Titel: Conceptual Modeling of Information Systems
Autoren/Herausgeber: Antoni Olivé
Ausgabe: Softcover reprint of hardcover 1st ed. 2007
Format: 23,5 x 15,5 cm
Gewicht: 736 g
Antoni Olivé is a professor of information systems at the Universitat Politècnica de Catalunya in Barcelona. He has worked in this field during over 25 years. His main interests have been, and are, conceptual modeling, requirements engineering, information systems design and databases.
Antoni Olivé was the recipient of the DKE-ER Elsevier award for his contribution to the Intl. Conf. on Conceptual Modeling (ER'2003) and was Program Co-chair of ER 2006 - the 25th International Conference on Conceptual Modeling.
It is now more than fifty years since the first paper on formal specifications of an information system was published by Young and Kent. Even if the term “conceptual model” was not used at that time, the basic intention of the abstract specification was to a large extent the same as for developing conceptual models today: to arrive at a precise, abstract, and hardware - dependent model of the informational and time characteristics of a data processing problem. The abstract notation should enable the analyst to - ganize the problem around any piece of hardware. In other words, the p- pose of an abstract specification was for it to be used as an invariant basis for designing different alternative implementations, perhaps even using different hardware components. Research and practice of abstract modeling of information systems has since the late fifties progressed through many milestones and achie- ments. In the sixties, pioneering work was carried out by the CODASYL Development committee who in 1962 presented the “Information Al- bra”. At about the same time Börje Langefors published his elementary message and e-file approach to specification of information systems. The next decade, the seventies, was characterized by the introduction of a large number of new types of, as they were called, “data models”. We saw the birth of, for instance, Binary Data Models, Entity Relationship Models, Relational Data Models, Semantic Data Models, and Temporal Deductive Models.