№ lp_1_2_30871
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The document provides best practices for semantic data modeling to improve database performance and scalability, especially in the context of object-oriented and relational approaches.
Year:
2008
Region / city:
Not specified
Topic:
Semantic Data Modeling, Database Performance, Scalability
Document Type:
Technical Article
Organization / Institution:
Microsoft Corporation
Author:
Sharon Bjeletich
Target Audience:
Database developers, IT professionals, database architects
Effective Period:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2010
Region / City:
Sydney, Australia
Industry:
Hosting
Organization size:
SMB
Target audience:
Small and medium-sized businesses, particularly professional service companies and security-conscious organizations
Period of validity:
Ongoing
Approval date:
N/A
Date of changes:
N/A
Year:
2015
Region / City:
Global
Topic:
ERP, Transactional Replication, SQL Server, Microsoft Dynamics
Document Type:
Technical White Paper
Organization / Institution:
Microsoft
Author:
Prabhakaran Sethuraman
Target Audience:
Developers, Architects, Database Administrators
Validity Period:
N/A
Approval Date:
October 2015
Change Date:
N/A
Year:
2012
Region / City:
Luton, England
Industry:
Air transportation services
Document Type:
Case study
Organization:
easyJet
Author:
Microsoft
Target Audience:
Business and IT professionals, cloud computing enthusiasts
Period of Action:
2012-2013
Approval Date:
April 2012
Modification Date:
None
Technology:
Windows Azure, Visual Studio 2010, System Center 2012
Software and Services:
Windows Azure platform, Microsoft Visual Studio, Microsoft Visual Studio 2010
Business Needs:
Scalability, cost-effectiveness, service improvement
Solution Implemented:
Hybrid cloud infrastructure with Windows Azure
Customer Satisfaction:
Improved
Cloud Solution Benefits:
Scalability, faster deployment, improved customer experience
Note:
Description
Note:
Year
Author:
Edward James Martin, Fredrick Arthur, Harry Jonathan
Keywords:
Text classification; Semantic Web with weighted idf feature; Expanded query; Fuzzy Semantic Web; Fuzzy Ranking Algorithm.
Contextual description:
Research paper focusing on enhancing the ranking algorithm of the Semantic Web by integrating fuzziness and weighted scores in the context of web search and metadata storage.
Authors:
Cathy Dumas, Kasper de Jonge
Contributors:
Marius Dumitru, Akshai Mirchandani, Bob Meyers, Siva Harinath, Bradley Ouellette, Greg Galloway, Howie Dickerman
Technical Reviewers:
Nick Medveditskov, Edward Melomed, Owen Duncan, Dave Wickert, Thomas Ivarsson
Published:
April 2012
Updated:
April 2016
Applies to:
SQL Server 2012, SQL Server 2014, SQL Server 2016, Azure Analysis Services, Power BI
Document type:
Technical article
Topic:
Tabular BI security model, role management, dynamic security
Intended audience:
BI professionals, SQL Server and Power BI users
Content includes:
Examples, implementation guidance, sample data files, row-level security techniques
Year:
2022
Region / City:
N/A
Topic:
Standards, Technical Specifications, International Trade
Document Type:
ISO Committee Draft
Organization / Institution:
ISO
Author:
N/A
Target Audience:
Technical committees, ISO member bodies
Period of Validity:
From 01 October to 01 November 2022
Approval Date:
N/A
Date of Amendments:
N/A
Year:
2023
Region / city:
N/A
Topic:
Medical image processing, deep learning, coronary artery semantic labeling
Document type:
Response letter
Organization / institution:
N/A
Author:
N/A
Target audience:
Journal editors, reviewers, researchers in pattern recognition and graph machine learning
Period of validity:
N/A
Approval date:
N/A
Date of changes:
N/A
Year:
2025 A.M / 1446 H.M
Institution:
University of Maysan, College of Basic Education, Department of English
Authors:
Zainab Ammar Mahmoud, Zahraa Mohammed Rahima
Supervisor:
Asst. Prof. Hayder Tuama Jasim
Degree:
Bachelor of Education
Language:
English
Subject:
Linguistics, Semantics, Comparative Proverbs
Type:
Research Paper / Academic Thesis
Keywords:
Proverbs, linguistic features, comparative analysis, cultural values
Dedication:
Family and spouse
Abstract Summary:
Analysis of structural, semantic, and cultural aspects of English and Arabic proverbs and their translation challenges
Target Audience:
Students, linguists, researchers
Methodology:
Comparative analysis, semantic role study, textual analysis of proverbs
Source Type:
Academic research document
Year:
2026
Region / City:
Not specified
Subject:
Psycholinguistics, Second Language Acquisition, Phonology
Document type:
Research Material / Experimental Stimuli
Institution / Organization:
Not specified
Authors:
Not specified (references to Kutas & Federmeier, 2011; Kutas & Hillyard, 1980)
Target language:
English
Participant language background:
French speakers
Experimental design:
Phonological-semantic congruency and incongruency
Number of items:
240 sentences (120 congruent, 120 incongruent)
Phonemic contrasts:
