Developing Conceptual Modeling Tools Using a DSL

When analyzing spatial issues, it is often that the geographer is confronted with many problems concerning the uncertainty of the available information. These problems may appear on the geometric or semantic quality of objects and as a result, a low precision is considered. So, it is necessary to develop representation and modeling methods that are suited to the imprecise nature of geographic data. This leads proposing recently F-Perceptory to manage fuzzy geographic data modeling. From the model described in Zoghlami, et al, (2011) some limits are relieved. F-Perceptory does not manage fuzzy composite geographic objects. The paper shows proposition to enhance the approach by the managing this type of objects in modeling and its transformation to the UML. On the technical level, the object modeling tools commonly used do not take into account fuzzy data. The authors propose new functional modules integrated under an existing CASE tool.

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Toward efficient modeling of fuzzy expert systems: a survey

Agricultural Economics (Zemědělská ekonomika) ◽

10.17221/5051-agricecon ◽

2012 ◽

Vol 52 (No. 10) ◽

pp. 456-460 ◽

Cited By ~ 1

Author(s):

S. Aly ◽

I. Vrana

Keyword(s):

Expert System ◽

Conceptual Modeling ◽

Maintenance Cost ◽

Fuzzy Expert System ◽

Knowledge Modeling ◽

Modeling Tools ◽

Knowledge Based ◽

Application Systems ◽

Fuzzy Expert Systems ◽

Efficient Modeling

Efficient modeling of the artificial intelligence tools has become a necessity in order to cut down the development and maintenance cost associated with building application systems in the business, industrial and agriculture sectors that are frequently amendable to sudden unexpected environmental and economic conditions changes. This can be accomplished through developing an efficient modeling language which exploits the beneficial features of the emerging object-oriented technology. This research is aimed at reviewing the recent scientific aspects of the research concerning conceptual modeling of fuzzy knowledge-based system, which exhibits a large extent of applicability in last few decades due to its capability to deal with vagueness, uncertainty and subjectivity, those are inherent in real world problems. The most recent researches and applications of fuzzy expert system are surveyed. The existing knowledge modeling techniques are reviewed and the prominent ones are pinpointed. This paper is intended to identify the main and common bottlenecks of the existing knowledge modeling tools to overcome it in developing a reliable conceptual model of fuzzy expert system. 

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An overview of the unified modeling language and diagrammatic modeling language design in software engineering

Information Design Journal ◽

10.1075/idj.11.2.07akk ◽

2003 ◽

Vol 11 (2-3) ◽

pp. 151-159 ◽

Cited By ~ 1

Author(s):

M. Naci Akkøk

Keyword(s):

Software Engineering ◽

Unified Modeling Language ◽

Conceptual Modeling ◽

Language Design ◽

Modeling Language ◽

Modeling Languages ◽

Modeling Tools ◽

Short Account ◽

Unified Modeling ◽

Body Of Knowledge

The need to manage the immense complexity in software engineering makes tools and methods essential, and requires that they be designed in accordance with well-defined principles. Surprisingly, there is yet no explicit body of knowledge for designing diagrammatic modeling languages (DMLs), despite the fact that they are used extensively as the primary conceptual modeling tools in software engineering. This paper provides an overview of the new and growing field of DML design that aims at compiling such a body of knowledge. The paper starts with relevant definitions and a brief introduction of the current de-facto standard DML of software engineering called the Unified Modeling Language (UML), and offers a short account of efforts and directions in DML design.

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Design and Implementation of Active Stream Data Warehouses

Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering ◽

10.4018/978-1-7998-9023-2.ch013 ◽

2021 ◽

pp. 288-311

Author(s):

Sandro Bimonte ◽

Omar Boussaid ◽

Michel Schneider ◽

Fabien Ruelle

Keyword(s):

Data Warehouse ◽

Conceptual Modeling ◽

Data Warehouses ◽

Stream Data ◽

Modeling Tools ◽

Uml Profile ◽

Classical Information ◽

Design And Implementation ◽

Eca Rules

In the era of Big Data, more and more stream data is available. In the same way, Decision Support Systems (DSS) tools, such as data warehouses and alert systems, become more and more sophisticated, and conceptual modeling tools are consequently mandatory for successfully DSS projects. Formalisms such as UML and ER have been widely used in the context of classical information and data warehouse systems, but they have not been investigated yet for stream data warehouses to deal with alert systems. Therefore, in this article, the authors introduce the notion of Active Stream Data Warehouse (ASDW) and this article proposes a UML profile for designing Active Stream Data Warehouses. Indeed, this article extends the ICSOLAP profile to take into account continuous and window OLAP queries. Moreover, this article studies the duality of the stream and OLAP decision-making process and the authors propose a set of ECA rules to automatically trigger OLAP operators. The UML profile is implemented in a new OLAP architecture, and it is validated using an environmental case study concerning the wind monitoring.

