An Information Management Environment Based on the Model of Object Primitives

Author(s):  
Nekatarios Georgalas

The explosive emergence of distributed computing environments and component-based architectures increases the demand for flexible information modeling paradigms. A review of the state-of-the-art shows that contemporary modeling methods and technology, such as object-orientation (OO) and CORBA, facilitate to an extent the functional integration of heterogeneous information management systems. However, there are still issues to be resolved that mainly involve (i) the inflexibility of modeling semantics adopted by OO methods, (ii) the complication of developing new service components and their deployment in a distributed management environment. This chapter attempts to pinpoint some of those difficulties and suggests ways to overcome them. In this direction, we give a short overview of the problems encountered in the current state-of-the-art that act as motivation for this research. In response to challenges identified, we then continue on two main strands of analysis, one theoretical and one practical. In the theoretical part we introduce the Model of Object Primitives. It aims at providing a more flexible way to model information. The main objective here is to simply pinpoint the basic principles and elements of the model and not provide a thorough analysis of its semantics. The semantics of the model is analytically described in (Georgalas, 2000). Finally, in the practical part we present an information management architecture that adopts the idea of primitives in order to build components and deliver information services to client applications.

2021 ◽  
Vol 12 (5) ◽  
pp. 1453-1465
Author(s):  
Jihen El Khaldi ◽  
Lotfi Bouslimi ◽  
Hamza Wertani ◽  
Mohamed Najeh Lakhoua

The concept of Smart Grids refers to a complex ecosystem that can be described as a combination of systems to capture its most structural elements. When studying these complex systems, the traditional tools of the Cartesian methods have shown their limits. There is therefore a need to resort to other methods to model them. These modeling methods are generally classified and grouped into five families: functional modeling, decision modeling, resource modeling, information modeling and mixed modeling.  This review provides an overview of the state of the art of an intelligent network. The classification of modeling methods is also presented. Then an application of the bond graph approach will be explained. Finally we describe a general idea on the management of smart grids.


Author(s):  
Chin-Wan Chung ◽  
Chang-Ryong Kim ◽  
Son Dao

For the interoperability of heterogeneous information management systems, schema mapping approaches have been used to build a unified view. The schema mapping approach offers full transparencies and is very powerful from the user’s point of view. However, the traditional mapping approach needs to be strengthened for information management systems that have non-traditional data types, no schema, or incompatible schemas. We have incorporated numerous concepts and constructs associated with the knowledge and object-oriented paradigm such as abstract views with a set of procedures, encapsulation, inheritance and class composition hierarchies to resolve the above problem. This extension also accommodates the ability to determine and explicitly represent the semantics in the schema. Additionally, we have outlined a query processing method using the unified view. We are currently developing a prototype to support seamless access to structured data and unstructured data managed by different information management systems.


2021 ◽  
Vol 11 (19) ◽  
pp. 9333
Author(s):  
Zhen Xu ◽  
Mingzhu Qi ◽  
Yingying Wu ◽  
Xintian Hao ◽  
Yajun Yang

The concept of city information modeling (CIM) has become increasingly popular in recent years. A literature review of previous CIM studies is presented in this paper. First, a bibliometric analysis of the current global CIM research is described, revealing that CIM has become a significant research hotspot. Next, three main research areas of the current CIM technique, namely data collection, integration, and visualization, are summarized to describe the characteristics of CIM research. Furthermore, some widely used CIM platforms are compared, and typical application cases of the CIM technique at different stages of the city life cycle are summarized. Finally, the current issues in CIM research are discussed, and future development directions are proposed. The findings of this study are expected to help researchers understand the current state of CIM and identify future development directions, thereby promoting CIM research development.


1995 ◽  
Vol 38 (5) ◽  
pp. 1126-1142 ◽  
Author(s):  
Jeffrey W. Gilger

This paper is an introduction to behavioral genetics for researchers and practioners in language development and disorders. The specific aims are to illustrate some essential concepts and to show how behavioral genetic research can be applied to the language sciences. Past genetic research on language-related traits has tended to focus on simple etiology (i.e., the heritability or familiality of language skills). The current state of the art, however, suggests that great promise lies in addressing more complex questions through behavioral genetic paradigms. In terms of future goals it is suggested that: (a) more behavioral genetic work of all types should be done—including replications and expansions of preliminary studies already in print; (b) work should focus on fine-grained, theory-based phenotypes with research designs that can address complex questions in language development; and (c) work in this area should utilize a variety of samples and methods (e.g., twin and family samples, heritability and segregation analyses, linkage and association tests, etc.).


1976 ◽  
Vol 21 (7) ◽  
pp. 497-498
Author(s):  
STANLEY GRAND

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