Knowledge Engineering for Competence Assessment on Serious Games Based on Semantic Web

2019 ◽  
Author(s):  
Lilia Cheniti-Belcadhi ◽  
Ghada A. El Khayat ◽  
Bilal Said
Keyword(s):  
Semantic Web ◽  
Serious Games ◽  
Knowledge Engineering ◽  
Competence Assessment

Bridging the Mapping between Ontology and Relation Schemas Based on ORMapping Technology

2011 ◽  
Vol 58-60 ◽  
pp. 1523-1528
Author(s):  
Hai Zhong Qian ◽  
Su Bin Shen
Keyword(s):  
Artificial Intelligence ◽  
Information Retrieval ◽  
Semantic Web ◽  
Web Service ◽  
Relational Database ◽  
Knowledge Engineering ◽  
Object Relation ◽  
Learning Method ◽  
Ontology Learning ◽  
Class Hierarchies

Ontology plays a key role in such areas: knowledge engineering, artificial intelligence, information retrieval, semantic web and web service. It is important to recover knowledge associated with specific domains in relational database to semantics, especially, in Ontology learning field. Previous works showed that ontologies can learn from relational database. However, the presented approaches still have some limits. In this paper, we present an ontology learning method based on Object Relation Mapping (ORM) that presents how the source of the databases can be exploited to ontology and the details of object can be generated, such as class hierarchies, relationship and properties.

scholarly journals Knowledge Engineering in a Temporal Semantic Web Context

2008 ◽  
Author(s):  
Viorel Milea ◽  
Flavius Frasincar ◽  
Uzay Kaymak
Keyword(s):  
Semantic Web ◽  
Knowledge Engineering

Capturing the Semantics of Simulation Learning with Linked Data

Gamification ◽  
2015 ◽  
pp. 273-295 ◽  
Author(s):  
Irene Celino ◽  
Daniele Dell'Aglio
Keyword(s):  
Semantic Web ◽  
Learning Environments ◽  
Serious Games ◽  
Linked Data ◽  
Daily Practice ◽  
Learning System ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Simulation Learning ◽  
Learning Data

Knowledge-rich learning environments like simulation learning sessions call for the adoption of knowledge technologies to effectively manage information and data related to the learning supply and to the observation analysis. In this chapter, the authors illustrate the benefits and the challenges from the adoption of Linked Data and Semantic Web technologies to model, store, update, collect, and interpret learning data in simulation environments. The experience gained in applying this approach to a Simulation Learning system based on Serious Games proves the feasibility and the advantages of knowledge technologies in addressing and solving the issues faced by trainers and teachers in their daily practice.

Reverse Engineering OWL 2 Ontologies to UML Models

2014 ◽  
Vol 644-650 ◽  
pp. 3133-3136
Author(s):  
Wei Jun Li
Keyword(s):  
Semantic Web ◽  
Knowledge Representation ◽  
Reverse Engineering ◽  
Knowledge Engineering ◽  
Unified Modeling Language ◽  
Modeling Language ◽  
Web Ontology Language ◽  
Unified Modeling ◽  
Ontology Language ◽  
Uml Models

The OWL 2 Web Ontology Language is an ontology language for the Semantic Web with formally defined meaning and widely used in knowledge representation. The Unified Modeling Language (UML) can be applied for many of software, knowledge engineering and data modeling. For the sake of reusing the OWL 2 ontologies, we propose a reverse engineering approach of constructing UML models from OWL 2 ontologies. In this paper, we propose formalized definitions of OWL 2 ontologies and UML models, and then propose an approach of formally mapping OWL 2 ontologies to UML models.

An Ontological Business Process Modeling Approach for Public Administration

2012 ◽  
pp. 535-563
Author(s):  
Ioannis Savvas ◽  
Nick Bassiliades ◽  
Kalliopi Kravari ◽  
Georgios Meditskos
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Public Administration ◽  
Business Processes ◽  
Knowledge Engineering ◽  
Service Description ◽  
Semantic Web Service ◽  
General Methodology ◽  
Electronic Model ◽  
Administration Procedure

In this chapter, an electronic model of Public Administration’s operation using an ontology as a means to a formalized representation of knowledge is presented. According to the proposed model, every public administration procedure is viewed as a service offered to some external entity and is represented as a (Semantic) Web service, semantically annotating its functional parameters, profile, and workflow. The modeling of public administration services/procedures involved the commonly used IOPE (Inputs – Outputs – Preconditions – Effects) model of OWL-S for Semantic Web Service description. This chapter also presents a specific use case about the Human Resource Management department of the Region of Central Macedonia. In order to do so, certain extensions/adaptations of the general methodology were needed. In this chapter the authors fully present and justify these adaptations that were deployed in order to turn the general methodology into a really flexible and re-usable tool to model any public administration procedure. Furthermore, the authors describe the full knowledge engineering cycle for developing the ontology of this department’s business processes.

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