A Semantic Web Service Architecture for Learing Object Repositories

2011 ◽  
pp. 141-158 ◽  
Author(s):  
José-Manuel Lopez-Cobo ◽  
Sinuhé Arroyo ◽  
Miguel-Angel Sicilia ◽  
Salvador Sanchez
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Learning Objects ◽  
Learning Object ◽  
Learning Technology ◽  
Computational Semantics ◽  
Semantic Web Service ◽  
Service Architecture ◽  
Develop Technology ◽  
Definition Of

The evolution of learning technology standards has resulted in a degree of interoperability across systems that enable the interchange of learning contents and activities. Nonetheless, learning resource metadata does not provide formal computational semantics, which hampers the possibilities to develop technology that automates tasks like learning object selection and negotiation. In this paper, the provision of computational semantics to metadata is addressed from the perspective of the concept of Semantic Web service. An architecture based on the specifications of the WSMO project is described, including the definition of an ontology for learning object metadata, and issues of mediation, all under the perspective of the learning object repository as the central entity in learning object reuse scenarios. The resulting framework serves as a foundation for advanced implementations that consider formal metadata semantics as a mechanism for the automation of tasks related to the interchange of learning objects.

Discovery Mechanism for Learning Semantic Web Service

Web Services ◽  
2019 ◽  
pp. 575-596
Author(s):  
Chaker Ben Mahmoud ◽  
Ikbel Azaiez ◽  
Fathia Bettahar ◽  
Faiez Gargouri
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Learning Style ◽  
Learning Objects ◽  
Learning Object ◽  
Traditional Learning ◽  
Semantic Web Service ◽  
Learning Intention ◽  
Learning Path ◽  
E Learning

Nowadays, e-learning offers advantages over traditional learning in terms of independence. Moreover, adaptive e-learning systems take into account learner's profile, such as learning style and level of knowledge, in order to provide the most appropriate learning object. However, the essential challenge is finding and identifying the learning objects from a big corpus while ensuring their independence in different contexts. To overcome these problems of interoperability and accessibility of learning objects, the authors proposed to define a learning semantic Web service for each learning object. This service is an extension of OWLS that encompasses the description of the learning intention and the use of context that characterize a learning object. In this paper, the authors propose a new discovery mechanism based on learning intention and context use guided by the learner's intention and profile in order to offer a personalized learning path. Experimental results prove the efficiency of the proposed approach and approve its notable contribution.

Discovery Mechanism for Learning Semantic Web Service

2016 ◽  
Vol 12 (1) ◽  
pp. 23-43 ◽  
Author(s):  
Chaker Ben Mahmoud ◽  
Ikbel Azaiez ◽  
Fathia Bettahar ◽  
Faiez Gargouri
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Learning Style ◽  
Learning Objects ◽  
Learning Object ◽  
Traditional Learning ◽  
Semantic Web Service ◽  
Learning Intention ◽  
Learning Path ◽  
E Learning

Nowadays, e-learning offers advantages over traditional learning in terms of independence. Moreover, adaptive e-learning systems take into account learner's profile, such as learning style and level of knowledge, in order to provide the most appropriate learning object. However, the essential challenge is finding and identifying the learning objects from a big corpus while ensuring their independence in different contexts. To overcome these problems of interoperability and accessibility of learning objects, the authors proposed to define a learning semantic Web service for each learning object. This service is an extension of OWLS that encompasses the description of the learning intention and the use of context that characterize a learning object. In this paper, the authors propose a new discovery mechanism based on learning intention and context use guided by the learner's intention and profile in order to offer a personalized learning path. Experimental results prove the efficiency of the proposed approach and approve its notable contribution.

scholarly journals On the Concepts of Usability and Reusability of Learning Objects

2003 ◽  
Vol 4 (2) ◽  
Author(s):  
Miguel-Angel Sicilia ◽  
Elena Garcia
Keyword(s):  
Learning Objects ◽  
Usability Evaluation ◽  
Learning Object ◽  
Learning Technology ◽  
Technology Standards ◽  
Educational Applications ◽  
Definition Of ◽  
Key Terms ◽  
Specific Learning

<p> “Reusable learning objects” oriented towards increasing their potential reusability are required to satisfy concerns about their granularity and their independence of concrete contexts of use. Such requirements also entail that the definition of learning object “usability,” and the techniques required to carry out their “usability evaluation” must be substantially different from those commonly used to characterize and evaluate the usability of conventional educational applications. In this article, a specific characterization of the concept of learning object usability is discussed, which places emphasis on “reusability,” the key property of learning objects residing in repositories. The concept of learning object reusability is described as the possibility and adequacy for the object to be usable in prospective educational settings, so that usability and reusability are considered two interrelated – and in many cases conflicting – properties of learning objects. Following the proposed characterization of two characteristics or properties of learning objects, a method to evaluate usability of specific learning objects will be presented. </p> <p><b>Key Terms:</b> Learning objects, reusability, usability evaluation, learning technology standards</p>

scholarly journals Reusability and Learning Objects: Problems and a Proposed Solution

10.28945/3256 ◽  
2008 ◽  
Author(s):  
Namdar Mogharreban ◽  
David Guggenheim
Keyword(s):  
Semantic Web ◽  
Return On Investment ◽  
Military Training ◽  
Natural Extension ◽  
Learning Objects ◽  
Learning Object ◽  
Object Size ◽  
Contributing Factors ◽  
The Core ◽  
Definition Of

Learning objects have long promised dramatic savings of time and money in course and curricula development, but they have failed to deliver the return on investment that seems a natural extension of their existence - reusability. Because a single hour of online instruction can take up to 300 hours to develop (Kapp 2003), reusability is the core value message offered by learning object promoters, from the earliest days to the present. Yet, after 12 years of successive evolution, learning objects are still primarily a collection of stand-alone modules that rarely interconnect outside of strictly controlled regimes, such as those imposed by corporate and military training guidelines. Among the contributing factors to this impediment are definition of learning object, size of a learning object and aesthetics of a learning object. In response to this shortcoming, we propose to introduce a new entity - the learning pod. Engineered for reusability, the learning pod incorporates several modules that bring current technology to create an experientially seamless interconnection between disparate learning objects. These modules communicate with one another to build a consistent unit of instruction that uses several learning objects depending on the requirements. Several technologies including semantic web, XSL/XML and CSS are utilized to achieve presentation cohesiveness.

Semantic Web Service Based Framework for Inter-Organizational Business Process Management

2010 ◽  
Vol 156-157 ◽  
pp. 915-918 ◽  
Author(s):  
Ming Wei Wang ◽  
Shu Sheng Zhang ◽  
Jing Tao Zhou
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Process Management ◽  
Business Processes ◽  
Service Capacity ◽  
Semantic Web Service ◽  
Engineering Collaboration ◽  
Implementation Techniques ◽  
Flexible Framework ◽  
Definition Of

To support business and engineering collaboration in the diversified and global markets, enterprises are trying hard to continuously align their actual business processes to response customers’ demands. In this context, a flexible framework for inter-organizational process management is proposed, in which ontologies and semantic web service technologies are used throughout process modeling, implementation and execution. Heterogeneous manufacturing resources are encapsulated as uniform semantic web services, called manufacturing services, which are published, located and combined into executable processes. By means of formally definition of service capacity and as the mediation, business logic and implementation techniques is loosely coupling relationship, so enterprises can collaborate without prior relationship established and adjust their processes on demand.

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