Schema mappings specify how data organized under a source schema should be reorganized under a target schema. For tree-structured data, the interplay between these specifications and the complex structural conditions imposed by the schemas, makes schema mappings a very rich formalism. Classical data management tasks, well-understood in the relational model, once again become challenging theoret...

The Resource Space Model is a new semantic data model for managing various resources. Based on the model, this paper proposes a view mechanism for finding and reusing legacy Resource Spaces according to users’ idiosyncratic interests. It establishes flexible reorganizing mechanism of legacy Resource Spaces to reduce redundant work. As a viewpoint organization strategy, the resource subject tree...

Semantic information is often represented as the entities and the relationships among them with conventional semantic models. This approach is straightforward but is not suitable for many posteriori requests in semantic data modeling. In this paper, we propose a meaningoriented approach to modeling semantic data and establish a graph-based semantic data model. In this approach we use the meanin...

Data modeling is the sine quo non of systems development and one of the most widely researched topics in the database literature. In the past three decades, semantic data modeling has emerged as an alternative to traditional relational modeling. The majority of the research in data modeling suggests that the use of semantic data models leads to better performance; however, the findings are not ...

The information model was conceived to address the complexities of managing large volumes of data, processes, designs, and tools that are shared by many business users with differing requirements. Because an information model derives much of its features from data models, the distinction between information modeling and data modeling is sometimes unclear. One perspective is that information mod...

This paper explores the importance of semantic integrity during data warehouse design and its impact on the successful use of the implemented warehouse. This was achieved through a detailed case study. Consequently, a conceptual framework for describing intersubjective meaning in data modelling has been developed. The purpose of the framework is to provide a theoretical basis for explaining how...

A capability maturity model for data acquisition and utilisation.

The paper describes a method for relational data model estimation from input web data and usage of this method. It includes also its principal limitations and shows the model usage for a more effective storage into a repository. The repository is implemented as the universal relation. The properties of the model are described as well.