Results 71 to 80 of about 319,043 (311)
Semantic query in a relational database using a local ontology construction (Retraction)
South African Journal of Science, 2020 The Editor-in-Chief is retracting the paper entitled ‘Semantic query in a relational database using a local ontology construction’ by Saeed M. Sedighi (corresponding author) and Reza Javidan, published in the November/December 2012 issue (volume 108 ...
Saeed M. Sedighi, Reza Javidan
doaj +1 more source
Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source
Survey on relational database watermarking techniques [PDF]
, 2016 Digital watermarking has been in multimedia data use over the past years. Recently it has become applicable in relational database system not only to secure copyright ownership but also to ensure data contents integrity.
Abd. Manaf, A. +4 more
core +1 more source
Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science
Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto +2 more
wiley +1 more source
Probabilistic Relational Model Benchmark Generation [PDF]
, 2016 The validation of any database mining methodology goes through an evaluation process where benchmarks availability is essential. In this paper, we aim to randomly generate relational database benchmarks that allow to check probabilistic dependencies ...
Chulyadyo, Rajani +2 more
core +2 more sources
Valuing curation infrastructures
Journal of the Association for Information Science and Technology, EarlyView.Abstract This study uses a theoretical lens of infrastructural dimensions to examine stakeholders' perceptions of the value of curation, focusing on the social science data repository, the Inter‐university Consortium for Political and Social Research (ICPSR).
Morgan F. Wofford +4 more
wiley +1 more source
Transfer Learning for Battery Cell Manufacturing: Review On Applications, Challenges, and Benefits
Batteries &Supercaps, EarlyView.Applying machine learning (ML) to pre‐series production of battery cells faces the challenge of small datasets. Transfer Learning (TL) counteracts this challenge by utilizing existing knowledge. In this paper, a review of TL in manufacturing and ML in battery cell production are conducted.
Marten Klenner +5 more
wiley +1 more source
Automated Algorithm for Data Migration from Relational to NoSQL Databases
مجلة النهرين للعلوم الهندسية, 2018 One of the barriers that the developer community face once turning to the newly, highly distributable, schema agnostic and non-relational database, called NoSQL, which is how to migrate their legacy relational database (which is already filled with a ...
Alza A. Mahmood
doaj +1 more source
DATA MINING IN RELATIONAL SYSTEMS
Сучасний стан наукових досліджень та технологій в промисловості, 2020 The subject of the research is methods of relational database mining. The purpose of the research is to develop scientifically grounded models for supporting intelligent technologies for integrating and managing information resources of distributed ...
Valentin Filatov +2 more
doaj +1 more source
British Educational Research Journal, EarlyView.Abstract The introduction of artificial intelligence (AI) into education holds promise for supporting and augmenting teaching and learning‐related activities. Yet, despite its potential, there is limited empirical research on the use of AI in K‐12 settings exploring the pedagogical grounding, impact and implications of the technological solutions.
Paraskevi Topali +3 more
wiley +1 more source