scholarly journals Graph-Based Visual Analytics Tools for Digital Humanities Research

2020 ◽  
pp. paper9-1-paper9-10
Author(s):  
Konstantin Ryabinin ◽  
Konstantin Belousov ◽  
Svetlana Chuprina
Keyword(s):  
Visual Analytics ◽  
Web Application ◽  
Digital Humanities ◽  
Source Code ◽  
Application Domain ◽  
Model Driven ◽  
Visual Model ◽  
Flow Diagrams ◽  
High Level ◽  
Circular Graph

This paper is devoted to the development of the Web application for the visual analytics of the interconnected data within digital humanities research highly adaptable to the specifics of application domain and personal analytics preferences. The circular graph is proposed as a visual model to depict the interconnected data in a comprehensive way. The graph rendering software is organized according to the model-driven architecture utilizing ontology engineering methods and means, which ensure configuration flexibility and modification ease. The functioning scenarios of the application’s visualization component can be changed without its source code modifications, just by editing the under- lying ontology that describes data processing and rendering mechanisms. Extraction, transformation, loading and rendering of the data are con- figured in the intuitive way by data flow diagrams with the help of a high-level graphical editor. The described features are demonstrated on the real-world examples from the digital humanities application domain.

scholarly journals A Model Driven Reverse Engineering Framework for Generating High Level UML Models From Java Source Code

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 158931-158950 ◽  
Author(s):  
Umair Sabir ◽  
Farooque Azam ◽  
Sami Ul Haq ◽  
Muhammad Waseem Anwar ◽  
Wasi Haider Butt ◽  
...  
Keyword(s):  
Reverse Engineering ◽  
Source Code ◽  
Model Driven ◽  
High Level ◽  
Uml Models

Experiences from Using the CORAS Methodology to Analyze a Web Application

2011 ◽  
pp. 483-501 ◽  
Author(s):  
Folker den Braber ◽  
Arne Bjørn Mildal ◽  
Jone Nes ◽  
Ketil Stølen ◽  
Fredrik Vraalsen
Keyword(s):  
Risk Analysis ◽  
Mobile Phone ◽  
Web Application ◽  
The European Union ◽  
Sequence Diagrams ◽  
Model Driven ◽  
Customer Information ◽  
Research Institutes ◽  
Flow Diagrams ◽  
Account Information

During a field trial performed at the Norwegian telecom company NetCom from May 2003 to July 2003, a methodology for model-based risk analysis was assessed. The chosen methodology was the CORAS methodology (CORAS, 2000), which has been developed in a European research project carried out by 11 European companies and research institutes partly funded by the European Union. The risk analysis and assessment were carried out by the Norwegian research institute SINTEF in cooperation with NetCom. NetCom (www.netcom.no) is one of the main mobile phone network providers in Norway. Their ‘MinSide’ application offers their customers access to their personal account information via the Internet, enabling them to view and change the properties of their mobile phone subscription. ‘MinSide’ deals with a lot of sensitive customer information that needs to be secure, while at the same time being easily available tithe customer in order for the service to remain usable and competitive. The goal of the analysis was to identify risks in relation to the use of the ‘MinSide’ application and, where possible, suggest treatments for these risks. This was achieved through two model-driven brainstorming sessions based on system documentation in the form of UML sequence diagrams and data flow diagrams.

A Model-driven Privacy Compliance Decision Support for Medical Data Sharing in Europe

2011 ◽  
Vol 50 (04) ◽  
pp. 326-336 ◽  
Author(s):  
T. Solomonides ◽  
Casassa Mont ◽  
S. Shiu ◽  
M. Rahmouni ◽  
Boussi Rahmouni
Keyword(s):  
Decision Support ◽  
Semantic Web ◽  
Data Sharing ◽  
Web Application ◽  
Privacy Requirements ◽  
Model Driven ◽  
Complete Set ◽  
High Level ◽  
Guideline System

SummaryObjectives: Clinical practitioners and medical researchers often have to share health data with other colleagues across Europe. Privacy compliance in this context is very important but challenging. Automated privacy guidelines are a practical way of increasing users’ awareness of privacy obligations and help eliminating unintentional breaches of privacy. In this paper we present an ontology-plus-rules based approach to privacy decision support for the sharing of patient data across European platforms.Methods: We use ontologies to model the required domain and context information about data sharing and privacy requirements. In addition, we use a set of Semantic Web Rule Language rules to reason about legal privacy requirements that are applicable to a specific context of data disclosure. We make the complete set invocable through the use of a semantic web application acting as an interactive privacy guideline system can then invoke the full model in order to provide decision support.Results: When asked, the system will generate privacy reports applicable to a specific case of data disclosure described by the user. Also reports showing guidelines per Member State may be obtained.Conclusion: The advantage of this approach lies in the expressiveness and extensibility of the modelling and inference languages adopted and the ability they confer to reason with complex requirements interpreted from high level regulations. However, the system cannot at this stage fully simulate the role of an ethics committee or review board.

