Both conceptual modeling and machine learning have long been recognized as important areas of research. With the increasing emphasis on digitizing processing large amounts data for business other applications, it would be helpful to consider how these research can complement each other. To understand they paired, we provide an overview foundations development cycle. We then examine applied prop...

Conceptual data modeling has become essential for non-traditional application areas. Some conceptual data models have been proposed as tools for database design and object-oriented database modeling. Information in real-world applications is often vague or ambiguous. Currently, a little research is underway on modeling the imprecision and uncertainty in conceptual data modeling and the conceptu...

Many exciting potential application areas for database technology manage time-varying, spatial information. In contrast, existing database techniques, languages, and associated tools provide little built-in support for the management of such information. The focus of this paper is on enhancing existing conceptual data models with new constructs, improving their ability to conveniently model spa...

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

The purpose of validating a conceptual schema is to guarantee that it properly reflects what the user needs from an application. This task is not fully formalizable, so it is desirable to provide the designer with a set of tools that assist him or her in the validation process. A conceptual schema specifies the relevant information about the domain, and how this information changes as a result ...