Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
COMFRESH: a common framework for expert systems and hypertext
Information Processing and Management: an International Journal
Embedding knowledge in Web documents
WWW '99 Proceedings of the eighth international conference on World Wide Web
Service Trading Using Conceptual Structures
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
Conceptual Graphs for Corporate Knowledge Repositories
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
A Platform Allowing Typed Nested Graphs: How CoGITo Became CoGITaNT (Research Note)
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
A Conceptual Graph Model for W3C Resource Description Framework
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
The CG Formalism as an Ontolingua for Web-Oriented Representation Languages
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
A Method for Reasoning with Ontologies Represented as Conceptual Graphs
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
CGPro V 1.0 - a PROLOG Implementation of Conceptual Graphs
CGPro V 1.0 - a PROLOG Implementation of Conceptual Graphs
Hi-index | 0.00 |
One of the most rapidly evolving e-services is e-Learning, that is, the creation of advanced educational resources that are accessible on-line and, potentially, offer numerous advantages over the traditional ones like intelligent access, interoperability between two or more educational resources and adaptation to the user. The driving force behind these approaches is the definition of the various standards about educational metadata, that is, data describing learning resources, the learner, assessment results, etc. The internal details of systems that utilize these metadata is an open issue since these efforts are primarily dealing with "what" and not "how". Under the light of these emerging efforts, we present CG-PerLS, a knowledge based approach for organizing and accessing educational resources. CG-PerLS is a model of a web portal for learning objects that encodes the educational metadata in the Conceptual Graph knowledge representation formalism, and uses related inference techniques to provide advanced functionality. The model allows learning resource creators to manifest their material and client-side learners to access these resources in a way tailored to their individual profile and educational needs.