as the volume of generated data often exceeds available bandwidth. Traditional rule-based Information Management Systems (IMS) prioritize data flows based on attributes like provenance and priority, but fail to consider semantic content, creating a gap between commanders' needs and system functionality. This paper introduces a novel multi-modal Semantic Information Management System (SIMS) architecture to address these challenges. By incorporating semantic queries and subscriptions, the system enables content-driven information exchange, prioritizing critical data based on its semantic value. Key technologies include Machine Learning-driven transformations and Large Language Model-enabled semantic analysis, ensuring enhanced situational awareness and mission coordination. Experimental evaluations demonstrate the architecture's accuracy in semantic extraction and potential to transform tactical network communications, paving the way for more resilient and effective information management strategies in modern warfare. This paper was originally presented at the NATO Science and Technology Organization Symposium (ICMCIS) organized by the Information Systems Technology (IST)Scientific and Technical Committee, IST-209-RSY - the ICMCIS, held in Oeiras, Portugal, 13-14 May 2025. |
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AbstractList | Tactical networks face significant challenges in dynamic, contested environments, where variable performance, adversarial actions, and mobile infrastructure strain reliable communications. Efficient data management is critical, as the volume of generated data often exceeds available bandwidth. Traditional rule-based Information Management Systems (IMS) prioritize data flows based on attributes like provenance and priority, but fail to consider semantic content, creating a gap between commanders' needs and system functionality. This paper introduces a novel multi-modal Semantic Information Management System (SIMS) architecture to address these challenges. By incorporating semantic queries and subscriptions, the system enables content-driven information exchange, prioritizing critical data based on its semantic value. Key technologies include Machine Learning-driven transformations and Large Language Model-enabled semantic analysis, ensuring enhanced situational awareness and mission coordination. Experimental evaluations demonstrate the architecture's accuracy in semantic extraction and potential to transform tactical network communications, paving the way for more resilient and effective information management strategies in modern warfare. This paper was originally presented at the NATO Science and Technology Organization Symposium (ICMCIS) organized by the Information Systems Technology (IST)Scientific and Technical Committee, IST-209-RSY - the ICMCIS, held in Oeiras, Portugal, 13-14 May 2025. |
Author | Fronteddu, Roberto Tortonesi, Mauro Colombi, Lorenzo Dahdal, Simon Morelli, Alessandro Stefanelli, Cesare Suri, Niranjan Ardinghi, Umberto |
Author_xml | – sequence: 1 givenname: Roberto surname: Fronteddu fullname: Fronteddu, Roberto email: rfronteddu@ihmc.org organization: Florida Institute for Human and Machine Cognition (IHMC),Pensacola,FL,USA – sequence: 2 givenname: Umberto surname: Ardinghi fullname: Ardinghi, Umberto email: umberto.ardinghi@unife.it organization: University of Ferrara,Distributed Systems Research Group,Ferrara,Italy – sequence: 3 givenname: Lorenzo surname: Colombi fullname: Colombi, Lorenzo email: lorenzo.colombi@unife.it organization: University of Ferrara,Distributed Systems Research Group,Ferrara,Italy – sequence: 4 givenname: Simon surname: Dahdal fullname: Dahdal, Simon email: simon.dahdal@unife.it organization: University of Ferrara,Distributed Systems Research Group,Ferrara,Italy – sequence: 5 givenname: Alessandro surname: Morelli fullname: Morelli, Alessandro email: amorelli@ihmc.org organization: Florida Institute for Human and Machine Cognition (IHMC),Pensacola,FL,USA – sequence: 6 givenname: Mauro surname: Tortonesi fullname: Tortonesi, Mauro email: mauro.tortonesi@unife.it organization: University of Ferrara,Distributed Systems Research Group,Ferrara,Italy – sequence: 7 givenname: Cesare surname: Stefanelli fullname: Stefanelli, Cesare email: cesare.stefanelli@unife.it organization: University of Ferrara,Distributed Systems Research Group,Ferrara,Italy – sequence: 8 givenname: Niranjan surname: Suri fullname: Suri, Niranjan email: nsuri@ihmc.org organization: Florida Institute for Human and Machine Cognition (IHMC),Pensacola,FL,USA |
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SubjectTerms | Communication Optimization Computer architecture Data mining Information management Natural languages Organizations Reliability Semantic communication Semantic Retrieval Semantics Strain Tactical Networks Transforms |
Title | Semantic Information Management Systems |
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