ER model clustering as an aid for user communication and documentation in database design

Teorey, Toby J.; Wei, Guangping; Bolton, Deborah L.; Koenig, John A.

doi:10.1145/65971.65976

Cited by 90 publications

(36 citation statements)

References 11 publications

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“…Before applying property clustering the classes or clusters involved in the relationships or constituting the domains and ranges of the affected attributes must be clustered by concept clustering. This treatment of attributes extends the proposals in [13], [4], or [6].…”

Section: Clusterssupporting

confidence: 60%

“…A similar problem arises when conceptual models in database applications grow so large that the entity relationship (ER) models describing them become unreadable. Several proposals (cf., e.g., [13], [4], [6]) tackle this problem by constructing hierarchies of ER models by means of clustering. The basic idea is to abstract from the internal structure of a portion of an ER model in a new model where the respective sub-model is substituted by a new artificial object, a so-called cluster.…”

Section: Clustersmentioning

confidence: 99%

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Mechanisms for structuring knowledge-based systems

Landes

Studer

1994

Lecture Notes in Computer Science

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In order to reduce the complexity of large knowledge-based systems and promote reusability, means for decomposing them to smaller chunks are required. MIKE, our knowledge engineering framework, provides three basic means for structuring which are described in this paper: different kinds of knowledge are separated at different knowledge layers, knowledge layers can be structured by modules, and knowledge within modules is expressed in terms of an object-centred data model. In addition, ideas from entity relationship model clustering are adapted and extended to facilitate the understandability of domain knowledge and support the formation of modules.

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Section: Clusterssupporting

confidence: 60%

Section: Clustersmentioning

confidence: 99%

Mechanisms for structuring knowledge-based systems

Landes

Studer

1994

Lecture Notes in Computer Science

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“…Several techniques cope with this problem by decomposing the global schema into smaller, more manageable partitions, called entity clusters [18,58,13,62,8,12,20,58,70,47,66,53].…”

Section: Semantic Model Clusteringmentioning

confidence: 99%

“…Finally, in the area of knowledge representation, the notion of context appears as an abstraction mechanism for partitioning an information base into possibly overlapping parts [43,44,61,60], or for dividing the global schema of a database into clusters in order to deal with schema complexity [70,18,58,13,8,65].…”

Section: Introductionmentioning

confidence: 99%

Contextualization as an independent abstraction mechanism for conceptual modeling

Analyti

Theodorakis²,

Spyratos

et al. 2007

Information Systems

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The notion of context appears in computer science, as well as in several other disciplines, in various forms. In this paper, we present a general framework for representing the notion of context in information modeling. First, we define a context as a set of objects, within which each object has a set of names and possibly a reference: the reference of the object is another context which "hides" detailed information about the object. Then, we introduce the possibility of structuring the contents of a context through the traditional abstraction mechanisms, i.e. classification, generalization, and attribution. We show that, depending on the application, our notion of context can be used as an independent abstraction mechanism, either in an alternative or a complementary capacity with respect to the traditional abstraction mechanisms. We also study the interactions between contextualization and the traditional abstraction mechanisms, as well as the constraints that govern such interactions. Finally, we present a theory for contextualized information bases. The theory includes a set of validity constraints, a model theory, as well as a set of sound and complete inference rules. We show that our core theory can be easily extended to support embedding of particular information models in our contextualization framework.

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“…Several approaches use ER model clustering to overcome these problems, e.g. [FeM86,RaS92,TWB89]. In extension of these approaches, INCOME/STAR offers three kinds of clustering:…”

Section: 1mentioning

confidence: 99%

Income/Wf — A Petri Net Based Approach to Workflow Management

Oberweis

Schätzle²,

Stucky³

et al. 1997

Wirtschaftsinformatik ’97

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Flexibility of process support is a key requirement for current and future business applications. A technology which is designed to flexibly support various kinds of processes are workflow management systems. In this paper we present INCOME/WF -a prototype of a workflow management system based on high-level Petri nets as workflow modelling and execution language. Important requirements for INCOME/WF are easily adjustable workflow schemes and support for unstructured or weakly structured activities. Both requirements are not yet sufficiently fulfilled by existing WFMS.

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ER model clustering as an aid for user communication and documentation in database design

Abstract: Entity-relationship clustering promotes the simplicity that is vital for fast end-user comprehension, as well as the complexity at a more detailed level to satisfy the database designer's need for extended semantic expression in the conceptual model.

Cited by 90 publications

References 11 publications

Mechanisms for structuring knowledge-based systems

Mechanisms for structuring knowledge-based systems

Contextualization as an independent abstraction mechanism for conceptual modeling

Income/Wf — A Petri Net Based Approach to Workflow Management

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