摘要 :
This paper presents a formalism for modeling and querying large-scale distributed information systems with multidimensional structures. It is supported by a rule-based system based on a multidimensional logic ML(ω). We demonstrat...
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This paper presents a formalism for modeling and querying large-scale distributed information systems with multidimensional structures. It is supported by a rule-based system based on a multidimensional logic ML(ω). We demonstrate that the rule based system can be used as a deductive front-end to a geographically distributed information system, such as Web-based information systems, as well as an aid in information distribution and retrieval of such systems. When coupled with a logic programming language, the system will allow the user specify information distribution and construct queries from different logical and physical perspectives.
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摘要 :
This paper presents a formalism for modeling and querying large-scale distributed information systems with multidimensional structures. It is supported by a rule-based system based on a multidimensional logic ML(ω). We demonstrat...
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This paper presents a formalism for modeling and querying large-scale distributed information systems with multidimensional structures. It is supported by a rule-based system based on a multidimensional logic ML(ω). We demonstrate that the rule based system can be used as a deductive front-end to a geographically distributed information system, such as Web-based information systems, as well as an aid in information distribution and retrieval of such systems. When coupled with a logic programming language, the system will allow the user specify information distribution and construct queries from different logical and physical perspectives.
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摘要 :
Incomplete, improper and untimely information flow among operational units makes operations untidy and slow. Representing petroleum business data in multidimensional data structuring in a data warehousing environment is a solution...
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Incomplete, improper and untimely information flow among operational units makes operations untidy and slow. Representing petroleum business data in multidimensional data structuring in a data warehousing environment is a solution for a manager's strategic planning, and operational management. Conceptual multidimensional-relational (MR) and EMR (extended multidimensional-relationships) data mapping approaches are proposed for key exploration industry data management. These conceptual models facilitate in developing future implementation data models and help an exploration data analyst, for better understanding of data integration and effective data mining.
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摘要 :
The paper presents an algorithm for generating analytical data model from collected business data requirements, which are represented by entities of interest, their associations and attributes. The requirements are described in ge...
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The paper presents an algorithm for generating analytical data model from collected business data requirements, which are represented by entities of interest, their associations and attributes. The requirements are described in generic form, which is capable to accept any model regardless their purpose. The algorithm finds proper entities which serve as analytical dimensions and finally generate analytical or dimensional data model.
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摘要 :
The paper presents an algorithm for generating analytical data model from collected business data requirements, which are represented by entities of interest, their associations and attributes. The requirements are described in ge...
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The paper presents an algorithm for generating analytical data model from collected business data requirements, which are represented by entities of interest, their associations and attributes. The requirements are described in generic form, which is capable to accept any model regardless their purpose. The algorithm finds proper entities which serve as analytical dimensions and finally generate analytical or dimensional data model.
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摘要 :
The paper presents an algorithm for generating analytical data model from collected business data requirements, which are represented by entities of interest, their associations and attributes. The requirements are described in ge...
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The paper presents an algorithm for generating analytical data model from collected business data requirements, which are represented by entities of interest, their associations and attributes. The requirements are described in generic form, which is capable to accept any model regardless their purpose. The algorithm finds proper entities which serve as analytical dimensions and finally generate analytical or dimensional data model.
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摘要 :
Design of efficient data warehouse may be done only on a good conceptual model. Hence, quality measurement of the conceptual level multidimensional data models is a crucial issue for next generation database systems. In this paper...
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Design of efficient data warehouse may be done only on a good conceptual model. Hence, quality measurement of the conceptual level multidimensional data models is a crucial issue for next generation database systems. In this paper, a theoretical framework has been proposed for quality measurement of conceptual level object oriented multidimensional data model. A set of quality metrics has been proposed for the purpose of quality measurement of the data model along with their theoretical validation. The paper also describes double-fold viewpoints of quality evaluation. While the designer level viewpoint is identified by the criteria like complexity and completeness and the other aspect is user level viewpoint identified by issues like expressiveness and analyzability.
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摘要 :
Design of efficient data warehouse may be done only on a good conceptual model. Hence, quality measurement of the conceptual level multidimensional data models is a crucial issue for next generation database systems. In this paper...
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Design of efficient data warehouse may be done only on a good conceptual model. Hence, quality measurement of the conceptual level multidimensional data models is a crucial issue for next generation database systems. In this paper, a theoretical framework has been proposed for quality measurement of conceptual level object oriented multidimensional data model. A set of quality metrics has been proposed for the purpose of quality measurement of the data model along with their theoretical validation. The paper also describes double-fold viewpoints of quality evaluation. While the designer level viewpoint is identified by the criteria like complexity and completeness and the other aspect is user level viewpoint identified by issues like expressiveness and analyzability.
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摘要 :
Design of efficient data warehouse may be done only on a good conceptual model. Hence, quality measurement of the conceptual level multidimensional data models is a crucial issue for next generation database systems. In this paper...
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Design of efficient data warehouse may be done only on a good conceptual model. Hence, quality measurement of the conceptual level multidimensional data models is a crucial issue for next generation database systems. In this paper, a theoretical framework has been proposed for quality measurement of conceptual level object oriented multidimensional data model. A set of quality metrics has been proposed for the purpose of quality measurement of the data model along with their theoretical validation. The paper also describes double-fold viewpoints of quality evaluation. While the designer level viewpoint is identified by the criteria like complexity and completeness and the other aspect is user level viewpoint identified by issues like expressiveness and analyzability.
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摘要 :
Design of efficient data warehouse may be done only on a good conceptual model. Hence, quality measurement of the conceptual level multidimensional data models is a crucial issue for next generation database systems. In this paper...
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Design of efficient data warehouse may be done only on a good conceptual model. Hence, quality measurement of the conceptual level multidimensional data models is a crucial issue for next generation database systems. In this paper, a theoretical framework has been proposed for quality measurement of conceptual level object oriented multidimensional data model. A set of quality metrics has been proposed for the purpose of quality measurement of the data model along with their theoretical validation. The paper also describes double-fold viewpoints of quality evaluation. While the designer level viewpoint is identified by the criteria like complexity and completeness and the other aspect is user level viewpoint identified by issues like expressiveness and analyzability.
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