本研究目的為：一、以「信息戰」詞彙庫為基礎，結合正規化概念分析流程，以自動化方式建立知識本體；二、整合知識本體及關聯規則來建置中共「信息戰」軍事新聞資料查詢系統雛型，希望能藉由知識概念之層級與相似程度來產生查詢之語意關鍵詞，進行查詢關鍵字之推薦。研究成果驗證自動化建立知識本體之效率高且可接受，且擴展查詢雛型系統亦具有提升資訊檢索之效能。「信息戰」知識本體亦可做為未來相關研究之運用參考。

The purpose of this study is to integrate the procedure of Formal Concept Analysis (FCA)in an automatic way for constructing an ontology based on the vocabulary of “Information Warfare”. Besides, this study uses the methods of ontology and association rule to design a retrieval prototype of the PRC military news so as to analyze the similarity of semantic
concepts; and further to recommend expanded keywords for users. The outcome of this research examines that using an automated method to build ontology has a higher efficiency,and the prototype of Query Expansion system has also improved the effectiveness of information retrieval. Besides, "Information Warfare" ontology can also be used as a reference
to the future research.