摘要 :
Different modeling approaches have been proposed to overcome every design pitfall of the development of the different parts of a data warehouse (DW) system. However, they are all partial solutions which deal with isolated aspects ...
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Different modeling approaches have been proposed to overcome every design pitfall of the development of the different parts of a data warehouse (DW) system. However, they are all partial solutions which deal with isolated aspects of the DW and do not provide designers with an integrated and standard method for designing the whole DW (ETL processes, data sources, DW repository and so on). On the other hand, the Model Driven Architecture (MDA) is a standard framework for software development that addresses the complete life cycle of designing, deploying, integrating, and managing applications by using models in software development. In this paper, we describe how to align the whole DW development process to MDA. Then, we define MD2A (MultiDimensional Model Driven Architecture), an approach for applying the MDA framework to one of the stages of the DW development: multidimensional (MD) modeling. First, we describe how to build the different MDA artifacts (i.e. models) by using extensions of the Unified Modeling Language (UML). Secondly, transformations between models are clearly and formally established by using the Query/View/Transformation (QVT) approach. Finally, an example is provided to better show how to apply MDA and its transformations to the MD modeling.
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摘要 :
Different modeling approaches have been proposed to overcome every design pitfall of the development of the different parts of a data warehouse (DW) system. However, they are all partial solutions which deal with isolated aspects ...
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Different modeling approaches have been proposed to overcome every design pitfall of the development of the different parts of a data warehouse (DW) system. However, they are all partial solutions which deal with isolated aspects of the DW and do not provide designers with an integrated and standard method for designing the whole DW (ETL processes, data sources, DW repository and so on). On the other hand, the Model Driven Architecture (MDA) is a standard framework for software development that addresses the complete life cycle of designing, deploying, integrating, and managing applications by using models in software development. In this paper, we describe how to align the whole DW development process to MDA. Then, we define MD2A (MultiDimensional Model Driven Architecture), an approach for applying the MDA framework to one of the stages of the DW development: multidimensional (MD) modeling. First, we describe how to build the different MDA artifacts (i.e. models) by using extensions of the Unified Modeling Language (UML). Secondly, transformations between models are clearly and formally established by using the Query/View/Transformation (QVT) approach. Finally, an example is provided to better show how to apply MDA and its transformations to the MD modeling.
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摘要 :
Multidimensional modeling requires specialized design techniques. Though a lot has been written about how a data warehouse should be designed, there is no consensus on a design method yet. This paper follows from a wide discussion...
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Multidimensional modeling requires specialized design techniques. Though a lot has been written about how a data warehouse should be designed, there is no consensus on a design method yet. This paper follows from a wide discussion that took place in Dagstuhl, during the Perspectives Workshop "Data Warehousing at the Crossroads", and is aimed at outlining some open issues in modeling and design of data warehouses. More precisely, issues regarding conceptual models, logical models, methods for design, interoperability, and design for new architectures and applications are considered.
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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 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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Document stores are preferred to relational ones for storing heterogeneous data due to their schemaless nature. However, the absence of a unique schema adds complexity to analytical applications. In a previous paper we have propos...
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Document stores are preferred to relational ones for storing heterogeneous data due to their schemaless nature. However, the absence of a unique schema adds complexity to analytical applications. In a previous paper we have proposed an original approach to OLAP on document stores; its basic idea was to stop fighting against schema variety and welcome it as an inherent source of information wealth in schemaless sources. In this paper we focus on the querying phase, showing how queries can be directly rewritten on a heterogeneous collection in an inclusive way, i.e., also including the concepts present in a subset of documents only.
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A study of the photochemical reactivity of aminobenzonitrile and benzopyran is presented. The potential energy surfaces are investigated at the CASSCF level and full-dimensional models are developed to perform quantum dynamics calculations.
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The multidimensional data models are most often used for decision support in Business Intelligence field. This paper presents innovative approach for support of knowledge analysis in precision agriculture, where such analytical ap...
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The multidimensional data models are most often used for decision support in Business Intelligence field. This paper presents innovative approach for support of knowledge analysis in precision agriculture, where such analytical approach offers great potential for the future. Corner stone of our approach is the creation of knowledge rules based on open data and information available from inside a particular agricultural company. In the next step such explicit knowledge is transformed into multidimensional database and an analytical model for decision support of the farm's managers is designed. Our approach is demonstrated on example concerning knowledge analysis of one of the agricultural problems - infestation of farm plants by aphids.
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摘要 :
The multidimensional data models are most often used for decision support in Business Intelligence field. This paper presents innovative approach for support of knowledge analysis in precision agriculture, where such analytical ap...
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The multidimensional data models are most often used for decision support in Business Intelligence field. This paper presents innovative approach for support of knowledge analysis in precision agriculture, where such analytical approach offers great potential for the future. Corner stone of our approach is the creation of knowledge rules based on open data and information available from inside a particular agricultural company. In the next step such explicit knowledge is transformed into multidimensional database and an analytical model for decision support of the farm's managers is designed. Our approach is demonstrated on example concerning knowledge analysis of one of the agricultural problems - infestation of farm plants by aphids.
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In the last few years, various approaches for the multidimensional (MD) modeling have been presented. However, none of them has been widely accepted as a standard. In this paper, we summarize the advantages of using object orienta...
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In the last few years, various approaches for the multidimensional (MD) modeling have been presented. However, none of them has been widely accepted as a standard. In this paper, we summarize the advantages of using object orientation for MD modeling. Furthermore, we use the UML, a standard visual modeling language, for modeling every aspect of MD systems. We show how our approach resolves elegantly some important problems of the MD modeling, such as multistar models, shared hierarchy levels, and heterogeneous dimensions. We believe that our approach, based on the popular UML, can be successfully used for MD modeling and can represent most of frequent MD modeling problems at the conceptual level.
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