Experiences from Using the CORAS Methodology to Analyze a Web Application

2008 ◽  
pp. 1865-1883
Author(s):  
Folker Braber ◽  
Arne Mildal ◽  
Jone Nes ◽  
Ketil Stølen ◽  
Fredrik Vraalsen
Keyword(s):  
Risk Analysis ◽  
Mobile Phone ◽  
Web Application ◽  
The European Union ◽  
Sequence Diagrams ◽  
Model Driven ◽  
Customer Information ◽  
Research Institutes ◽  
Flow Diagrams ◽  
Account Information

During a field trial performed at the Norwegian telecom company NetCom from May 2003 to July 2003, a methodology for model-based risk analysis was assessed. The chosen methodology was the CORAS methodology (CORAS, 2000), which has been developed in a European research project carried out by 11 European companies and research institutes partly funded by the European Union. The risk analysis and assessment were carried out by the Norwegian research institute SINTEF in cooperation with NetCom. NetCom (www.netcom.no) is one of the main mobile phone network providers in Norway. Their ‘MinSide’ application offers their customers access to their personal account information via the Internet, enabling them to view and change the properties of their mobile phone subscription. ‘MinSide’ deals with a lot of sensitive customer information that needs to be secure, while at the same time being easily available tithe customer in order for the service to remain usable and competitive. The goal of the analysis was to identify risks in relation to the use of the ‘MinSide’ application and, where possible, suggest treatments for these risks. This was achieved through two model-driven brainstorming sessions based on system documentation in the form of UML sequence diagrams and data flow diagrams.

Experiences from Using the CORAS Methodology to Analyze a Web Application

2006 ◽  
pp. 100-121
Author(s):  
Folker den Braber ◽  
Arne Bjørn Mildal ◽  
Jone Nes ◽  
Ketil Stølen ◽  
Fredrik Vraalsen
Keyword(s):  
Risk Analysis ◽  
Mobile Phone ◽  
Web Application ◽  
The European Union ◽  
Sequence Diagrams ◽  
Model Driven ◽  
Customer Information ◽  
Research Institutes ◽  
Flow Diagrams ◽  
Account Information

During a field trial performed at the Norwegian telecom company NetCom from May 2003 to July 2003, a methodology for model-based risk analysis was assessed. The chosen methodology was the CORAS methodology (CORAS, 2000), which has been developed in a European research project carried out by 11 European companies and research institutes partly funded by the European Union. The risk analysis and assessment were carried out by the Norwegian research institute SINTEF in cooperation with NetCom. NetCom (www.netcom.no) is one of the main mobile phone network providers in Norway. Their ‘MinSide’ application offers their customers access to their personal account information via the Internet, enabling them to view and change the properties of their mobile phone subscription. ‘MinSide’ deals with a lot of sensitive customer information that needs to be secure, while at the same time being easily available to the customer in order for the service to remain usable and competitive. The goal of the analysis was to identify risks in relation to the use of the ‘MinSide’ application and, where possible, suggest treatments for these risks. This was achieved through two model-driven brainstorming sessions based on system documentation in the form of UML sequence diagrams and data flow diagrams.

scholarly journals MoDAr-WA: Tool Support to Automate an MDA Approach for MVC Web Application

Computers ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 89 ◽  
Author(s):  
Imane Essebaa ◽  
Salima Chantit ◽  
Mohammed Ramdani
Keyword(s):  
Web Application ◽  
Source Code ◽  
Specific Model ◽  
Model Transformations ◽  
Tool Support ◽  
Model Driven Architecture ◽  
Application Development ◽  
Model Driven ◽  
Constraints Model ◽  
Independent Model

Model-driven engineering (MDE) uses models during the application development process. Thus, the MDE is particularly based on model-driven architecture (MDA), which is one of the important variants of the Object Management Group (OMG). MDA aims to generate source code from abstract models through several model transformations between, and inside the different MDA levels: computation independent model (CIM), platform independent model (PIM), and platform specific model (PSM) before code. In this context, several methods and tools were proposed in the literature and in the industry that aim to automatically generate the source code from the MDA levels. However, researchers still meet many constraints—model specifications, transformation automation, and level traceability. In this paper, we present a tool support, the model-driven architecture for web application (MoDAr-WA), that implements our proposed approach, aiming to automate transformations from the highest MDA level (CIM) to the lowest one (code) to ensure traceability. This paper is a continuity of our previous works, where we automate transformation from the CIM level to the PIM level. For this aim, we present a set of meta-models, QVT and Acceleo transformations, as well as the tools used to develop our Eclipse plug-in, MoDAr-WA. In particular, we used QVT rules for transformations between models and Acceleo for generating code from models. Finally, we use MoDAr-WA to apply the proposed approach to the MusicStore system case study and compare the generated code from CIM to the original application code.

