Download On Conceptual Modelling: Perspectives from Artificial by John Mylopoulos, Hector J. Levesque (auth.), Michael L. PDF
By John Mylopoulos, Hector J. Levesque (auth.), Michael L. Brodie, John Mylopoulos, Joachim W. Schmidt (eds.)
The becoming call for for structures of ever-increasing complexity and precision has encouraged the necessity for larger point suggestions, instruments, and methods in each zone of desktop technology. a few of these parts, specifically man made Intelligence, Databases, and Programming Lan guages, try to satisfy this call for through defining a brand new, extra summary point of procedure description. We name this new point conceptual in acceptance of its simple conceptual nature. In synthetic Intelligence, the matter of designing a professional procedure is visible essentially as an issue of creating an information base that repre sents wisdom approximately an firm. therefore, wisdom Repre sentation is seen as a principal factor in man made Intelligence examine. Database layout methodologies constructed over the last 5 years are virtually unanimous in supplying semantic facts types by way of which the fashion designer without delay and of course versions an company earlier than continue ing to a close logical and actual database layout. In Programming Languages, diversified types of abstraction which permit implementation autonomous necessities of knowledge, features, and regulate were an incredible examine subject matter for a decade. to stress the typical targets of those 3 learn efforts, we name this new task conceptual modelling.
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Extra info for On Conceptual Modelling: Perspectives from Artificial Intelligence, Databases, and Programming Languages
Example text
One important attribute relationship basic to all record based data models is that of functional dependency. Attribute A is functionally dependent on attribute B in the relation R (denoted B -+ A which reads B functionally determines A), if a tuple in R contains value b for B and a for A then all tuples that contain b for B also have a for A. For instance if Michael has blue eyes in one tuple (NAME -+ EYE-COLOUR) then for consistency he better have blue eyes every time he is described. ). More advanced relationship constraints concern the existence of objects and the dependency of one object on other objects.
2 37 Semantic Data Models: Concepts, Tools, and Techniques (continued) SEMANTIC MODELS EntityRelationship Functional SHM+ SDMI Event Model TAXIS RM/T DDL yes yes yes yes yes yes DML - yes yes yes yes yes QL yes yes - yes yes yes data types attributes, entities, relationships all statics yes (throughout SHM+) yes classes, metaclasses yes variables - yes yes -/yes in transactions - automated design aids in development - - -/yes editor, interpreter, compiler - 2. TOOLS 3. 1 Relating the Classical Data Models 38 On Conceptual Modeling 4.
Section 4 illustrates the changes in program organization this work has stimulated by developing an example in three different languages intended for production use: Fortran, Ada, and Pascal. Although Sections 2 and 3 present a certain amount of technical detail, Section 4 gives examples of the concepts that should be accessible to all readers. An assessment of the current status and the potential of current abstraction techniques (Section 5) concludes the chapter. The Impact of Modelling and Abstraction Concerns 51 2.