Generic Model Management

2004 ◽  
Author(s):  
Sergey Melnik
Keyword(s):  
Model Management ◽  
Generic Model

scholarly journals Generic Model Management

2005 ◽  
pp. 258-265 ◽  
Author(s):  
Zinovy Diskin ◽  
Boris Kadish
Keyword(s):  
Present Article ◽  
Model Management ◽  
Generic Model ◽  
Metadata Management ◽  
Management Problems ◽  
Pros And Cons ◽  
And Mathematics ◽  
P 351

Generic model management (gMMt) is a novel view on classical and modern metadata management problems. The present article surveys the goals, components, pros and cons of gMMt, and major problems cited in the literature. It argues that some methodology developed in abstract mathematics can be extremely helpful for the field and is capable of providing it with a convenient notation, semantic foundations and truly generic specification patterns. The two other articles, titled Mathematics of Generic Specifications for Model Management, I (further referred to as Math-I , see p. 351), and Mathematics of Generic Specifications for Model Management, II (further referred to as Math-II, see p. 359), give some evidence to these claims by demonstrating how the machinery works in a series of examples.

Mathematics of Generic Specifications for Model Management, II

2005 ◽  
pp. 359-366 ◽  
Author(s):  
Zinovy Diskin
Keyword(s):  
Model Management ◽  
Generic Model ◽  
P 351

This article (further referred to as Math-II), and the previous one (further referred to as Math-I, see p. 351), form a mathematical companion to Generic Model Management (further referred to as GenMMt, see p. 258). While Math-I is dealing with homogeneous MMt, the goal of Math-II is to develop machinery for heterogenous MMt, where models are not assumed to be similar.

Mathematics of Generic Specifications for Model Management, I

2005 ◽  
pp. 351-358 ◽  
Author(s):  
Zinovy Diskin
Keyword(s):  
Heterogeneous Data ◽  
Model Management ◽  
Generic Model ◽  
First Time ◽  
Schema Transformation

This article (further referred to as Math-I), and the next one (further referred to as Math-II, see p. 359), form a mathematical companion to the article in this encyclopedia on Generic Model Management (further referred to as GenMMt, see p.258 ). Articles Math-I and II present the basics of the arrow diagram machinery that provides model management with truly generic specifications. Particularly, it allows us to build a generic pattern for heterogeneous data and schema transformation, which is presented in Math-II for the first time in the literature.

A Generic Model of Clinical Practice

2003 ◽  
Vol 42 (03) ◽  
pp. 203-211 ◽  
Author(s):  
J. L. G. Dietz ◽  
A. Hasman ◽  
P. F. de Vries Robbé ◽  
H. J. Tange
Keyword(s):  
Clinical Practice ◽  
Theoretical Model ◽  
Action Theory ◽  
Human Subjects ◽  
Shared Care ◽  
Patient Record ◽  
Generic Model ◽  
Problem Solver ◽  
Record Keeping ◽  
Process View

Summary Objectives: Many shared-care projects feel the need for electronic patient-record (EPR) systems. In absence of practical experiences from paper record keeping, a theoretical model is the only reference for the design of these systems. In this article, we review existing models of individual clinical practice and integrate their useful elements. We then present a generic model of clinical practice that is applicable to both individual and collaborative clinical practice. Methods: We followed the principles of the conversation-for-action theory and the DEMO method. According to these principles, information can only be generated by a conversation between two actors. An actor is a role that can be played by one or more human subjects, so the model does not distinguish between inter-individual and intra-individual conversations. Results: Clinical practice has been divided into four actors: service provider, problem solver, coordinator, and worker. Each actor represents a level of clinical responsibility. Any information in the patient record is the result of a conversation between two of these actors. Connecting different conversations to one another can create a process view with meta-information about the rationale of clinical practice. Such process view can be implemented as an extension to the EPR. Conclusions: The model has the potential to cover all professional activities, but needs to be further validated. The model can serve as a theoretical basis for the design of EPR-systems for shared care, but a successful EPR-system needs more than just a theoretical model.

A generic model-based warning system for ground-level ozone monitoring

2005 ◽  
Vol 39 (4) ◽  
pp. 493-512
Author(s):  
Ali Zolghadri ◽  
David Henry
Keyword(s):  
Warning System ◽  
Ground Level ◽  
Generic Model ◽  
Ground Level Ozone ◽  
Model Based ◽  
Ozone Monitoring

Hierarchical model management framework based on universal relation model representation

2013 ◽  
Vol 33 (3) ◽  
pp. 849-853
Author(s):  
Ying XING ◽  
Hongjun ZHANG ◽  
Rui ZHANG ◽  
Jian HE
Keyword(s):  
Hierarchical Model ◽  
Model Representation ◽  
Model Management ◽  
Universal Relation ◽  
Management Framework ◽  
Relation Model

Simulating plant water availability in dry lands under climate change: A generic model of two soil layers

2009 ◽  
Vol 45 (1) ◽  
Author(s):  
Britta Tietjen ◽  
Erwin Zehe ◽  
Florian Jeltsch
Keyword(s):  
Climate Change ◽  
Water Availability ◽  
Generic Model ◽  
Plant Water ◽  
Soil Layers ◽  
Dry Lands

scholarly journals A Generic Model for Identifying QoS Parameters Interrelations in Cloud Services Selection Ontology during Runtime

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Operating Costs ◽  
Generic Model ◽  
Business Organizations ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Computer Based

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.

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