Zdonik, S.B. Incremental Database Systems: Databases from the Ground Up ACM SIGMOD '93 Conference Proceedings, pp. 408-412, June 1993.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....of scientific data. There is no predefined data structure and the user directs the system to emerge a certain structure from the input data based on visual and other clues. The user directs the system to build a schema from bottom up instead of the traditional top down database design approach [23]. If a structured representation isn t pursuited, the subsequent activities lack efficiency. Taxonomizing and indexing will be manual (impossible for large quantities of data) querying will not be possible except for full text searches and alike. These problems in turn hinder information ....

....and relationships. When creating a new object type in an object database, the user must specify the placement in the inheritance hierarchy, the attributes and the respective domains. Then he can instantiate the objects. This process works well in the assumption of a top down database construction [23] with a schema specification step first and then a database population with data confined to that schema. We assume a hybrid top down and bottom up approach, with emergent structure. Therefore, we must provide intuitive means to create structure. Our system offers the semi automatic object ....

Zdonik, S.B. Incremental Database Systems: Databases from the Ground Up ACM SIGMOD '93 Conference Proceedings, pp. 408-412, June 1993.

....are brought up in the specified priority order. Note that if two differences are both labeled with the same classification level, then it is permissible to bring them up in any order relative to each other. 6 Related Work There has been a good deal of work in recent years on multimedia. Zdonik [29] has specified various roles that databases can play n complex multimedia systems [29, p.409] One of these is the logical integration of data stored on multiple media this is the topic of this paper. Kim et al. 27, 28] show how object oriented databases (with some enhancements) can be used ....

S. Zdonik. (1993) Incremental Database Systems: Databases from the Ground Up, Proc. 1993 ACM SIGMOD Conf. on Management of Data, pps 408--412.

....rules, data evolution regularities, conceptual clusters, and certain interesting value dependent patterns can be discovered in object oriented and active databases. Furthermore, knowledge discovery will benefit generalization on complex data objects, schema formation and schema evolution in OODBs [23], generalized triggering and step by step refined discovery in active databases, etc. Figure 1 outlines how a database system reacts to the changing of an environment by incorporation of knowledge discovery and active database techniques: First, the status of an environment is collected into a ....

.... Moreover, since object oriented database consists of rich and complex structures, and such structures may evolve constantly in the life span of a database system, an important application of knowledge discovery in OODBs is at schema formation and schema evolution in object oriented databases [23]. By knowledge discovery, a characteristic rule may partition a database into several different cases, and a discriminant rule may distinguish one class of data from others. This often forms a basis for partitioning data into different classes. Furthermore, there could be different schemes of ....

S. B. Zdonik. Incremental database systems: Database from the ground up. In Proc. 1993 ACM-SIGMOD Conf. Management of Data, pages 408--412, Washington, DC, May 1993.

....system evolution. Database systems are designed under a number of a priori assumptions about how they will be used that fundamentally affect their ability to evolve. The particular example that will be addressed in this paper is the assumption that data is encapsulated within objects in an OODBS. Zdonik [Zdonik, 1993] has identified new classes of application system that require new approaches to evolution. These include scientific applications, data mining, financial applications, multimedia applications, graphics and video applications, text applications and heterogeneous databases. The applications are ....

....The changes may be additive, subtractive or descriptive [Connor et al. 1994] but all require that the data be mapped in complex ways, and dynamically, to an evolving schema. The nature of these applications may be illustrated by the example of a scientific application, again taken from [Zdonik, 1993]. Consider a satellite that is sending weather maps to a monitoring station. Image enhancement techniques may be applied to the data as it arrives, but it is stored initially as raw bitmaps without any higher level information concerning its contents. Further additional structure may be discovered ....

Zdonik, S.B. (1993) Incremental Database Systems: Databases from the Ground Up. In Proc.

....selected and classified (or clustered) such that conceptually similar images are grouped together by content. This requires that image content be described by some coherent semantic domain model rather than relying on the use of keywords as in most commercial image database systems [32] Zdonik [37] proposes that image databases fall into the category of incremental bottom up databases,where a description of the images cannot be predefined to fit with a prescriptive database schema as in conventional databases, but must incrementally evolve to link image instances with a schema, or even ....

S.B. Zdonik, `Incremental Database Systems: Databases from the Ground Up', in Proc ACM SIGMOD93, (1993). GALEN Experiences 9 S.K. Bechhofer C.A.Goble

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Zdonik SB, Incremental Database Systems: Databases from the Ground Up Proc ACM SIGMOD93, pp: 408-412, 1993.

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