數(shù)據(jù)庫(kù)系統(tǒng)和知識(shí)庫(kù)系統(tǒng)有許多共同的原則。數(shù)據(jù)與知識(shí)工程（DKE）促進(jìn)了這兩個(gè)相關(guān)領(lǐng)域之間的思想交流和互動(dòng)。DKE吸引了世界各地的研究人員、設(shè)計(jì)師、管理人員和用戶。期刊的主要目標(biāo)是識(shí)別、調(diào)查和分析設(shè)計(jì)和有效使用這些系統(tǒng)的基本原則。DKE通過(guò)發(fā)布有關(guān)數(shù)據(jù)工程、知識(shí)工程和這兩個(gè)領(lǐng)域的接口的原始研究成果、技術(shù)進(jìn)展和新聞項(xiàng)目來(lái)實(shí)現(xiàn)這一目標(biāo)。DKE涵蓋以下主題：1、數(shù)據(jù)和知識(shí)的表示和操作：概念數(shù)據(jù)模型。知識(shí)表示技術(shù)。數(shù)據(jù)/知識(shí)操作語(yǔ)言和技術(shù)。2、數(shù)據(jù)庫(kù)、專家或基于知識(shí)的系統(tǒng)的體系結(jié)構(gòu)：數(shù)據(jù)庫(kù)/知識(shí)庫(kù)/專家系統(tǒng)的新體系結(jié)構(gòu)、設(shè)計(jì)和實(shí)現(xiàn)技術(shù)、語(yǔ)言和用戶界面、分布式體系結(jié)構(gòu)。3、數(shù)據(jù)/知識(shí)庫(kù)的構(gòu)建：數(shù)據(jù)/知識(shí)庫(kù)設(shè)計(jì)方法和工具、數(shù)據(jù)/知識(shí)獲取方法、完整性/安全性/維護(hù)問題。4、應(yīng)用、案例研究和管理問題：數(shù)據(jù)管理問題、知識(shí)工程實(shí)踐、辦公室和工程應(yīng)用。5、使用基于語(yǔ)言學(xué)或人機(jī)界面原理的工具指定和開發(fā)數(shù)據(jù)和知識(shí)庫(kù)的工具。6、在網(wǎng)絡(luò)空間中實(shí)施、設(shè)計(jì)和使用KBS涉及的通信方面。加上…會(huì)議報(bào)告、活動(dòng)日程、書評(píng)等。

atabase Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.DKE covers the following topics:1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues.4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.Plus... conference reports, calendar of events, book reviews etc.