Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 9 |
Descriptor
Classification | 33 |
Information Storage | 33 |
Information Retrieval | 19 |
Databases | 7 |
Information Systems | 7 |
Information Management | 6 |
Models | 6 |
Documentation | 5 |
Indexing | 5 |
Internet | 5 |
Computer Software | 4 |
More ▼ |
Source
Author
Bowker, Geoffrey C. | 1 |
Buckland, Michael | 1 |
Case, Donald Owen | 1 |
Cechinel, Cristian | 1 |
Chander Diwaker | 1 |
Chowdhury, G. G. | 1 |
Coates, E. J. | 1 |
Cohen, Anat | 1 |
Cooper, David | 1 |
Curran, Charles | 1 |
DeBardeleben, Marian Z. | 1 |
More ▼ |
Publication Type
Journal Articles | 33 |
Reports - Descriptive | 15 |
Reports - Research | 9 |
Opinion Papers | 6 |
Information Analyses | 5 |
Reports - Evaluative | 5 |
Guides - Non-Classroom | 2 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Elementary Secondary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Location
India | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chander Diwaker; Neha Miglani – Journal of Computer Assisted Learning, 2025
Background: The ever-increasing computational demands call for optimal resource utilisation and system performance in the cloud environment. Organisations are increasingly migrating workloads to cloud platforms, mandating the need for efficient resource distribution. Load balancing, a critical cloud component, ensures equitable distribution of…
Descriptors: Internet, Information Storage, Educational Practices, Computation
Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Education and Information Technologies, 2020
With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…
Descriptors: Electronic Learning, Internet, Information Storage, Models
Mishra, Sanju; Jain, Sarika – International Journal of Web-Based Learning and Teaching Technologies, 2019
Information integration is great for military operations because the range of pertinent information sources is significantly distinct and dynamic. This article develops an intelligent knowledge treasure comprised of military resource ontology and procedures, as a learning model for better interoperability of heterogeneous resources of the Indian…
Descriptors: Military Science, Foreign Countries, Models, Information Storage
Liyanagunawardena, Tharindu R.; Scalzavara, Sandra; Williams, Shirley A. – European Journal of Open, Distance and E-Learning, 2017
Open badges are a digital representation of skills or accomplishments recorded in a visual symbol that is embedded with verifiable data and evidence. They are created following a defined open standard, so that they can be shared online. Open badges have gained popularity around the world in recent years and have become a standard feature of many…
Descriptors: Recognition (Achievement), Information Storage, Evaluation Methods, Electronic Learning
Halder, Basudev; Mitra, Sucharita; Mitra, Madhuchhanda – International Journal of Web-Based Learning and Teaching Technologies, 2020
This paper illustrates the cloud-based telemonitoring framework that implements healthcare automation system for myocardial infarction (MI) disease classification. For this purpose, the pathological feature of ECG signal such as elevated ST segment, inverted T wave, and pathological Q wave are extracted, and MI disease is detected by the…
Descriptors: Access to Health Care, Automation, Information Storage, Telecommunications
Dietze, Stefan; Taibi, Davide; Yu, Hong Qing; Dovrolis, Nikolas – British Journal of Educational Technology, 2015
Reusable educational resources became increasingly important for enhancing learning and teaching experiences, particularly in the medical domain where resources are particularly expensive to produce. While interoperability across educational resources metadata repositories is yet limited to the heterogeneity of metadata standards and interface…
Descriptors: Medical Education, Educational Resources, Databases, Metadata
Cohen, Anat; Reisman, Sorel; Sperling, Barbra Bied – International Review of Research in Open and Distributed Learning, 2015
Learning object repositories are a shared, open and public space; however, the possibility and ability of personal expression in an open, global, public space is crucial. The aim of this study is to explore personal spaces in a big learning object repository as a facilitator for adoption of Open Educational Resources (OER) into teaching practices…
Descriptors: Resource Units, Shared Resources and Services, Access to Information, Information Storage
Cechinel, Cristian; Sanchez-Alonso, Salvador; Garcia-Barriocanal, Elena – Computers & Education, 2011
The continuously growth of learning resources available in on-line repositories has raised the concern for the development of automated methods for quality assessment. The current existence of on-line evaluations in such repositories has opened the possibility of searching for statistical profiles of highly-rated resources that can be used as…
Descriptors: Discriminant Analysis, Educational Resources, Classification, Automation
Soergel, Dagobert – Drexel Library Quarterly, 1982
This discussion of the general principles of structure and construction of numeric databases introduces the concept of data points, their relationship to each other, and their storage in a nonredundant way. The collection of numeric data and their integration into the database structure are explained. Eight references are cited. (EJS)
Descriptors: Classification, Data Collection, Data Processing, Databases
Holmes, Thomas F.; Gentry, Castelle G. – Audiovisual Instruction, 1979
Describes the personal inverted filing system (PIFS) which features (1) storage accession numbers, (2) main entry bibliography cards, (3) retrieval by matrix or bibliography cards, and (4) classification by descriptors from existing thesauri. (CMV)
Descriptors: Classification, Filing, Guides, Information Retrieval

Kwasnik, Barbara H. – Journal of Documentation, 1991
Describes a study that was conducted to investigate and describe the way in which people organize documents in their offices. Results from the investigation of eight faculty members are discussed and analyzed, the process used to make classification decisions is described, and implications for conventional systems of classification are suggested.…
Descriptors: Classification, Content Analysis, Criteria, Decision Making

DeBardeleben, Marian Z.; Lunsford, Carol G. – Special Libraries, 1982
Recounts the development of a slide storage and retrieval system at the Philip Morris Research Center in Richmond, Virginia and describes the methods used to classify and access slides in the collection. A reference list and three appendices accompany the text. (JL)
Descriptors: Archives, Automatic Indexing, Classification, Indexing

Miller, Uri – Information Processing & Management, 1997
Discusses general problems of thesaurus construction theory and practice. Highlights include lexical control and its tools in various databases; natural language versus conceptual networks; systems approach; thesaurus versus classification, including associative relations; and thesaurus role in information storage and retrieval. (110 references)…
Descriptors: Classification, Databases, Information Retrieval, Information Storage

Zaki, M.; Elboraey, F. – Information Processing and Management, 1985
Investigates applicability of inverted file processing in magnetic bubble memories by presenting four magnetic bubble memory models as storage mediums: one based on a major-minor loop configuration; one utilizing a decoder design on a magnetic bubble memory chip; and two based on different structural configurations of the first two. (MBR)
Descriptors: Algorithms, Classification, Computer Storage Devices, Data Processing
Curran, Charles – American Libraries, 2001
Defines library and information science as the creation, sorting, managing, and transferring of information. Introduces ODAPCOSRIU (origin, dissemination, acquisition, properties, classification, organization, storage, retrieval, interpretation and use) to help define it and explains I&OE (Inner and Outer Environment Model) as a graphic…
Descriptors: Classification, Information Dissemination, Information Management, Information Retrieval