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Research on Ontology Technology’s Applications in Cooperative Learning Interactive Information Processing

Author: XuYanYan
Tutor: QiaoHong
School: Shandong Normal University
Course: Management Science and Engineering
Keywords: Domain ontology Chinese word segmentation Filter Collaborative learning Information Extraction
CLC: C931
Type: Master's thesis
Year: 2011
Downloads: 46
Quote: 0
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Abstract


With the development of computer technology, especially the rapid development of multimedia technology, network technology, the traditional mode of learning has been unable to meet the strong demand knowledge to become the main mode of learning, web-based collaborative learning. Collaborative learning in the network environment to allow the existence of time and space, geographical distribution, and their interactions can occur synchronously or asynchronously occur. The interactive process of the learning process of learning. Interaction will produce a large number of audio, video, free text information. The object of this paper is the text information. Interactive learning can be uploaded to the database, so that learning in the inquiry process and constantly enrich and update the effective sharing of resources. Interaction information is disorganized, the user information is often distributed in different locations in interactive information, users just need them only limited information, which is not conducive to the sharing of resources, and reduce the user's learning efficiency. To address this challenge, there is an urgent need of some automated tools to help people find a real need in the flood of information sources. Therefore, we introduce the technical information extraction IE (Information Extraction). IE is a task-oriented practical document understanding technology factual information (factual information), it is directly extracted from natural language text. Often, the information is extracted in the form of a structured description, can be directly stored in the database for the user's query, text deep excavation, automatic answer questions and purposes. Some systems generally use a combination of keywords with wildcards sequence as a template. However, this structure there are a lot of limitations. This limitation is mainly manifested in the disorder and ambiguity of the words. No fixed order relation between words and meaning expressed in different locations may be different. In order to solve this problem, we have introduced in an information extraction system ontology technique. The body can improve this situation very well. The body is generally a field, in this article we propose a new method to build domain ontology. On this basis, combined with the Chinese word segmentation, to design ontology-based information extraction system. In this paper, we use the Protégé4.0 domain ontology building a computer maintenance with the Jena tool body stored in the database, and read data. Used key technologies include: filtration, Chinese word segmentation, ontology construction. Ontology-based collaborative learning interactive information processing system, will greatly enhance collaborative learning, learning efficiency and resource utilization.

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