Metamodeling

Overview

A metamodel/ surrogate model is a model of the model, i.e. a simplified model of an actual model of a circuit, system, or software-like entity. Metamodel can be a mathematical relation or algorithm representing input and output relations. A model is an abstraction of phenomena in the real world; a metamodel is yet another abstraction, highlighting the properties of the model itself. A model conforms to its metamodel in the way that a computer program conforms to the grammar of the programming language in which it is written. Various types of metamodels include polynomial equations, neural networks, Kriging, etc. "Metamodeling" is the construction of a collection of "concepts" (things, terms, etc.) within a certain domain. Metamodeling typically involves studying the output and input relationships and then fitting the right metamodels to represent that behavior.

Common uses for metamodels are:

• As a schema for semantic data that needs to be exchanged or stored
• As a language that supports a particular method or process
• As a language to express additional semantics of existing information
• As a mechanism to create tools that work with a broad class of models at run time
• As a schema for modeling and automatically exploring sentences of a language with applications to automated test synthesis
• As an approximation of a higher-fidelity model for use when reducing time, cost, or computational effort is necessary

Because of the "meta" character of metamodeling, both the praxis and theory of metamodels are of relevance to metascience, metaphilosophy, metatheories and systemics, and meta-consciousness. The concept can be useful in mathematics, and has practical applications in computer science and computer engineering/software engineering. The latter are the main focus of this article.

Topics

Definition

In software engineering, the use of models is an alternative to more common code-based development techniques. A model always conforms to a unique metamodel. One of the currently most active branches of Model Driven Engineering is the approach named model-driven architecture proposed by OMG. This approach is embodied in the Meta Object Facility (MOF) specification.

Typical metamodelling specifications proposed by OMG are UML, SysML, SPEM or CWM. ISO has also published the standard metamodel ISO/IEC 24744. All the languages presented below could be defined as MOF metamodels.

Metadata modeling

Metadata modeling is a type of metamodeling used in software engineering and systems engineering for the analysis and construction of models applicable and useful to some predefined class of problems. (see also: data modeling).

Model transformations

One important move in model-driven engineering is the systematic use of model transformation languages. The OMG has proposed a standard for this called QVT for Queries/Views/Transformations. QVT is based on the meta-object facility (MOF). Among many other model transformation languages (MTLs), some examples of implementations of this standard are AndroMDA, VIATRA, Tefkat, MT, ManyDesigns Portofino.

Relationship to ontologies

Meta-models are closely related to ontologies. Both are often used to describe and analyze the relations between concepts:

• Ontologies: express something meaningful within a specified universe or domain of discourse by utilizing grammar for using vocabulary. The grammar specifies what it means to be a well-formed statement, assertion, query, etc. (formal constraints) on how terms in the ontology’s controlled vocabulary can be used together.{{Citation |access-date=10 October 2009 |archive-url=https://web.archive.org/web/20091014123802/http://infogrid.org/wiki/Reference/PidcockArticle |archive-date=14 October 2009 |url-status=dead
• Meta-modeling: can be considered as an explicit description (constructs and rules) of how a domain-specific model is built. In particular, this comprises a formalized specification of the domain-specific notations. Typically, metamodels are – and always should follow - a strict rule set.{{Citation |access-date=9 October 2009 |archive-url=https://web.archive.org/web/20111009042438/http://infogrid.org/wiki/Reference/WhatIsMetaModeling |archive-date=9 October 2011 |url-status=dead

Types of metamodels

For software engineering, several types of models (and their corresponding modeling activities) can be distinguished:

• Metadata modeling (MetaData model)
• Meta-process modeling (MetaProcess model)
• Executable meta-modeling (combining both of the above and much more, as in the general purpose tool Kermeta)
• Model transformation language (see below)
• Polynomial metamodels
• Neural network metamodels
• Kriging metamodels
• Piecewise polynomial (spline) metamodels
• Gradient-enhanced kriging (GEK)

Zoos of metamodels

A library of similar metamodels has been called a Zoo of metamodels. There are several types of meta-model zoos. Some are expressed in ECore. Others are written in MOF 1.4 – XMI 1.2. The metamodels expressed in UML-XMI1.2 may be uploaded in Poseidon for UML, a UML CASE tool.

References

References

1. David R. Soller et al. (2001) [https://pubs.usgs.gov/of/2001/of01-223/soller2.html Progress Report on the National Geologic Map Database, Phase 3: An Online Database of Map Information] Digital Mapping Techniques '01 -- Workshop Proceedings U.S. Geological Survey Open-File Report 01-223.
2. 978-0071825719 and 0071825711, 1st Edition, McGraw-Hill, 2015.
3. Oleg Garitselov, [[Saraju Mohanty]], and Elias Kougianos, "[http://www.cse.unt.edu/~smohanty/Publications_Journals/2012/Mohanty_IEEE-TSM-2012Feb.pdf A Comparative Study of Metamodels for Fast and Accurate Simulation of Nano-CMOS Circuits] {{webarchive. link. (23 September 2015 ", IEEE Transactions on Semiconductor Manufacturing (TSM), Vol. 25, No. 1, February 2012, pp. 26–36.)
4. [[Saraju Mohanty]] [http://www.cse.unt.edu/~smohanty/Presentations/2012/Mohanty_SRC-TxACE_Talk_2012-04-27.pdf Ultra-Fast Design Exploration of Nanoscale Circuits through Metamodeling] {{webarchive. link. (23 September 2015 , Invited Talk, Semiconductor Research Corporation (SRC), Texas Analog Center for Excellence (TxACE), 27 April 2012.)
5. FEA (2005) [https://www.archives.gov/records-mgmt/pdf/rm-profile.pdf FEA Records Management Profile, Version 1.0]. December 15, 2005.
6. International Organization for Standardization / International Electrotechnical Commission, 2007. [http://www.iso.org/iso/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber=38854 ISO/IEC 24744]. Software Engineering - Metamodel for Development Methodologies.
7. E. Söderström, et al. (2001) "Towards a Framework for Comparing Process Modelling Languages", in: ''Lecture Notes In Computer Science''; Vol. 2348. Proceedings of the 14th International Conference on Advanced Information Systems Engineering. Pages: 600 – 611, 2001
8. [[Saraju Mohanty]] and Elias Kougianos, "[http://www.cse.unt.edu/~smohanty/Publications_Journals/2014/Mohanty_ALOG_2014Jun.pdf Polynomial Metamodel Based Fast Optimization of Nano-CMOS Oscillator Circuits] {{webarchive. link. (10 August 2014 ", Springer Analog Integrated Circuits and Signal Processing Journal, Volume 79, Issue 3, June 2014, pp. 437–453.)
9. [http://www.metamodel.com/wisme-2004/present/22.pdf Jean-Marie Favre: Towards a Basic Theory to Model Driven Engineering.] {{webarchive. link. (15 October 2006 .)
10. [http://www.eclipse.org/gmt/am3/zoos/ AtlanticZoo] {{webarchive. link. (29 April 2006 .)