Metadata approach in modeling multi structured data collection using object oriented concepts

Liem, Inggriani; Azizah, Fazat Nur

doi:10.1109/icnit.2010.5508560

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Some of the patterns are described briefly in Azizah, et al [9]. The idea of pattern G4P1 is based on our work described in Liem, et al [14]. Table 3 List of pattern categories and the respective data model patterns.…”

Section: List Of Data Model Patternsmentioning

confidence: 99%

The Concept of Data Model Pattern Based on Fully Communication Oriented Information Modeling (FCO-IM)

Azizah¹,

Sitohang²,

Bakema³

et al. 2010

itbj.ict.

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Abstract. Just as in many areas of software engineering, patterns have been used in data modeling to create high quality data models. We provide a concept of data model pattern based on Fully Communication Oriented Information Modeling (FCO-IM), a fact oriented data modeling method. A data model pattern is defined as the relation between context, problem, and solution. This definition is adopted from the concept of pattern by Christopher Alexander. We define the concept of Information Grammar for Pattern (IG P ) in the solution part of a pattern, which works as a template to create a data model. The IG P also shows how a pattern can relate to other patterns. The data model pattern concept is then used to describe 15 data model patterns, organized into 4 categories. A case study on geographical location is provided to show the use of the concept in a real case.

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Section: List Of Data Model Patternsmentioning

confidence: 99%

The Concept of Data Model Pattern Based on Fully Communication Oriented Information Modeling (FCO-IM)

Azizah¹,

Sitohang²,

Bakema³

et al. 2010

itbj.ict.

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show abstract

“…So far, we have developed 15 data model patterns. Some of them are briefly described in [5], [13]. The pattern language of conceptual data model patterns is aimed at providing high quality [FCO-IM] conceptual data models.…”

Section: A Pattern Language Of Data Model Patterns Based On Fco-immentioning

confidence: 99%

Measurement of the Quality of an FCO-IM Conceptual Data Model

Azizah

Bakema

Sitohang

et al. 2010

ijeei

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Data models provide the foundation to organization's activities since they support the organization's systems and data. Therefore, the quality of the data models is foremost. We describe a methodology to measure the quality of conceptual data models created using a fact oriented data modeling called Fully Communication Oriented Information Modeling (FCO-IM). The measurement method is based on the framework to measure the quality of conceptual model by Lindland et al. Four components are to be considered in the measurement: domain, model, language, and audience interpretation. The quality are measured on three aspects: syntactic quality (measured by syntax correctness), semantic quality (measured by feasible validity and feasible completeness), and pragmatic quality (measured by feasible comprehension). The method is then used to determine the quality of several FCO-IM conceptual data models that were created using a pattern language of conceptual data models, a new method in data modeling that we are currently researching. The method contributes in data modeling area by providing a quantitative and instructive way of measuring the quality of conceptual data models, especially in FCO-IM. Keywords: conceptual model, conceptual data model, data modeling, FCO-IM, measurement, pattern, quality IntroductionInformation is one of the critical assets of a modern organization. Information is extracted from data stored in database systems. An aspect of data management is the definition of the structures of data. The structures of data are designed in an activity called data modeling and the results are data models. Data models provide the foundation to organization's activities since they support the organization's systems and data [20]. Therefore, the quality of the data models is foremost.Data model is a collection of conceptual tools for describing data, data relationships, data semantics, and consistency constraints [16]. Three levels of data models are defined [19]: conceptual, logical, and physical data model. Conceptual data model is a relatively technologyindependent specification of data structures and is close to business requirements [19]. We focus on conceptual data model rather than the logical or physical data model because a conceptual data model can be viewed as the translation of business requirements into technical form of the structures of data (thus, it serves a "link" between human and machine) and providing logical and physical data model is a matter of transforming the conceptual data model using established algorithms. Thus, the challenge is how to provide high quality conceptual data models.

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Information Grammar for Patterns (IGP) for Pattern Language of Data Model Patterns Based on Fully Communication Oriented Information Modeling (FCO-IM)

Azizah

Bakema

Sitohang

et al. 2010

On the Move to Meaningful Internet Systems: OTM 2010 Workshops

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Metadata approach in modeling multi structured data collection using object oriented concepts

Cited by 3 publications

References 4 publications

The Concept of Data Model Pattern Based on Fully Communication Oriented Information Modeling (FCO-IM)

The Concept of Data Model Pattern Based on Fully Communication Oriented Information Modeling (FCO-IM)

Measurement of the Quality of an FCO-IM Conceptual Data Model

Information Grammar for Patterns (IGP) for Pattern Language of Data Model Patterns Based on Fully Communication Oriented Information Modeling (FCO-IM)

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