There are many problems in conceptual modeling process, such as sharing difficulty in modeling conception, complexity of modeling method, difficulty in cooperative modeling by experts from different domains, and so on. To solve those problems, by establishing expression rules of metadata and semantics of geographical models, introductive geographical modeling approaches is put forward here to r...

Effective conceptual modeling requires a shared understanding of the concepts that are found in an application domain. Achieving such understanding, especially for large design problems, is a challenging, and long-standing problem. Conceptual models tend to be either subjective representations of individuals that require mutual knowledge sharing between members of a modeling team or externalize...

It is generally recognized that conceptual modeling is one of the most vital parts of a simulation study. At the same time, it also seems to be one of the least understood. A review of the extant literature on conceptual modeling reveals a range of issues that need to be addressed: the definition of conceptual model(ling), conceptual model requirements, how to develop a conceptual model, concep...

the main purpose of this research is to investigate the role of knowledge management in the holographic organizations. in order to achieve this purpose, after reviewing research background and theoretical foundations, the research’s conceptual framework has been presented. the statistical population includes ilam medical sciences academic members. the method used is applied in terms of objectiv...

We analyze thematic trends and challenging issues in conceptual modeling based on the metadata of 943 research papers published in a series of conferences on conceptual modeling (known as the ER conferences) between 1979 and 2005. We specifically address 1) all-time prominent challenges in conceptual modeling, 2) current challenges and emerging trends, and 3) the structure and dynamics of the c...

In Information Systems research conceptual modeling is an important field. Wand and Weber for example distinguish four elements: conceptual modeling grammars, conceptual modeling methods, conceptual modeling scripts, and conceptual modeling contexts [WaWe02]. With these elements they discuss the research opportunities to gain and evaluate results like artifacts. A common way to ensure a statist...

The history of the computing sciences shows a shift in attention from the syntactic properties of computation to the semantics of computing in the real world. A large part of this shift has been brought about by the introduction of conceptual modeling languages. In this paper I review this history from the early 1970s and identify the elements of real-world semantics that these notations have b...