E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proc. of the Workshop on Design and Management of Data Warehouses (DMDW-99), 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....Description Logics) for multidimensional data models. Their aim is to facilitate comparison or evaluation of different multidimensional models, provide well defined semantics, and allow precise definition of problems. A translation between an Extended E R diagram and Description Logics is given in [FS99]. By means of Description Logics, they represent a cube as a relationship among cells, which keep the coordinates and measures. Every cell in a cube must have the same structure. The functional dependency between coordinates and measures is explicitly shown. Beside cubes, dimension hierarchies ....

E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proc. of 1st Int. Workshop on Design and Management of Data Warehouses (DMDW), Heidelberg (Germany), 1999.

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E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proc. of the Workshop on Design and Management of Data Warehouses (DMDW-99), 1999.

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E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proc. of the Workshop on Design and Management of Data Warehouses (DMDW-99), 1999.

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Enrico Franconi and Ulrike Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proceedings of the Workshop on Design and Management of Data Warehouses (DMDW'99), 1999.

....is still unknown. 3 Temporal Entity Relationship Models the non temporal part of the language introduced in this paper, was designed such that it is able to encode database schemas expressed in the most interesting Semantic Data Models and Object Oriented Data Models [ Calvanese et al. 1998; Franconi and Sattler, 1999 ] Recently, strictly more expressive conceptual data models based on DLs have been considered, most notably the conceptual data modelling formalism. was first introduced by [ De Giacomo and Lenzerini, 1999 ] as a means for encoding expressive semantic data models for information systems ....

Enrico Franconi and Ulrike Sattler. A data warehouse conceptual data model for multidimensional aggregation: a preliminary report. Italian Association for Artificial Intelligence AI*IA journal, 1999. To appear.

....In addition, given the high complexity of the modelling task when complex data is involved, there is the demand of more sophisticated and expressive languages than for normal databases. Again, DL research is very active in providing more expressive languages for conceptual modelling (see, e.g. [12,13,21,23]) In the case of conceptual modelling of dynamic information, which is the main topic of this Chapter, we should distinguish two cases. In the first one, the dynamics involves the data to be modelled this is the case of temporal conceptual modelling for temporal DBs and in the second one ....

E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proceedings of the Workshop on Design and Management of Data Warehouses (DMDW'99), 1999.

....be embedded into GMD; please note that we prove that for each schema in some data model its translated schema imposes the same constraints on the data warehouse. So far, we have considered, among others, the logical data models introduced in [ Agrawal et al. 1997; Cabibbo and Torlone, 1998; Franconi and Sattler, 1999; Golfarelli et al. 1998; Gray et al. 1996; Gyssens and Lakshmanan, 1997; Tsois et al. 2001; Vassiliadis, 1998; Vassiliadis and Skiadopoulos, 2000 ] In the following, we introduce the formal syntax and semantics of the data model, together with worked out examples. 2 The data model ....

E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proc. of the Workshop on Design and Management of Data Warehouses (DMDW-99), 1999.

....be embedded into GMD; please note that we prove that for each schema in some data model its translated schema imposes the same constraints on the data warehouse. So far, we have considered, among others, the logical data models introduced in [ Agrawal et al. 1997; Cabibbo and Torlone, 1998; Franconi and Sattler, 1999; Golfarelli et al. 1998; Gray et al. 1996; Gyssens and Lakshmanan, 1997; Tsois et al. 2001; Vassiliadis, 1998; Vassiliadis and Skiadopoulos, 2000 ] In the following, we introduce the formal syntax and semantics of the data model, together with worked out examples. Definition 1 (GMD schema) ....

E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proc. of the Workshop on Design and Management of Data Warehouses (DMDW-99), 1999.

.... database schemata or to optimise queries (Calvanese et al. 1998a; Calvanese et al. 1998c) to support the integration of sources in heterogeneous databases data warehouses (Calvanese et al. 1998b; Calvanese et al. 1999a) and to support the conceptual modelling of multidimensional aggregation (Franconi and Sattler, 1999). A first tool that provides an interface for the above mentioned database applications is i com (Franconi and Ng, 2000) Its graphical user interface supports the design of conceptual models using enhanced Entity Relationship diagrams. The underlying inference engine is the new version of the DL ....

Franconi, E. and U. Sattler: 1999, `A Data Warehouse Conceptual Data Model for Multidimensional Aggregation: a preliminary report'. Italian Association for Artificial Intelligence AI*IA Notizie 1, 9--21.

.... for the representation of and reasoning about, e.g. ontologies [31, 16] and database schemata, where they can support schema design, evolution, and query optimisation [7] source integration in heterogeneous databases data warehouses [6] and conceptual modeling of multidimensional aggregation [18]. The basic notions of DLs are concepts (classes, unary predicates) and roles (binary predicates) A speci c DL is mainly characterised by a set of constructors that allow to form complex concepts and roles from atomic ones. A standard DL knowledge base consists of two parts: in the TBox, the ....

