KnowID: An Architecture for Efficient Knowledge-Driven Information and Data Access

One table and five figures of this paper. Table 1 is a summary of the distinguishing features of varying computational cost. Figure 1 is a high-level overview of the four approaches, where Lx means (declarative) representation language and Qx the query language. K is shorthand for the information and knowledge-level content and D is shorthand for instance-level content, irrespective of the formalism and technology used. Figure 2 shows two graphical renderings of a sample ARM schema, resembling a relational model graphical notation (left; source: based on a section of the diagram in ref. [10]) and in ontology-like notation similar to the ARM notation in ref.[25]. Figure 3 shows extending ARM+SQLP toward KnowID, i.e., adding a knowledge layer to the architecture, into the Knowledge-driven Information and Data access, KnowID, architecture. Figure 4 shows possible EER diagram reconstructed from the ARM diagram of Example 2. Figure 5 is an overview of the KnowID transformation tool architecture.

本文包含1张表格与5幅插图。表1为不同计算成本下的差异化特征汇总。图1为四种方法的高层概览，其中Lx代表（声明式）表示语言，Qx代表查询语言。K为信息与知识层内容的简写，D为实例层内容的简写，二者与所采用的形式化方法及技术均无关。图2展示了样本ARM模式的两种图形化呈现形式：一种为类关系模型图形表示法（左侧，素材源自参考文献[10]中的部分图表），另一种为类本体表示法，与参考文献[25]中的ARM表示法相仿。图3展示了将ARM+SQLP扩展至知识驱动型信息与数据访问（Knowledge-driven Information and Data access, KnowID）架构的过程，即向该架构中新增知识层。图4为基于示例2的ARM图表重构得到的扩展实体-联系（Extended Entity-Relationship, EER）示意图。图5为KnowID转换工具架构的概览。