Zrenjanin , Serbia INTEGRATION OF CONCEPTUAL DATA MODELLING METHODS IN INFORMATION SYSTEM DEVELOPMENT (original) (raw)

Integration of Conceptual Data Modelling Methods in Information System Development

2011

One of the most important phases of information sys tem development include data modelling processes, where conceptual data modelling presents an essenci al part. There are many approaches and methods formally based or those that give heuristics as gui delines. This paper aims to present integration of models for conceptual data modelling. Special emphasize is giv en to comparison of methods and integration of data modelling process with other processess in informat ion system development.

Integration of conceptual data modeling methods: Higher education experiences

2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014

One of the most important phases of information system development include data modelling processes, where conceptual data modelling presents an essencial part. There are many approaches and methods formally based or those that give heuristics as guidelines. This paper aims to present integration of models for conceptual data modelling. Special emphasize is given to comparison of methods and integration of data modelling process with other processess in information system development.

On a Conceptual Data Model with Orientation to Data Integration

2021

In this paper a conceptual data model oriented to data integration is proposed. Formal definition of the considered conceptual data model is provided. To define the behavior of entities of the conceptual level, an algebra over such entities was developed. Formalization issues of data integration concept are discussed. Principles of mapping of source data models basic constructions into conceptual data model are considered. Mapping from data sources into conceptual schema is defined as an algebraic program.

Integrated Approach to Conceptual Modeling

International Journal of Advanced Computer Science and Applications, 2016

Conceptual modeling is supporting understanding and communication of the requirements in developing the information system (IS). The nature of requirements is usually divided into the functional (FRs) and non-functional requirements (NFRs). Thus, the scholars who are representing the conceptual modeling separate FRs and NFRs. Attempting to create an integrated framework for conceptual modeling of FRs and NFRs a new approach is being represented. In order to justify the approach, the research work and relevant literature in the field by using integrated perspective has been analyzed in this paper. As an outcome of this review, the need for an integrated approach to the requirement determination and proposed an integrated framework for conceptual modeling, which shall include the functional and non-functional requirements in one conceptual model has been identified. There is also identified that a small number of researchers have worked in this field, whilst the failure rate of the IS implementation which continues to be high has been the motivation, therefore the concept of proposing an integrated framework which will contribute to the increase of the efficacy of the requirements from the analysis phase in order to secure the sustainability of the IS has been approached.

The use of a knowledge-based system in conceptual data modeling

Decision Support Systems, 2005

Based on a study of the data modeling process of novice designers, and the errors they commit, a knowledge-based system (KBS) was designed and developed. It was found that the performance of novice designers was significantly better when they utilized the KBS instead of a system with no knowledge base. Two versions of the KBS-one with a guidance interface that advised the designer on appropriate design choices and another with a restrictive interface that restricted the design choices available to the designer-were developed. The restrictive interface was rated as being significantly easier to use than the guidance interface. D

Syntactic and Semantic Understanding of Conceptual Data Models

Conceptual data models are used for discovery and validation communication between analysts and users; as a communication tool between analysts and designers; as a basis for end-user developed applications; and as part of the systems documentation (e.g., Batra and Davis 1992; Juhn and Naumann 1985; Siau et al. 1997). A goal of creating a conceptual model is to develop a database schema to be used to implement a database that meets the information needs of intended users. To develop a suitable database schema, the designer must be able to use the conceptual data model as a communication tool to verify the assumptions made in its creation. Batra and Davis state that the conceptual model must be capable of providing a structure for the database along with the semantic constraints for communication with users. The conceptual data model also serves as a representation of the database after its completion: it is part of the systems documentation, and hence can be used for system evaluation by auditors or others. Conceptual data models include several components, each of which provides information content. Siau et al. examined the use of two components in entity-relationship data models: the surface semantics and the structural constraints (participation cardinality) of the relationships.

INTECoM: an integrated conceptual data modelling framework: a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information Systems at Massey University, Palmerston North, New Zealand

2000

Conceptual data models, a fundamental component of information systems development, traditionally play two essential roles, as communication tools and database design blueprints. However, despite their importance to the success of information systems, and a considerable amount of research effort, no definitive method for constructing them has yet been described. Entity-Relationship (ER) Modelling, accepted as a de facto standard for a number of years, has been increasingly criticised.