A Prototype Tool for Semantic Validation of UML Class Diagrams with the Use of Domain Ontologies Expressed in OWL 2

2017 ◽  
pp. 49-62 ◽  
Author(s):  
Małgorzata Sadowska
Keyword(s):  
Prototype Tool ◽  
Class Diagrams ◽  
Domain Ontologies

Decomposition of Large Class Diagrams Generated by Reverse Engineering

2011 ◽  
Vol 21 (11) ◽  
pp. 2701-2710
Author(s):  
Hui LIU ◽  
Wei-Zhong SHAO ◽  
Zhi-Yi MA
Keyword(s):  
Reverse Engineering ◽  
Large Class ◽  
Class Diagrams

Comparing Two Decision Support Modes Using the Cognitive Shadow Online Policy-Capturing System

2020 ◽  
Vol 64 (1) ◽  
pp. 1125-1129
Author(s):  
Katherine Labonté ◽  
Daniel Lafond ◽  
Aren Hunter ◽  
Heather F. Neyedli ◽  
Sébastien Tremblay
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Response Pattern ◽  
Policy Capturing ◽  
Model Accuracy ◽  
Prototype Tool ◽  
Human Operators ◽  
Support Decision Making ◽  
Threat Evaluation

The Cognitive Shadow is a prototype tool intended to support decision making by autonomously modeling human operators’ response pattern and providing online notifications to the operators about the decision they are expected to make in new situations. Since the system can be configured either in a reactive “shadowing” or a proactive “recommendation” mode, this study aimed to determine its most effective mode in terms of human and model accuracy, workload, and trust. Subjects participated in an aircraft threat evaluation simulation without decision support or while using either mode of the Cognitive Shadow. Whereas the recommendation mode had no advantage over the control condition, the shadowing mode led to higher human and model accuracy. These benefits were maintained even when the tool was unexpectedly removed. Neither mode influenced workload, and the initial lower trust rating in the shadowing mode faded quickly, making it the best overall configuration for the cognitive assistant.

Energy and Emission Estimator: A Prototype Tool for Designing Canadian Houses

2005 ◽  
Vol 11 (2) ◽  
pp. 50-59 ◽  
Author(s):  
R. Baouendi ◽  
R. Zmeureanu ◽  
B. Bradley
Keyword(s):  
Prototype Tool

A semi search algorithm towards semantic search using domain ontologies

2017 ◽  
Vol 2 (3) ◽  
pp. 191
Author(s):  
Aatif Ahmad Khan ◽  
Sanjay Kumar Malik
Keyword(s):  
Search Algorithm ◽  
Semantic Search ◽  
Domain Ontologies

A web-based e-learning tool for UML class diagrams

2010 ◽  
Author(s):  
J. Soler ◽  
I. Boada ◽  
F. Prados ◽  
J. Poch ◽  
R. Fabregat
Keyword(s):  
Learning Tool ◽  
Web Based ◽  
E Learning ◽  
Class Diagrams

Web Services Composition Algorithm Based on Mine Domain Ontology

2011 ◽  
Vol 403-408 ◽  
pp. 1900-1904 ◽  
Author(s):  
Zhen Wu Wang
Keyword(s):  
Software Engineering ◽  
Web Services ◽  
Semantic Information ◽  
Domain Ontology ◽  
Telecommunication Service ◽  
Formal Description ◽  
Web Services Composition ◽  
Services Composition ◽  
Functional Attributes ◽  
Domain Ontologies

Through analyzing the commonness of mine domain, the paper proposes a composition algorithm of web services based on mine ontology in order to integrate business of mine industries. The paper specially gives the formal description of mine domain ontologies, and proposes the composition algorithm which uses mine domain ontologies. The practice proves that web services composition in certain domain can enhance the efficiency and qulity of services composition. Web services are rapidly changing the landscape of software engineering on account of their outstanding traits, for example big granularity, loose coupling and late-binding mechanisms.Web services selection is the foundation of services composition,and selection methods can be divided into two classes: functional attributes based web services selection method and QoS based web services selection method.The first method is usually used to match single web service and recent literature[1] discusses global function matching problem.Because WSDL lacks semantic information, some scholars[2][3] add semantic information to WSDL in order to increase services matching quality. The second method usually discusses QoS in the global scope,but the selection efficiency and quality are the considered issue. Recent literatures[1][4] add semantic information to QoS attributes ,and literature[2] considers web services selection using the two methods comprehensively. Web services selection usually does not involve certain domain, but the theory and practice of software engineering prove that software reuse in certain domain is easier to succeed. For web services selection based on functional attributes, services selection in certain doamin(for example mine domain) is easier to add semantic information to WSDL because of domain ontology ,and for services selection based on QoS attributes, we can design more appropriate QoS attribute model according to domain requirements. So researching web services selection in certain domain has theoretical and realistic significance. In fact, some literatures begin to research web services selection and composition in certain domain. Literature[3] proposes an intelligent telecommunication service model based on semantic web services according to design the telecommunication service domain ontology, literature[5] discusses web services detection based on oil and gas domain ontology automaticly, and has a good effect. The paper proposes a composition algorithm of web services based on mine domain ontology and the details is organized as follows. Section I gives the formal description of mine domain ontology; Section II is the composition algorithm which bases on mine domain ontology; Section III concludes this paper.

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