Systematic analysis and evaluation of visual conceptual modeling language notations

2018 ◽  
Author(s):  
Dominik Bork ◽  
Dimitris Karagiannis ◽  
Benedikt Pittl
Keyword(s):  
Conceptual Modeling ◽  
Modeling Language ◽  
Systematic Analysis ◽  
Analysis And Evaluation

CONCEPTUAL MODELING LANGUAGE AGILA MOD

2019 ◽  
Vol 2 (4) ◽  
pp. 246-258 ◽  
Author(s):  
Lore Kern-Bausch ◽  
Kolonko Matthias ◽  
Sabine Müllenbach
Keyword(s):  
Conceptual Modeling ◽  
Modeling Language

Multidimensional research on agrometeorological disasters based on grey BP neural network

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bingjun Li ◽  
Shuhua Zhang
Keyword(s):  
Neural Network ◽  
Natural Disaster ◽  
Bp Neural Network ◽  
Henan Province ◽  
Assessment System ◽  
Systematic Analysis ◽  
Content Type ◽  
Analysis And Evaluation ◽  
Grain Crops ◽  
Disaster Vulnerability

PurposeThe purpose of this study to provide a reference basis for effectively managing the risk of agrometeorological disasters in Henan Province, speeding up the establishment of a scientific and reasonable system of agrometeorological disasters prevention and reduction and guaranteeing grain security.Design/methodology/approachFirstly, according to the statistical data of areas covered by natural disaster, areas affected by natural disaster, sown area of grain crops and output of grain crops from 1979 to 2018 in Henan Province, China. We have constructed an agrometeorological disaster risk assessment system for Henan province, China, which is composed of indicators such as rate covered by natural disaster, rate affected by natural disaster, disaster coefficient of variation and disaster vulnerability. The variation characteristics of agrometeorological disasters in Henan Province and their effects on agricultural production are analyzed. Secondly, the grey relational analysis method is used to analyze the relation degree between the main agrometeorological disaster factors and the output of grain crops of Henan Province. Based on the grey BP neural network, the rate covered by various natural disaster and the rate affected by various natural disaster are simulated and predicted.FindingsThe results show that: (1) the freeze injury in the study period has a greater contingency, the intensity of the disaster is also greater, followed by floods. Droughts, windstorm and hail are Henan Province normal disasters. (2) According to the degree of disaster vulnerability, the ability to resist agricultural disasters in Henan Province is weak. (3) During the study period, drought and flood are the key agrometeorological disasters affecting the grain output of Henan Province, China.Practical implicationsThe systematic analysis and evaluation of agrometeorological disasters are conducive to the sustainable development of agriculture, and at the same time, it can provide appropriate and effective measures for the assessment and reduction of economic losses and risks.Originality/valueBy calculating and analyzing the rate covered by natural disaster, the rate affected by natural disaster, disaster coefficient of variation and disaster vulnerability of crops in Henan Province of China and using grey BP neural network simulation projections for the rate covered by various natural disaster and the rate affected by various natural disaster, the risk assessment system of agrometeorological disasters in Henan is constructed, which provides a scientific basis for systematic analysis and evaluation of agrometeorological disasters.

Designing and Mining Web Applications

2010 ◽  
pp. 401-417
Author(s):  
Rosa Meo ◽  
Maristella Matera
Keyword(s):  
Web Applications ◽  
Conceptual Modeling ◽  
Modeling Language ◽  
Frequent Patterns ◽  
Application Management ◽  
Modeling Methods ◽  
Web Logs ◽  
Dynamic Web ◽  
The Web

In this chapter, we present the usage of a modeling language, WebML, for the design and the management of dynamic Web applications. WebML also makes easier the analysis of the usage of the application contents by the users, even if applications are dynamic. In fact, it makes use of some special-purpose logs, called conceptual logs, generated by the application runtime engine. In this chapter, we report on a case study about the analysis of conceptual logs for testifying to the effectiveness of WebML and its conceptual modeling methods. The methodology of the analysis of the Web logs is based on the datamining paradigm of item sets and frequent patterns, and makes full use of constraints on the conceptual logs’ content. As a consequence, we could obtain many interesting patterns for application management such as recurrent navigation paths, the most frequently visited page’s contents, and anomalies.

