Agent of Semantic Annotation of Educational Resources Based on Ontology
Aziz Oriche1, Abderrahman Chekry2, Md. Khaldi3
1Aziz Oriche, Université Abdelmalek Essaâdi, Laboratoire, LIROSA & LNTE, BP Tétouan, Maroc.
2Abderrahman Chekry, Université Abdelmalek Essaâdi, Laboratoire, LIROSA & LNTE, BP Tétouan, Maroc.
3Mohamed Khaldi, Professor NUS Normal Upper School martil, Tetouan, BP Morocco.
Manuscript received on 8 December 2013 | Revised Manuscript received on 18 December 2013 | Manuscript Published on 30 December 2013 | PP: 112-116 | Volume-3 Issue-7, December 2013 | Retrieval Number: G1401123713/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Our goal is to describe the content of learning objects (LO) by semantically annotating with unambiguous information to facilitate the exploitation of these resources by software agents, these resources are defined by XML tags that structure is a tree DOM (Document Object Model) and on the same domain. We assume to have a domain ontology defined concepts, relations between these concepts and properties. We defined the intelligent agent AGSA featuring an annotation module representing a set of declarative rules to annotate nodes and their relationships. Metadata for this module are concepts expressed the father/son relationships type concepts/sub concepts between LO.
Keywords: Semantic Annotation, Metadata, Multi-Agent Systems, Ontology, Learning Object (LO).
Scope of the Article: Cloud Resources Utilization in IoT