半结构化数据库系统的概念级设计：基于图-语义的方法

Conceptual Temporal Modeling Applied to Databases

We present a different approach to developing a concept of time for specifying temporality in the conceptual modeling of software and database systems. In the database field, various proposals and products address temporal data. The difficulty with most of the current approaches to modeling temporality is that they represent and record time as just another type of data (e.g., values of a bank balance or amounts of money), instead of appreciating that time and its values are unique, in comparison to typical data attributes. Time is an engulfing phenomenon that lifts a system s entire model from…

概念实体-关系模型：在简单性与静态性之下

Conceptual Entity-Relationship Model: Underneath the Simplicity and Staticity

本文利用事物机（TM）重新建模实体-关系（ER）模型，通过在实体、属性和关系中注入动态动作，揭示 ER 静态简单性之下的机制，并实现与关系数据库模型的直接兼容。

Conceptual Data Modeling: Entity-Relationship Models as Thinging Machines

Data modeling is a process of developing a model to design and develop a data system that supports an organization s various business processes. A conceptual data model represents a technology-independent specification of structure of data to be stored within a database. The model aims at providing richer expressiveness and incorporating a set of semantics to (a) support the design, control, and integrity parts of the data stored in data management structures and (b) coordinate viewing of connections and ideas on a database. The described structure of the data is often represented in an entity…

Structured Spreadsheet Modelling and Implementation with Multiple Dimensions -- Part 2: Implementation

In Part 1, we showed how to develop a conceptual model of a problem involving variables of multiple dimensions, like Products, Regions, Sectors and Months. The conceptual model is presented as a Formula Diagram, giving a global view of the interaction between all the variables, and a Formula List, giving a precise view of the interaction between the variables. In this paper, we present precise steps to implement a multi-dimensional problem in a way that will produce a spreadsheet that is easy to maintain

一种先进的人工智能驱动数据库系统

An advanced AI driven database system

本文提出一种集成LLM与先进机器学习算法的AI驱动数据库系统，通过NLP界面、自动查询生成、模式推理与格式选择降低数据库使用门槛并减少手动调优和人为错误。

半结构化数据提取和建模：WIA项目

Semi-structured data extraction and modelling: the WIA Project

在过去的几十年里，各种电子数据的数量急剧增加。数据可通过一系列接口访问，包括Web浏览器、数据库查询语言、基于多种不同数据交换格式的特定应用程序接口。所有这些数据从非结构化数据到高度结构化数据。通常，它们中的一些具有结构，即使结构是隐式的，并且不像标准数据库系统中那样严格或规则。电子表格文档在这方面是典型的。电子表格是一种轻量级技术，能够为公司提供易于构建的业务管理和商业智能应用程序，商务人员在很大程度上采用电子表格作为生成和共享数据文件的智能工具。实际上，电子表格的复杂性越大（例如，它们在产品开发计划和报价中的使用），它们的安排、维护和分析就越像是一种知识驱动的活动。从电子表格文档中自动提取数据结构问题的算法方法（即，网格结构和自由的拓扑相关数据）来自WIA项目：工作表智能分析器。WIA算法显示了如何提供更高级别的抽象或概念化方面的电子表格内容的描述。特别地，WIA算法的目标是关于i）在电子表格公式中实现的微积分工作流和ii）参与微积分的数据所扮演的逻辑角色的提取。由此产生的概念化的目的是提供电子表格的抽象表示有用的进一步模型改进和优化，通过进化算法计算。