/r/-/w/, /ɪ/-/i:/, /s/-/θ/
Grammatical classes:
Nouns, Verbs, Adjectives / past participles
Data collection method:
Sentence reading with critical word manipulation
Year:
2024
Region / City:
N/A
Subject:
Dream research, semantic analysis
Document Type:
Research Protocol
Organization / Institution:
DREAMSEMANTICS.ORG
Author:
N/A
Target Audience:
Researchers, professionals in psychology and dream studies
Effective Period:
N/A
Approval Date:
27 December 2024
Date of Changes:
N/A
Document section:
Supplementary tables
Subject:
Validation of a translated Counseling Competencies Scale-Revised
Academic field:
Counseling psychology
Research method:
Expert evaluation and content validity assessment
Instrument evaluated:
Counseling Competencies Scale-Revised (translated version)
Number of experts:
5
Structure of the scale:
Part 1 – Counseling skills and therapeutic conditions; Part 2 – Counseling dispositions and behaviors
Validity indicators:
Item Content Validity Index (I-CVI) and Scale Content Validity Index (S-CVI)
Semantic evaluation indicator:
Semantic equivalence score
Items assessed:
1.A–1.L and 2.A–2.K
Overall scale content validity index:
0.922
Overall semantic equivalence score:
0.913
Year:
2022
Region / City:
United States
Subject:
Quality Assurance, Environmental Modeling
Document Type:
Template
Agency / Organization:
Environmental Protection Agency (EPA)
Author:
EPA
Target Audience:
Project Managers, Quality Assurance Officers, Modelers
Period of Validity:
Not specified
Approval Date:
December 2002
Revision Date:
Not specified
Year:
Not specified
Region / City:
Not specified
Subject:
Education, Curriculum and Instruction
Document Type:
Academic Program
Author:
Not specified
Target Audience:
Students of Ed.D. program
Period of validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Context:
An academic program outline detailing the courses, requirements, and residency activities for students pursuing a Doctorate in Education with a concentration in Curriculum and Instruction.
Year:
2017
Region / city:
Global
Theme:
Systems Engineering, Modeling Language
Document Type:
Requirements Document
Organization / Institution:
Object Management Group (OMG)
Author:
OMG SysML v2 RFP Working Group
Target Audience:
Systems engineers, software developers, tool vendors
Period of validity:
Not specified
Approval Date:
01 Nov 2017
Date of Changes:
Not specified
Note:
Year
Subject:
Low-temperature thermochronology
Document type:
Instructional guide
Author:
Dr. C. Glotzbach
Target Audience:
Researchers and students in geology and thermochronology
Year:
2011
Region / City:
NCEP (National Centers for Environmental Prediction)
Topic:
Global Forecast System (GFS) experiment setup and execution
Document Type:
Technical Guide
Organization / Institution:
NOAA / NCEP
Author:
Not specified
Target Audience:
NCEP internal users, researchers in climate and weather modeling
Validity Period:
Not specified
Approval Date:
June 22, 2011
Date of Changes:
Not specified
Contextual Description:
Technical guide detailing the setup and execution of global model parallel experiments using the Global Forecast System (GFS) for internal NOAA/NCEP users.
Year:
2023
Region / City:
ERCOT
Topic:
Geomagnetically Induced Current (GIC) Modeling
Document Type:
Technical Guidelines
Institution:
ERCOT
Author:
Eric Meier
Target Audience:
Transmission Service Providers (TSPs)
Period of Validity:
Ongoing
Approval Date:
2023
Date of Changes:
None
Year:
2019
Region / City:
United States
Subject:
Geomagnetically Induced Current Modeling
Document Type:
Technical Manual
Organization / Institution:
ERCOT
Author:
Eric Meier
Target Audience:
Transmission Service Providers (TSPs), Modelers
Period of Effect:
2019-ongoing
Approval Date:
02/28/2019
Revision Date:
03/29/2019
Year:
2023
Region / city:
California
Topic:
Air Quality, Energy, Decarbonization
Document Type:
Grant Funding Opportunity
Agency:
California Energy Commission
Author:
Not specified
Target Audience:
Researchers, Energy Organizations, Environmental Groups
Effective Period:
Not specified
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2016
Region / City:
Florida
Topic:
Data modeling
Document Type:
Standard
Organization:
Florida Department of Environmental Protection
Author:
Warren Sponholtz, CIO
Target Audience:
DEP Developers, Database Administrators
Effective Period:
Ongoing
Approval Date:
4/21/2016
Date of Changes:
N/A
Deviation Approval:
Enterprise Application Services, Portfolio Management Services
Scope:
Applies to all database schema development at DEP
Standard:
DEP database schemas must follow Oracle standards and guidelines
Appendices:
Appendix A: Logical Data Modeling Specifications, Appendix B: Attribute Class Words
Deviation from Use:
Any deviation requires approval from DEP authorities
Context:
Document provides detailed guidelines on logical data modeling standards for the Florida Department of Environmental Protection, including entity naming conventions, attribute classifications, and modeling tool requirements.