Grid Information Retrieval Management System for Dynamically Reconfigurable Virtual Organization

2006 ◽  
Author(s):  
Yangwoo Kim ◽  
Seungha Lee ◽  
Pilwoo Lee ◽  
Gregory Newby
Keyword(s):  
Information Retrieval ◽  
Management System ◽  
Virtual Organization ◽  
Dynamically Reconfigurable

Metadata Design of a Content Management System for Music Virtual Learning Environment

2015 ◽  
Vol 5 (1) ◽  
pp. 56-76
Author(s):  
Agnes Wai Yan Chan ◽  
Elza Yin Ling Chan ◽  
Will Chi Kit Lee ◽  
Benny Yu Ming Leung ◽  
Dickson K.W. Chiu
Keyword(s):  
Information Retrieval ◽  
Learning Environment ◽  
Management System ◽  
Virtual Learning ◽  
Content Management ◽  
Virtual Learning Environment ◽  
Content Management System ◽  
Music Learning ◽  
Learning Materials ◽  
Music Information

Virtual Learning Environment (VLE) uncovers a new learning space for students to start their learning in multidisciplinary subjects and provides an enormous storage for different types of learning materials. This brings not only the ease and flexibility to our learning, but also the challenges in organizing, managing, and controlling of information which is indispensable to the design of an effective online learning system. In particular, Music Information Retrieval (MIR) is an interdisciplinary science on the process of retrieving information from music related resources. Due to the unique application characteristics and various forms of music, appropriate design and application of metadata plays an important role for the MIR in such a Content Management System (CMS) as it would affect the comprehensiveness and effectiveness of the music information retrieval process. In this paper, the authors propose their ontology-based metadata scheme to address such requirements of a music VLE, based on the Dublin Core with modifications according to specific nature of the music learning materials. The metadata design of music resources aims to support students' daily music learning by providing instant and appropriate learning materials which enables cross-collection searching and enhances the sustainability of the contents over time.

scholarly journals Design of University Library and Information Management System Based on Big Data Fusion

2018 ◽  
Vol 232 ◽  
pp. 01010
Author(s):  
Jia Zhang
Keyword(s):  
Big Data ◽  
Information Retrieval ◽  
Data Fusion ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Recall Rate ◽  
Linux Kernel ◽  
University Library ◽  
The University

In order to improve the ability of library and information management in colleges and universities, and improve intelligent retrieval level of books, a design method of library information management system is proposed based on big data fusion. The phase space reconstruction technology is used to reconstruct the feature of library and information. The feature quantity of semantic concept set of library information is extracted, and the classification storage and information retrieval of library information is carried out by fuzzy clustering method. The adaptive training method is used for feature fusion, and big data fusion of library and information is realized in high dimensional feature space. The data processing center is set up under the Linux kernel environment, the application program of the university library information management system is developed under the Linux kernel, and the VXI bus technology is used to transmit and schedule the university library information management information and data. Realize the software development and design of the school library information management system. The test results show that the design of university library information management system with this method has good information storage and scheduling ability, and it improves the performance of library information retrieval. In the information recall rate and recall rate and other indicators performance has an advantage.

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