A learning environment based on knowledge storage and retrieval using concept maps

Lexington, KY(2014)

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摘要
In today's digital age, a plethora of websites host knowledge related to various professions. Individuals working in different professions in turn consume this knowledge either to advance their skills or to accomplish their professional responsibilities. As this knowledge is continuously evolving, both in terms of size and content, the process used for acquiring the knowledge becomes important. Concept maps are proven to explicitly facilitate meaningful learning for all age groups. In this paper we propose a new knowledge integration process, implemented using a learning environment that facilitates meaningful learning by enabling the users to make a connection between newly gained and existing knowledge using concept maps. We also discuss an algorithm to construct a meta-map in order to represent collective information related to a topic and explain the various ways to extract valuable information from it.
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关键词
information retrieval,knowledge acquisition,search engines,social networking (online),concept maps,knowledge integration,knowledge storage,learning environment,social networking,bookmarks,recommender systems,classification algorithms,measurement
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