By Antoni Olivé
This fantastic textbook explains intimately the foundations of conceptual modeling independently from specific tools and languages and exhibits the best way to follow them in real-world initiatives. the writer covers all points of the engineering procedure from structural modeling over behavioral modeling to meta-modeling, and completes the presentation with an intensive case research in line with the osCommerce procedure. Written for desktop technology scholars in periods on details structures modeling in addition to for execs feeling the necessity to formalize their stories or to replace their wisdom, Olivé can provide right here a entire therapy of all points of the modeling method. His ebook is complemented through plenty of routines and extra on-line educating material.
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Extra resources for Conceptual Modeling of Information Systems
An information base is consistent if it satisfies all the integrity constraints defined. A constraint is violated when it is not satisfied by the information base. When a constraint is violated, the system must produce a response to maintain consistency. Generally, violations are caused by the arrival of an incorrect message, and the response is usually to reject the message. The set of integrity constraints defined in a conceptual schema must be consistent (or satisfiable). This means that there must be at least one state of the information base that satisfies these constraints.
On the other hand, when a schema focuses only on conceptual aspects, it is simpler and therefore easier for users to understand. A conceptual schema that satisfies this condition is said to be designindependent. Finally, we come to the property of stability, which is also referred to as flexibility, extensibility, or modifiability. A conceptual schema is stable if minor changes in the properties of the domain or in the users’ requirements do not entail major changes in the schema. 6 Griethuysen (1982).
Output documents are produced when an input document is received or when a certain condition is satisfied. The model proposed by Young and Kent was the first of the logical models. A committee of CODASYL formed in 1959 proposed a similar model, called “An Information Algebra” (Bosak et al 1962). These models view information systems as systems that receive inputs, apply a transformation to them, and produce outputs. The models are called logical because the inputs, outputs, and transformation are described without reference to their physical aspects, such as data representation or file organization.