Resources
Our Resources
Access our comprehensive collection of documentation, ontologies, knowledge maps, and tools for collective intelligence
Access Our Resources
Explore our comprehensive collection of resources designed to support collective intelligence and social change. From detailed documentation to interactive tools, find everything you need to accelerate your impact.
Documentation: Comprehensive Guides and References
Our documentation provides comprehensive guides, tutorials, and reference materials for understanding and using our collective intelligence platform. Whether you're a newcomer or an experienced practitioner, our documentation helps you navigate the complexities of semantic technology and knowledge graphs.
- Getting started guides for new users
- Technical documentation for developers and researchers
- API references and integration guides
- Best practices for knowledge graph development
- Case studies and real-world applications
Our documentation is continuously updated to reflect the latest developments in semantic technology and collective intelligence. We provide both beginner-friendly introductions and advanced technical details to support users at all levels.
The documentation includes interactive examples, code snippets, and step-by-step tutorials that help you understand how to leverage our platform for your specific needs. Whether you're building knowledge graphs, querying semantic data, or integrating with our APIs, our documentation provides the guidance you need.
Ontology: Structured Knowledge Framework
Our ontology provides a structured framework for organizing and understanding the relationships between different concepts in the social change domain. Built using semantic web standards, our ontology enables consistent representation and meaningful connections across diverse knowledge sources.
- Comprehensive concept definitions and relationships
- Standards-compliant RDF/OWL implementation
- Domain-specific ontologies for different social issues
- Extensible framework for new concepts and relationships
- Integration with existing knowledge bases and datasets
The ontology serves as the foundation for our knowledge graph, enabling sophisticated queries and insights that go beyond simple keyword matching. By providing a shared vocabulary and conceptual framework, our ontology facilitates collaboration and knowledge sharing across different domains and disciplines.
We maintain and evolve our ontology based on community feedback and emerging needs. The ontology is designed to be both comprehensive and flexible, allowing for the addition of new concepts and relationships as the field of collective intelligence continues to develop.
Knowledge Map: Visual Exploration Interface
Our interactive knowledge map provides a visual interface for exploring the connections and relationships within our collective intelligence network. Built on Kumu, this tool allows users to navigate complex information landscapes and discover hidden patterns and opportunities.
- Interactive visualization of knowledge networks
- Dynamic filtering and search capabilities
- Customizable views for different user needs
- Export and sharing functionality
- Real-time updates and collaboration features
The knowledge map transforms complex data into intuitive visual representations, making it easier to understand relationships between initiatives, organizations, and concepts. Users can zoom in on specific areas of interest or zoom out to see the broader context and connections.
Whether you're a researcher looking for patterns in social change initiatives, a practitioner seeking collaborators, or a funder exploring investment opportunities, the knowledge map provides the visual tools you need to navigate and understand the collective intelligence landscape.
Search: Intelligent Discovery Engine
Our semantic search engine goes beyond traditional keyword matching to provide intelligent discovery of relevant resources, initiatives, and connections. Using advanced natural language processing and knowledge graph technology, our search understands context and meaning to deliver more relevant results.
- Semantic search with context understanding
- Multi-source data integration and search
- Personalized recommendations based on user interests
- Advanced filtering and sorting options
- Export and bookmark functionality
The search engine integrates data from multiple sources, including our knowledge graph, external databases, and user-contributed content. This comprehensive approach ensures that users can discover relevant information regardless of where it's stored or how it's described.
Our search technology understands the relationships between concepts, allowing users to find related information even when exact keywords don't match. This semantic approach helps users discover connections and opportunities that traditional search engines might miss.
Ask: Interactive Knowledge Discovery
Our interactive "Ask" feature allows users to pose natural language questions and receive intelligent responses based on our knowledge graph. This conversational interface makes complex information accessible and helps users discover insights they might not have thought to search for.
- Natural language question processing
- Context-aware response generation
- Follow-up question capabilities
- Source attribution and transparency
- Learning from user interactions
The Ask feature combines the power of our knowledge graph with natural language processing to provide intuitive access to complex information. Users can ask questions in plain English and receive responses that draw from our comprehensive knowledge base.
This interactive approach helps users explore topics they might not have considered, discover new connections, and gain insights that traditional search interfaces might not reveal. The conversational nature of the interface makes it particularly useful for exploratory learning and discovery.