journal article·2019-12-25Open access

A Heterogeneous Battlefield Situation Information Sharing Method Based on Content

Cuntao Liu, Wendong Zhao, Aijing Li, Junsheng Zhang

Applied Sciences· Volume 10· Issue 1

Abstract

Various information systems adopt different information category standards and description methods even for the same battlefield space. This leads to the heterogeneity of information distributed in different systems, which hinders the information sharing among different systems. In this paper, we adopt the idea of schema mapping and design a framework of realizing heterogeneous information sharing based on content. We design a concept-logic tree model to organize the battlefield situation information and realize the mapping from local concept models in different systems to a global unified concept model. By constructing a unified information space, we realize the centralized organization, storage, and management of entity description information. Then, the information broadcasting mechanism and content based information query mechanism are designed to realize information sharing. Theoretical analysis and experiment results verify the effectiveness of the proposed framework.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Cognitive Computing and Networks · Semantic Web and Ontologies · Biomedical Text Mining and Ontologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Graduate School, Army Engineering University of PLA, Nanjing 210000, China

Communications Engineering College, Army Engineering University of PLA, Nanjing 210000, China

Key Laboratory of Intelligent Information Processing in Chinese Academy of Sciences, Beijing 100864, China

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