A Strategy to identify Data from the Same Object based on MIP Data Model

被引：1

作者：

Correa de Souza, Luciene Carvalho ^{[1
]}

Pinheiro, Wallace Anacleto ^{[1
]}

机构：

[1] Mil Inst Engn IME, Dept Comp Engn, Rio De Janeiro, Brazil

来源：

2013 1ST BRICS COUNTRIES CONGRESS ON COMPUTATIONAL INTELLIGENCE AND 11TH BRAZILIAN CONGRESS ON COMPUTATIONAL INTELLIGENCE (BRICS-CCI & CBIC) | 2013年

关键词：

Data Fusion; Information Overload; Command and Control; Situational Awareness; JC3IEDM and Duplication; DATA FUSION;

D O I：

10.1109/BRICS-CCI-CBIC.2013.118

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Currently managing information overload has become a major challenge. How to manage all these data, presented in diverse formats and originating from heterogeneous sources? This paper presents a strategy to perform data fusion effectively. Our strategy deals with the problem of object identification in the context of the Command and Control of the Brazilian Defense Ministry using MIP1 Data Model from NATO(2), also known as JC3IEDM(3). For that, data duplication strategies will be used, as well as clustering, search and information retrieval techniques to study similarity, such as TF-IDF and Thesauri.

引用

页码：675 / 680

页数：6

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