Industry and academe are characterized by steadily increasing huge amounts of data with very different data structures. Both static and dynamic data contexts need to be addressed. A new generic, flexible and comprehen...
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Industry and academe are characterized by steadily increasing huge amounts of data with very different data structures. Both static and dynamic data contexts need to be addressed. A new generic, flexible and comprehensive general data-modelling concept is needed to cope with these demands. During the past 20 years, object-oriented programming (OOP) has become a de facto industry standard of how programming tasks should be defined and carried out in the context of deterministic datamodelling. We present here a first framework of analogous ideas for multivariate data analysis. A new strategy, object-oriented data modelling (OODM), is proposed which is invariant with respect to the specific data structures and the practical data context. We present a first delineation of meta-principles, ideas and stimulants for tomorrow's possible development paths of modelling, in which the fundamental data analysis unit is the generalized 'PLS object' in the OOP sense. The key novel aspect concerns inter-object information transfer, facilitated by 'root-sum-of-squares averaging' (RSSA), which uses w loading weights as between-object transfer agents. These features allow a powerful generalization beyond multiblock as well as hierarchical bilinear modelling to be laid out. The present part I outlines a first framework for the new data-modelling approach, while part II forms a complementing catalogue of specific options and possibilities when implementing the new principles. Copyright (C) 2003 John Wiley Sons, Ltd.
We present an extension to the object model of OMT to cope with bottom-up database design. By investigation, it was discovered that OMT as it stands is inadequate to capture some real world semantic and structural inf...
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We present an extension to the object model of OMT to cope with bottom-up database design. By investigation, it was discovered that OMT as it stands is inadequate to capture some real world semantic and structural information needed to perform schema integration for pre-existing databases in a heterogeneous distributed database environment. Therefore the proposed extension, called Integrated OMT (IOMT), was formally defined and an appropriate extended graphical notation was produced as a part of our work. This extended form was implemented and applied effectively using a tool which we call the schema meta-integration/visualisation system (SMIS/SMVS).
object Relationship Notation (ORN) allows relationship semantics to be specified to an objectdatabase management system (ODBMS) when relationships are represented as object-valued class attributes, both singly and mu...
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object Relationship Notation (ORN) allows relationship semantics to be specified to an objectdatabase management system (ODBMS) when relationships are represented as object-valued class attributes, both singly and multiply valued. Other declarative schemes have been proposed or developed to define semantics for such relationships when they are represented as foreign keys in a relational database or as relations in an extended objectdata model. In this paper we give an overview of ORN and compare it to these other schemes as well as to the declarative capabilities that currently exist for defining relationships in commercial ODBMSs. The purpose of our comparison is to permit the relative merits of ORN to be appreciated and to underscore the need for such a notation in ODBMSs.
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