scholarly journals Defining the semantics of rule-based Web applications through model-driven development

2011 ◽  
Vol 21 (1) ◽  
pp. 41-55 ◽  
Author(s):  
Joaquín Cañadas ◽  
José Palma ◽  
Samuel Túnez
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Conceptual Modeling ◽  
Automatic Process ◽  
Rule Engine ◽  
Production Rules ◽  
Rule Based ◽  
Model Driven Development ◽  
Model Driven ◽  
High Level

Defining the semantics of rule-based Web applications through model-driven developmentRule languages and inference engines incorporate reasoning capabilities to Web information systems. This paper presents an approach for the specification and development of Web applications performing the usual functionalities of data management and incorporating a rule engine for reasoning capabilities. The proposed approach is based on the definition of a high-level representation of the semantics of rule-based applications through a formalism for conceptual modeling combining lightweight ontologies and production rules. These models are used as the source for a model-driven method that applies several transformations to conceptual models generating the rule-based Web application code in an automatic process. As a result, the rule-based Web application embeds a rule engine suitable for deducing information by applying an inference process. The structure of the information managed by the Web application is based on ontology classes, whereas the logical expressions applied in reasoning are obtained from production rules of the model. A rule-based Web application has been developed and evaluated using a supporting tool that implements the ideas presented in this paper.

scholarly journals Extracting Interactive Actor-Based Dataflow Models from Legacy C Code

2021 ◽  
pp. 361-377
Author(s):  
Niklas Rentz ◽  
Steven Smyth ◽  
Lewe Andersen ◽  
Reinhard von Hanxleden
Keyword(s):  
Large Fraction ◽  
Source Code ◽  
Software Systems ◽  
Team Members ◽  
C Language ◽  
Legacy Software ◽  
Model Driven ◽  
Visual Models ◽  
High Level ◽  
Dataflow Models

AbstractGraphical actor-based models provide an abstract overview of the flow of data in a system. They are well-established for the model-driven engineering (MDE) of complex software systems and are supported by numerous commercial and academic tools, such as Simulink, LabVIEW or Ptolemy. In MDE, engineers concentrate on constructing and simulating such models, before application code (or at least a large fraction thereof) is synthesized automatically. However, a significant fraction of today’s legacy system has been coded directly, often using the C language. High-level models that give a quick, accurate overview of how components interact are often out of date or do not exist. This makes it challenging to maintain or extend legacy software, in particular for new team members.To address this problem, we here propose to reverse the classic synthesis path of MDE and to synthesize actor-based dataflow models automatically from source code. Here functions in the code get synthesized into nodes that represent actors manipulating data. Second, we propose to harness the modeling-pragmatic approach, which considers visual models not as static artefacts, but allows interactive, flexible views that also link back to textual descriptions. Thus we propose to synthesize actor models that can vary in level of detail and that allow navigation in the source code. To validate and evaluate our proposals, we implemented these concepts for C analysis in the open source, Eclipse-based KIELER project and conducted a small survey.

scholarly journals Interpretation of Swedish Sign Language Using Convolutional Neural Networks and Transfer Learning

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Gustaf Halvardsson ◽  
Johanna Peterson ◽  
César Soto-Valero ◽  
Benoit Baudry
Keyword(s):  
Neural Networks ◽  
Sign Language ◽  
Transfer Learning ◽  
Convolutional Neural Networks ◽  
Web Application ◽  
Training Dataset ◽  
Motion Processing ◽  
Image Perception ◽  
Sign Languages ◽  
High Level

AbstractThe automatic interpretation of sign languages is a challenging task, as it requires the usage of high-level vision and high-level motion processing systems for providing accurate image perception. In this paper, we use Convolutional Neural Networks (CNNs) and transfer learning to make computers able to interpret signs of the Swedish Sign Language (SSL) hand alphabet. Our model consists of the implementation of a pre-trained InceptionV3 network, and the usage of the mini-batch gradient descent optimization algorithm. We rely on transfer learning during the pre-training of the model and its data. The final accuracy of the model, based on 8 study subjects and 9400 images, is 85%. Our results indicate that the usage of CNNs is a promising approach to interpret sign languages, and transfer learning can be used to achieve high testing accuracy despite using a small training dataset. Furthermore, we describe the implementation details of our model to interpret signs as a user-friendly web application.

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