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Showing 1 to 15 of 252 results Save | Export
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Lin Zhu; Shujuan Xue – International Journal of Web-Based Learning and Teaching Technologies, 2024
In this article, the research of multimedia teaching video content feature extraction is carried out. According to the file structure, data type, and storage mechanism of the teaching video, a program is developed to automatically extract the structural features of the teaching video content, and a storage and retrieval database is established.…
Descriptors: Multimedia Instruction, Video Technology, Technology Uses in Education, Information Storage
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Chen, Xieling; Zou, Di; Cheng, Gary; Xie, Haoran; Jong, Morris – Education and Information Technologies, 2023
Researchers and practitioners are paying increasing attention to blockchain's potential for resolving trust, privacy, and transparency-related issues in smart education. Research on educational blockchain is also becoming an active field of research. Based on 206 studies published from 2017 to 2020, we identify contributors, collaborators,…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Databases
Ullrich, Carsten – International Association for Development of the Information Society, 2016
An ontology expresses a common understanding of a domain that serves as a basis of communication between people or systems, and enables knowledge sharing, reuse of domain knowledge, reasoning and thus problem solving. In Technology-Enhanced Learning, especially in Intelligent Tutoring Systems and Adaptive Learning Environments, ontologies serve as…
Descriptors: Workplace Learning, Manufacturing Industry, Industrial Training, Models
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Fowler, Brad; Godin, Joy; Geddy, Margaret – Journal of Information Systems Education, 2016
Many organizations are dealing with the increasing demands of big data, so they are turning to NoSQL databases as their preferred system for handling the unique problems of capturing and storing massive amounts of data. Therefore, it is likely that employees in all sizes of organizations will encounter NoSQL databases. Thus, to be more job-ready,…
Descriptors: Information Storage, Information Retrieval, Database Management Systems, Databases
Yuan, Dayu – ProQuest LLC, 2013
Graphs are widely used to model structures and relationships of objects in various scientific and commercial fields. Chemical molecules, proteins, malware system-call dependencies and three-dimensional mechanical parts are all modeled as graphs. In this dissertation, we propose to mine and index those graph data to enable fast and scalable search.…
Descriptors: Graphs, Data Collection, Information Retrieval, Databases
Rettenmayer, John W. – Information Storage and Retrieval, 1972
This study proposes and investigates file ordering and retrieval techniques which, it is hypothesized, will: (a) reduce the average cost of retrieving records which satisfy a query, and (b) increase the rate of retrieval in the initial portion of the response period. (8 references) (Author)
Descriptors: Cluster Grouping, Cost Effectiveness, Databases, Information Retrieval
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Salton, Gerard – Journal of the American Society for Information Science, 1972
The role of the generality effect in retrieval system evaluation is assessed, and evaluation results are given for the comparison of several document collections of distinct size and generality in the areas of documentation and aerodynamics. (14 references) (Author)
Descriptors: Databases, Documentation, Evaluation, Evaluation Methods
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Sparck Jones, K.; Van Rijsbergen, C. J. – Journal of Documentation, 1973
Substantial alterations to a system often have little or no effect on particular collections. This may be due to poor separation of relevant and non-relevant documents. The paper presents a procedure for characterizing this separation, which can show whether proposed modifications of the base system are likely to be useful. (8 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
Sparck Jones, Karen – Information Storage and Retrieval, 1973
Retrieval performance with automatic term classifications for three test collections has been variable. This paper attempts to discover why. The real difference between the collections is in the separation of relevant from non-relevant documents. The separation is so poor that classification cannot be expected to succeed. (14 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
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And Others; Zipperer, W. C. – Journal of Chemical Documentation, 1973
Minimum, maximum, and average lengths and frequency counts for the data elements in the Chemical Substance and General Subject segments of the Standard Distribution Format (SDF) files distributed by Chemical Abstracts Service are presented. (5 references) (Authors)
Descriptors: Chemical Nomenclature, Data Processing, Databases, Information Processing
Regazzi, John J. – 1978
The indexing and online searching of data bases have both conflicting and complementary structures, determined in part by the choice of indexing language. In the planning of a machine readable system, the Foundation Center, administrator of two data bases, initially chose a natural language for the lower cost, more rapid implementation, and…
Descriptors: Cost Effectiveness, Databases, Indexing, Information Retrieval
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Sweeney, Urban J. – Special Libraries, 1974
A reorganization of the NASA data base for faster retrieval is described. (PF)
Descriptors: Databases, Information Retrieval, Information Storage
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Heaps, H. S.; Schuegraf, E. J. – Information Processing and Management, 1976
The structure of a retrospective information retrieval system that uses equifrequent word or text fragments is described, and its advantages over word oriented systems are mentioned briefly. (Author)
Descriptors: Databases, Information Retrieval, Information Storage
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King, Donald R. – Journal of Library Automation, 1974
The binary vector is suggested as an alternative to the usual method of storing document pointers in an inverted index file. (Author)
Descriptors: Algorithms, Databases, Indexes, Information Retrieval
Reardon, Bernard C. – Information Storage and Retrieval, 1974
The Retrieval of information by means of freely-chosen descriptors may be handled efficiently by creating an inverted file organization in an adaptive manner, entries in this file being generated by sequential searching of the master file, when required. (Author)
Descriptors: Databases, Information Retrieval, Information Storage, Search Strategies
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