Extended Spatiotemporal UML

2002 ◽  
pp. 143-170
Author(s):  
Rosanne Price ◽  
Nectaria Tryfona ◽  
Christian S. Jensen
Keyword(s):  
Unified Modeling Language ◽  
Conceptual Modeling ◽  
Object Oriented ◽  
Spatiotemporal Data ◽  
Modeling Language ◽  
Time Varying ◽  
Unified Modeling ◽  
Functional Specification ◽  
Small Base ◽  
Group Association

This chapter presents a conceptual modeling language for spatiotemporal applications that offers built-in support for capturing spatially referenced, time-varying information. More specifically, the well-known object-oriented Unified Modeling Language (UML) is extended to capture the semantics of spatiotemporal data. The extension, Extended Spatiotemporal UML, maintains language clarity and simplicity by introducing a small base set of fundamental modeling constructs: spatial, temporal, and thematic. These constructs can then be combined and applied at attribute, attribute group, association, and/or class levels of the object-oriented model; where the attribute group is an additional construct introduced for attributes with the same spatiotemporal properties. A formal functional specification of the semantic modeling constructs and their symbolic combinations is given and an example is used to illustrate the simplicity and flexibility of this approach.

scholarly journals Development of an interactive tool based on Education ERPs Software to support the learning of Transversal Competences

2019 ◽  
Author(s):  
Lina Montuori ◽  
Manuel Alcázar-Ortega ◽  
Carlos Vargas-Salgado ◽  
Cristian Chiñas Palacios
Keyword(s):  
Holistic Education ◽  
University Education ◽  
Erp Systems ◽  
Graduate Courses ◽  
Systematic Analysis ◽  
Analysis And Evaluation ◽  
Key Competences ◽  
Support Students ◽  
And Training ◽  
Energy Engineering

According to the current tendencies in University education strategies, students should develop not just the specific competences related to the particular degree they pursue, but also a series of transversal competences (TCs, also called key competences). Such TCs may be transferable between different contexts (personal, social, academic, etc.) while help students to solve problems from different perspectives and so, they would provide students with a holistic education and training. In this framework, the authors present in this paper a tool they have designed for the systematic analysis and evaluation of TCs so as to support students in the achievement of such competences. Moreover, the tool is able to help students to choose the courses that may help them to work out and complement the competences they may not be developed yet, as well as it suggests the most appropriate post-graduate courses for the students according to their background, particular interests and degree of development for the different TCs. The tool has been designed under the scope of vertical ERP systems, which have demonstrated their ability to create collaborative and learning environments with multiple communication functionalities between professors and students. Thus, the tool has been thought as an interactive framework that includes different indexes to monitor the level of development of the diverse TCs, so that it may be accessible to both professors and students during their entire academic life. The tools has been tested within the program of Transversal Competences of the Polytechnic University of Valencia, specifically to the Degree of Energy Engineering.

Extending a Conceptual Modeling Language For Adaptive Web Applications

2008 ◽  
Vol 4 (2) ◽  
pp. 37-56 ◽  
Author(s):  
Raoudha B. Djemaa ◽  
Ikram Amous ◽  
Abdelmajid B. Hamadou
Keyword(s):  
Web Applications ◽  
Conceptual Modeling ◽  
Modeling Language

Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching

2011 ◽  
pp. 125-149 ◽  
Author(s):  
Patrick Delfmann ◽  
Sebastian Herwig ◽  
Lukasz Lis ◽  
Jörg Becker
Keyword(s):  
Pattern Matching ◽  
Model Comparison ◽  
Conceptual Modeling ◽  
Model Analysis ◽  
Model Integration ◽  
Generic Model ◽  
Modeling Language ◽  
Structural Pattern ◽  
Application Problem ◽  
Specific Modeling

Analysis of conceptual models is useful for a number of purposes, such as revealing syntactical errors, model comparison, model integration, and identification of business process improvement potentials, with both the model structure and the model contents having to be considered. In this contribution, we introduce a generic model analysis approach. Unlike existing approaches, we do not focus on a certain application problem or a specific modeling language. Instead, our approach is generic, making it applicable for any analysis purpose and any graph-based conceptual modeling language. The approach integrates pattern matching for structural analysis and linguistic standardization enabling an unambiguous analysis of the models’ contents.

Constraints on Conceptual Join Paths

2011 ◽  
pp. 258-277 ◽  
Author(s):  
Terry Halpin
Keyword(s):  
Unified Modeling Language ◽  
Conceptual Modeling ◽  
Information Modeling ◽  
Modeling Language ◽  
Weak Support ◽  
Unified Modeling ◽  
Systems Model ◽  
Entity Relationship ◽  
Object Role Modeling ◽  
Object Oriented Systems

To ensure that a software system accurately reflects the business domain that it models, the system needs to enforce the business rules (constraints and derivation rules) that apply to that domain. From a conceptual modeling perspective, many application domains involve constraints over one or more conceptual schema paths that include one or more conceptual joins (where the same conceptual object plays roles in two relationships). Popular information modeling approaches typically provide only weak support for such conceptual join constraints. This chapter contrasts how these join constraints are catered for in object-role modeling (ORM), the Unified Modeling Language (UML), the Object-oriented Systems Model (OSM), and some popular versions of entity-relationship (ER) modeling. Three main problems for rich support for join constraints are identified: disambiguation of schema paths, disambiguation of join types, and mapping of join constraints to implementation code. To address these problems, some notational, metamodel, and mapping extensions are proposed.

Sign in / Sign up

Export Citation Format

Share Document