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Enhanced F-Perceptory Approach for Dealing with Geographic Data Imprecision from the Conceptual Modeling to the Fuzzy Geographical Database Building

Advances in Geospatial Technologies - Handbook of Research on Geographic Information Systems Applications and Advancements ◽

10.4018/978-1-5225-0937-0.ch009 ◽

2017 ◽

pp. 238-267

Author(s):

Besma Khalfi ◽

Cyril De Runz ◽

Herman Akdag

Keyword(s):

Conceptual Modeling ◽

Fuzzy Data ◽

Functional Modules ◽

Modeling Tools ◽

Modeling Methods ◽

Geographic Data ◽

Data Imprecision ◽

Available Information ◽

Geographic Data Modeling

When analyzing spatial issues, it is often that the geographer is confronted with many problems concerning the uncertainty of the available information. These problems may appear on the geometric or semantic quality of objects and as a result, a low precision is considered. So, it is necessary to develop representation and modeling methods that are suited to the imprecise nature of geographic data. This leads proposing recently F-Perceptory to manage fuzzy geographic data modeling. From the model described in Zoghlami, et al, (2011) some limits are relieved. F-Perceptory does not manage fuzzy composite geographic objects. The paper shows proposition to enhance the approach by the managing this type of objects in modeling and its transformation to the UML. On the technical level, the object modeling tools commonly used do not take into account fuzzy data. The authors propose new functional modules integrated under an existing CASE tool.

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Resilience of Interdependent Water and Power Systems: A Literature Review and Conceptual Modeling Framework

Water ◽

10.3390/w13202846 ◽

2021 ◽

Vol 13 (20) ◽

pp. 2846

Author(s):

Konstantinos Oikonomou ◽

Kendall Mongird ◽

Jennie S. Rice ◽

Juliet S. Homer

Keyword(s):

Literature Review ◽

Power Systems ◽

Conceptual Modeling ◽

Collaborative Governance ◽

Extensive Literature ◽

Modeling Framework ◽

Technical Literature ◽

Modeling Tools ◽

Service Interruption ◽

The Face

As increasing pressures of population growth and climate change arise, water and power systems (WPS) are becoming increasingly interdependent. This interdependency has resulted in an increased potential for cascading failures, whereby the service interruption of one system can propagate to interdependent ones. This paper makes four contributions. First, we present an extensive literature review in the field of integrated water and power resilience, leveraging both institutional and technical literature research landscapes. We compare various modeling approaches used to model interdependent WPS and discuss the different metrics and definitions that are typically employed to quantify and define resilience. Relevant challenges and gaps related to modeling tools and metrics are also discussed, and appropriate recommendations are made. Second, the paper presents a visualization prototype for interdependent WPS to showcase water and power system interdependencies and reveal co-managed resilience strategies that can be used to improve resilience under different types of common threats. Third, we provide a conceptual decision support framework that simultaneously optimizes a portfolio of co-managed resilience strategies in the face of multiple, uncertain threats and addresses WPS interdependencies. Finally, we present future trends regarding digitalization, integrated planning, collaborative governance, and equity needs for building more resilient WPS.

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Design and Implementation of Active Stream Data Warehouses

International Journal of Data Warehousing and Mining ◽

10.4018/ijdwm.2019040101 ◽

2019 ◽

Vol 15 (2) ◽

pp. 1-21 ◽

Cited By ~ 1

Author(s):

Sandro Bimonte ◽

Omar Boussaid ◽

Michel Schneider ◽

Fabien Ruelle

Keyword(s):

Data Warehouse ◽

Conceptual Modeling ◽

Decision Making Process ◽

Data Warehouses ◽

Stream Data ◽

Modeling Tools ◽

Uml Profile ◽

Classical Information ◽

Eca Rules

In the era of Big Data, more and more stream data is available. In the same way, Decision Support Systems (DSS) tools, such as data warehouses and alert systems, become more and more sophisticated, and conceptual modeling tools are consequently mandatory for successfully DSS projects. Formalisms such as UML and ER have been widely used in the context of classical information and data warehouse systems, but they have not been investigated yet for stream data warehouses to deal with alert systems. Therefore, in this article, the authors introduce the notion of Active Stream Data Warehouse (ASDW) and this article proposes a UML profile for designing Active Stream Data Warehouses. Indeed, this article extends the ICSOLAP profile to take into account continuous and window OLAP queries. Moreover, this article studies the duality of the stream and OLAP decision-making process and the authors propose a set of ECA rules to automatically trigger OLAP operators. The UML profile is implemented in a new OLAP architecture, and it is validated using an environmental case study concerning the wind monitoring.

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Low-Carbon Russia: Prospects after the Crisis

Voprosy Ekonomiki ◽

10.32609/0042-8736-2009-10-107-120 ◽

2009 ◽

pp. 107-120 ◽

Cited By ~ 3

Author(s):

I. Bashmakov

Keyword(s):

Economic Growth ◽

Potential Energy ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Low Carbon ◽

Modeling Tools ◽

Gas Emissions ◽

Scenario Approach

On the eve of the worldwide negotiations of a new climate agreement in December 2009 in Copenhagen it is important to clearly understand what Russia can do to mitigate energy-related greenhouse gas emissions in the medium (until 2020) and in the long term (until 2050). The paper investigates this issue using modeling tools and scenario approach. It concludes that transition to the "Low-Carbon Russia" scenarios must be accomplished in 2020—2030 or sooner, not only to mitigate emissions, but to block potential energy shortages and its costliness which can hinder economic growth.

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