Semantic Web

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Top : Semantic Web

The Semantic Web, also known as Web 3.0, is an emerging collection of standards, technologies, and practices in which information and services on the Web are indexed by meaning.

Experts (8) - Researches, educators and experts in the domain of Semantic Web.
FAQs, Glossary, and Acronyms (4) - Useful resources for finding answers to Frequently Asked Questions (FAQs) and definitions of Semantic Web and acronyms.
Related Resources (10) - Web Sites related to Semantic Web.
Standards, Policies, and Procedures (7) - Standards, policies, procedures related to the Semantic Web.
Tools (3) - Software tools, spreadsheets and utilities that support Semantic Web.
Subtopics of Special Interest
- Applications (6) - Ontologies developed for specific domains.

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Acronyms, Dictionaries, Glossaries & Other Library Resources

Agile Development

Cleanroom Software Engineering

Client/Server Architectures

Collaborative Software Engineering

Computer Aided Software Engineering (CASE)

Computer Security

Configuration Management

Cost Estimation

CWE/SANS Top 25 Most Dangerous Programming Errors

Data Mining, Data Warehousing and Knowledge Discovery

Distributed Object Technology (DOT)

Earned Value

Education and Training

High Performance Computing (HPC)

Object-Oriented (OO) Technologies

Open Source

Open Technology

Plans, Policies and Standards

Programming Languages

Project Management

Rapid Prototyping and Application Development

Requirements Engineering

Reuse of Software Assets

Software Architecture

Software Best Practices

Software Maintenance

Software Process Improvement (SPI)

Gold Practices Homepage

Acquisition Process Improvement

Architecture-First Approach

Assess Reuse Risks and Costs

Binary Quality Gates at the Inch-Pebble Level

Capture artifacts in rigorous, model-based notation

Commercial Specifications and Standards/Open Systems

Defect Tracking Against Quality Targets

Develop and Maintain a Life-cycle Business Case

Ensure Interoperability

Formal Inspections

Formal Risk Management

Goal-Question-Metric Approach

Integrated Product and Process Development

Manage Requirements

Metrics-based Scheduling

Model Based Testing

Plan for Technology Insertion

Requirements Trade-Off/Negotiation

Statistical Process Control

Track Earned Value

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