토픽맵 기반 개인별 학습 콘텐츠 탐색 내비게이터 설계

Abstract

The recent increase in data in the internet has raised the issue of effective organization of information. In the applications like E-Learning, to search for website related to the content of interest, the simple method is to look at the list of matching text. Though this is simple but is not efficient in case of large amount of information. To overcome these shortcomings, researches are being done to provide accuracy of the information resources and to get the related information which helps for the improved information search in the semantic web. Ontology, the core technology of semantic web is a complex structure of information resources and knowledge. One of the better representations of knowledge by ontology is with Topic Map in which the relationship is defined with the help of Ontology Languages. The existing RDF and OWL enable to integrate the different information resources or to merge two or more Topic Map. In this paper, we used Topic Map. In our research we propose the method to build the relationship between the data in the information source. The topic association is the link between the large number of concepts and these associations serve as the huge amount of information data. To construct semantic web we used both collaborate filtering and learning agent. In here collaborate filtering and learning agent are to observe retrieval frequency and learning experiences with the user’s field of interest. We create metadata of user using these preferences and at the same time store log data into database. These make studying efficient by defining the relationship between information of user and studying content through Topic Maps. Moreover we designed the navigator that makes possible to search appropriate studying content for individual’s interest. This navigator reduces searching time to significant amount as compared to the existing methods which scans all informations. As a result we could make the navigator that is possible to provide improved interface for user.