Dimensions and Dichotomy in Metamodeling

Geisler, Robert; Klar, Marcus; Pons, Clàudia

doi:10.14236/ewic/nfm1998.10

Cited by 16 publications

(9 citation statements)

References 4 publications

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“…We can perform the same experiment with the NGC 121 B − R data of Stryker et al (1985); this gives V RHB =19.66 (albeit for only 7 stars) which agrees with our value to within the errors. Lastly, (Sarajedini & Layden 1997), T1 vs C − T1 (Geisler & Sarajedini 1998). 9 The Lindsay 113 BR photometry of was converted by us in PaperI to the BV system using the color transformation equation of Sarajedini & Geisler (1996) DH98 quote V RHB =19.36 for NGC 339 based on some unpublished photometry; this is close to our value of 19.46 for this cluster.…”

Section: Simultaneous Reddening and Metallicity Methodssupporting

confidence: 65%

WFPC2 Observations of Star Clusters in the Magellanic Clouds. II. The Oldest Star Clusters in the Small Magellanic Cloud

Mighell

Sarajedini

French

1998

The Astronomical Journal

131

161

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We present our analysis of archival Hubble Space Telescope Wide Field Planetary Camera 2 (WFPC2) observations in F450W (∼B) and F555W (∼V ) of the intermediate-age populous star clusters NGC 121, NGC 339, NGC 361, NGC 416, and Kron 3 in the Small Magellanic Cloud. We use published photometry of two other SMC populous star clusters, Lindsay 1 and Lindsay 113, to investigate the age sequence of these seven populous star clusters in order to improve our understanding of the formation chronology of the SMC. We analyzed the V vs B −V and M V vs (B −V ) o color-magnitude diagrams of these populous Small Magellanic Cloud star clusters using a variety of techniques and determined their ages, metallicities, and reddenings. These new data enable us to improve the age-metallicity relation of star clusters in the Small Magellanic Cloud. In particular, we find that a closed-box continuous star-formation model does not reproduce the age-metallicity relation adequately. However, a theoretical model punctuated by bursts of star formation is in better agreement with the observational data presented herein.

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Section: Simultaneous Reddening and Metallicity Methodssupporting

confidence: 65%

WFPC2 Observations of Star Clusters in the Magellanic Clouds. II. The Oldest Star Clusters in the Small Magellanic Cloud

Mighell

Sarajedini

French

1998

The Astronomical Journal

131

161

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“…The third CAMPaM dimension concentrates on the modeling of modeling formalisms (i.e., meta-modeling) [35][36][37][38]. To quickly construct domain-specific and tailored formalisms and their (visual) editors, explicitly modeling the formalisms is the most efficient approach, provided that a meta-model compiler is available to synthesize the tools.…”

Section: Meta-modelingmentioning

confidence: 99%

Computer Automated Multi-Paradigm Modeling: An Introduction

2004

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Modeling and simulation are quickly becoming the primary enablers for complex system design. They allow the representation of intricate knowledge at various levels of abstraction and allow automated analysis as well as synthesis. The heterogeneity of the design process, as much as of the system itself, however, requires a manifold of formalisms tailored to the specific task at hand. Efficient design approaches aim to combine different models of a system under study and maximally use the knowledge captured in them. Computer Automated Multi-Paradigm Modeling (CAMPaM) is the emerging field that addresses the issues involved and formulates a domain-independent framework along three dimensions: (1) multiple levels of abstraction, (2) multiformalism modeling, and (3) meta-modeling. This article presents an overview of the CAMPaM field and shows how transformations assume a central place. These transformation are, in turn, explicitly modeled themselves by graph grammars.

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“…This modelling language is called the metamodelling language. The model defining the metamodelling language is the meta-metamodel or meta 2 -model [8,23].…”

Section: Modelling Hierarchymentioning

confidence: 99%

“…The syntax describes the elements and rules for creating models and is described by a grammar. For modelling languages two major approaches exist to describe their syntax: graph grammars [21] or metamodels [8]. Often, UML class diagrams are used to describe the metamodel of the syntax.…”

Section: Syntax Semantics Notation and Mechanismsmentioning

confidence: 99%

“…The semantic mapping connects the syntactical constructs with their meaning defined in the semantic domain ("semantic schema"). To formulate semantic definitions approaches such as denotational semantics, operational semantics, axiomatic semantics or algebraic semantics are used [8]. Sometimes, only (informal) textual descriptions are used to define the semantics, e.g.…”

Section: Syntax Semantics Notation and Mechanismsmentioning

confidence: 99%

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Metamodelling Platforms

Karagiannis

Kuhn

2002

Lecture Notes in Computer Science

251

144

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The state-of-the-art in the area of modelling of organisations is based on fixed metamodels. Due to rapid changing business requirements the complexity in developing applications which deliver business solutions is continually growing. To manage this complexity, environments providing flexible metamodelling capabilities instead of fixed metamodels has shown to be helpful. The main characteristic of such environments is that the formalism of modelling -the metamodel -can be freely defined and therefore be adapted to the problem under consideration. This paper gives an introduction into metamodelling concepts and presents a generic architecture for metamodelling platforms. Three best practice examples from industry projects applying metamodelling concepts in the area of business process modelling for e-business, e-learning, and knowledge management are presented. Finally, an outlook to future developments and research directions in the area of metamodelling is given.

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Dimensions and Dichotomy in Metamodeling

Cited by 16 publications

References 4 publications

WFPC2 Observations of Star Clusters in the Magellanic Clouds. II. The Oldest Star Clusters in the Small Magellanic Cloud

WFPC2 Observations of Star Clusters in the Magellanic Clouds. II. The Oldest Star Clusters in the Small Magellanic Cloud

Computer Automated Multi-Paradigm Modeling: An Introduction

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