E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation: a preliminary report. AI*IA Notizie, 1, 1999.

....given the high complexity of the modelling task when complex documents are involved, there is the demand of more sophisticated and expressive languages than for normal databases. Again, DL research is very active in providing expressive languages for conceptual modelling (see, e.g. Artale and Franconi, 1999; Franconi et al. 1999; 2000; Franconi and Sattler, 1999] As to the basic conceptual modelling language, we have decided to adopt an extended ER (EER) conceptual data model. Basic elements of ER schemas are entities, denoting a set of objects called instances, and relationships, denoting a ....

....complexity of the modelling task when complex documents are involved, there is the demand of more sophisticated and expressive languages than for normal databases. Again, DL research is very active in providing expressive languages for conceptual modelling (see, e.g. Artale and Franconi, 1999; Franconi et al. 1999; 2000; Franconi and Sattler, 1999] As to the basic conceptual modelling language, we have decided to adopt an extended ER (EER) conceptual data model. Basic elements of ER schemas are entities, denoting a set of objects called instances, and relationships, denoting a set of tuples made by the ....

[Article contains additional citation context not shown here]

E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proceedings of the Workshop on Design and Management of Data Warehouses (DMDW'99), 1999.

.... and covering constraints, full cardinalities, and definitions attached to entities and relations by means of view expressions over other entities and relationships in the schema [Calvanese et al. 1998c] aggregated entities together with their multiply hierarchically organised dimensions [Franconi et al. 1999; Franconi and Sattler, 1999] interschema) constraints, such as inclusion and equivalence between expressions involving entities and relationships possibly belonging to different schemas [Catarci and Lenzerini, 1993; Calvanese et al. 1998b] 45 The tool supports multiple schemas with ....

.... full cardinalities, and definitions attached to entities and relations by means of view expressions over other entities and relationships in the schema [Calvanese et al. 1998c] aggregated entities together with their multiply hierarchically organised dimensions [Franconi et al. 1999; Franconi and Sattler, 1999] interschema) constraints, such as inclusion and equivalence between expressions involving entities and relationships possibly belonging to different schemas [Catarci and Lenzerini, 1993; Calvanese et al. 1998b] 45 The tool supports multiple schemas with interschema constraints but ....

[Article contains additional citation context not shown here]

Enrico Franconi and Ulrike Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proceedings of the Workshop on Design and Management of Data Warehouses (DMDW'99), 1999.

.... of and reasoning about configurations [27, 21] ontologies [19] and database schemata, where they can support schema design, evolution, and query optimisation [4, 7] source integration in heterogeneous databases data warehouses [5, 6] and conceptual modeling of multidimensional aggregation [11]. In all these applications, aggregated objects play a central role, that is, objects that are composed of various parts, which again can be composite, etc. It is natural to describe an aggregated object by means of its parts and vice versa, to describe parts by means of the aggregate they belong ....

E. Franconi and U. Sattler, `A data warehouse conceptual data model for multidimensional aggregation: a preliminary report', Italian Association for Artificial Intelligence AI*IA Notizie, 1, (1999).

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E. Franconi and U. Sattler. A data warehouse conceptual data model for multidimensional aggregation. In Proc. of the Workshop on Design and Management of Data Warehouses (DMDW-99), 1999.

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E Franconi and U Sattler. A data warehouse conceptual data model for multidimensional aggregation. In S Gatziu, M Jeusfeld, M Staudt, and Y Vassiliou, editors, Proceedings of the Workshop in Design and Management of Data Warehouses, 1999.

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E Franconi and U Sattler. A data warehouse conceptual data model for multidimensional aggregation. In S Gatziu, M Jeusfeld, M Staudt, and Y Vassiliou, editors, Proceedings of the Workshop in Design and Management of Data Warehouses, 1999.

No context found.

E Franconi and U Sattler. A data warehouse conceptual data model for multidimensional aggregation. In S Gatziu, M Jeusfeld, M Staudt, and Y Vassiliou, editors, Proceedings of the Workshop in Design and Management of Data Warehouses, 1999.

No context found.

E. Franconi and U. Sattlcr. A Data Warehouse Conceptual Data Model for Multi- dimensional Aggregation. In Int. Workshop on Design and Management of Data Warehouses, 1999.

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Franconi, Enrico and Sattler, Ulrike 1999. A data warehouse conceptual data model for multidimensional aggregation: a preliminary report. Journal of the Italian Association for Artificial Intelligence AI*IA Notizie 9--21.

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Franconi, Enrico and Sattler, Ulrike 1999. A data warehouse conceptual data model for multidimensional aggregation: a preliminary report. Journal of the Italian Association for Artificial Intelligence AI*IA Notizie 9--21.

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