23 topics found for:

“knowledge sharing”

SKOS

Simple Knowledge Organization System (SKOS) is a standard for representing knowledge organization systems such as thesauri, classification schemes, and taxonomies. Essential for enabling interoperability and sharing of structured knowledge across different systems.

Guild

A broader, more informal community of interest that spans across the entire organization, focusing on shared topics such as agile practices or UX design. Valuable for cross-functional learning, knowledge sharing, and promoting a unified approach to common challenges.

Community of Practice

A group of people who share a common interest or profession and engage in collective learning through regular interactions, sharing knowledge, and developing expertise together. Essential for fostering collaboration, continuous learning, and the dissemination of best practices within a specific field or discipline.

Chapter

A group of individuals with similar skills or expertise, spread across different squads, who come together to share knowledge and best practices. Crucial for maintaining technical excellence and fostering professional development within specific disciplines.

Democratization

The process of making tools, methods, and knowledge accessible to a broader range of people within an organization or community, allowing non-specialists to participate and contribute meaningfully. Important for fostering inclusivity, enhancing collaboration, and leveraging diverse perspectives to improve outcomes across various disciplines.

KOS

Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains. Essential for improving information findability, enhancing semantic interoperability, and supporting effective knowledge management in digital environments.

Ontology

A structured framework for organizing information, defining the relationships between concepts within a specific domain to enable better understanding, sharing, and reuse of knowledge. Important for creating clear and consistent data models, improving communication, and enhancing the efficiency of information retrieval and management.

CBR

Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems. This approach is essential for developing intelligent systems that learn from past experiences to improve problem-solving capabilities.