Semantic Application Server

The content management engine enables structured, semantically organised information to be created, published, and administered, making it easy for any user to contribute to the enrichment of the corporate graph without requiring specialist technical knowledge.

GNOSS natively generates data represented semantically in OWL/RDF through its Semantic Content Management System (Semantic CMS). The semantic engine processes any ontology written in OWL and automatically generates intuitive semantic forms that allow users to publish structured knowledge, with knowledge stored through entities and attributes in RDF format that consolidate into a queryable Knowledge Graph.

This auto-generated forms approach facilitates the development and construction of the semantic web in a completely transparent way, with no specialist technical knowledge required.

The dynamic construction of web experiences from the knowledge graph enables the creation of personalised interfaces that automatically adapt to the user's context and the evolution of content.

• Dynamic pages from the graph: Content pages are generated dynamically from the knowledge objects defined during the ontological engineering process. Each entity in the graph is automatically transformed into a content-rich web page, with contextualised information and semantic links that facilitate navigation and discovery.
• Presentation layer personalisation: The GNOSS development framework, built on the Model-View-Controller (MVC) paradigm, allows custom views to be developed in terms of both their semantic expressiveness and their graphic design and user experience. The platform includes base templates that facilitate the rapid development of interfaces tailored to specific needs, with responsive HTML that automatically adapts to desktops, tablets, and mobile devices, ensuring consistent experiences regardless of the access device. The system enables UI/UX personalisation through designs that adjust to user behaviour and interests, delivering content and functionality relevant to each profile. Customisable templates allow specific views to be defined for each knowledge object, enabling optimised presentations according to content type and usage context.

The enterprise features enable complex content to be managed with sophisticated workflows, supporting multichannel operations and distributed governance scenarios.

• Multi-site management and dynamic publishing: The same content can be published and/or shared simultaneously across multiple sites, allowing your project to evolve into a scalable multi-site space with centralised, integrated content management. This architecture supports multiple websites from a single graph, adapting each web space to the specific needs of distinct audiences. Centralised management provides unified control of content distributed across different portals from a single administration point. The system guarantees semantic coherence by maintaining knowledge integrity across all publishing channels, ensuring informational consistency regardless of the access point.
• Multilingual capabilities: Comprehensive management of multiple languages with straightforward, intuitive navigation, maintaining consistency in knowledge representation regardless of the selected language. The system implements unique multilingual entities with unambiguous identification independent of the access language, facilitating navigation between language versions without loss of context. Localised URLs and content provide full adaptation to specific markets, including cultural formats, local conventions, and region-specific SEO optimisation. Optimised search engines exploit multilingual graphs whilst maintaining semantic precision across all supported languages.

Natively integrated search engine optimisation leverages structured knowledge to maximise visibility and relevance in search engines.

Websites generated with GNOSS incorporate best practices from leading search engines, including friendly URLs that clearly express the content of each page, optimised HTML with correct heading structure and semantic elements, integrated microdata for native Schema.org and RDFa compatibility, and 5-Star Open Data through publication of data following open data standards.

The access control mechanisms enable sophisticated information protection policies to be implemented, from public content through to highly sensitive data with multilevel restrictions.

The system provides content access control through authorisation of specific users, data-level protection with specific protocols for sensitive information, OAuth protocol for secure authorisation of access to private content, and full auditing with detailed logging of access and modifications for regulatory compliance and traceability.

Semantic search

• Intelligent search engine: GNOSS Semantic Application Server features a search engine built on Semantic Web standards, leveraging the expressiveness of this data to build powerful, flexible, and evolving search systems that deliver results based on enriched, organised, and contextualised resources. The system incorporates user intent understanding, interpreting the true meaning of queries beyond their literal words. Enriched results provide contextualised information with related data that broadens and deepens the response. The engine structures learning pathways that turn results into genuine itineraries for the progressive discovery of knowledge.
• Organisational metasearch engine: Semantic technologies provide a metasearch engine, or unified access point, to all of the organisation's knowledge assets. This system facilitates the integration of collaborative work through unified access to contributions from across the organisation, regardless of their location or original format. It provides a framework for inventiveness and creativity that fosters an environment conducive to effective knowledge creation, encouraging innovation through unexpected connections. It enables the discovery of hidden knowledge by revealing non-obvious connections between scattered data. It accelerates organisational learning by significantly improving accessibility to accumulated knowledge.
• Faceted search interfaces: GNOSS allows as many search engines to be defined as needed, each of which can be configured to display the facets available for filtering results. Facets serve as a formative and learning tool, enabling searches to be refined in a way that mirrors human reasoning. Intelligent filters are based on specific properties of the results, facilitating precise segmentation of the search space. Exploratory navigation allows progressive refinement that follows the user's natural line of thought, encouraging serendipitous discovery. The system keeps control with the user, ensuring that people retain responsibility and autonomy throughout the search process.

Recommendation systems transform the knowledge graph into a proactive assistant that anticipates needs and suggests relevant content without explicit user intervention.

• Semantic context system: When systems understand content and digital resources, they can link data together to generate meaningful contexts. GNOSS includes a Semantic Context Generation System that exploits semantic graphs to dynamically create enriched contexts. Automatic enrichment generates contexts with data from the graph itself or from external sources through integration with compatible sources. Meaningful relationships establish relevant connections that add substantive value to the main content, rather than mere mechanical associations. Standards compatibility facilitates integration with external graphs conforming to semantic standards, expanding context beyond organisational boundaries.
• NER recommendation systems: Recommendation systems based on Named Entity Recognition (NER) are grounded in the recording and representation of the user's intentional behaviour in relation to the set of entities managed in the Knowledge Graph. Personalised recommendations are based on user behaviour and preferences, continuously learning from interactions to improve accuracy. Semantic understanding through entity and relationship analysis delivers superior precision compared to systems based solely on keywords or aggregated behaviour. Business adaptation generates systems specific to each organisation's needs, configurable according to organisational objectives and user profiles.

Analysis tools transform complex data into comprehensible representations that facilitate decision-making and pattern discovery.

• Semantic analytics & visual data browsing: Data exploration through graphical and interactive interfaces that make analysis more intuitive and accessible for non-technical users. Multi-perspective navigation provides maps, charts, timelines, and graph views that reveal different dimensions of information according to the analysis context. Trend identification detects non-obvious patterns that fail to surface in conventional analysis but emerge when visualising knowledge relationships and evolution. Understanding connections through the visualisation of relationships between information elements facilitates reasoning about complex systems.

The ability to export information in multiple formats ensures interoperability with external analysis tools and facilitates integration into existing workflows.

Any GNOSS search engine can be configured to export results, allowing Excel or CSV files to be generated from the displayed information for offline analysis and integration with other analytical tools.

The search APIs provide complete programmatic access to the graph's query capabilities, facilitating integration with external systems and the development of custom interfaces.

API for search pages with data retrieval in standard RDF format, facilitating integration with external systems and the programmatic consumption of semantically structured results.

Pre-built plugins accelerate integration with popular content management platforms and enable semantic capabilities to be incorporated into existing technology ecosystems.

• Search plugins: Integration of semantic search into WordPress, Drupal, and SharePoint, extending these platforms with knowledge-based discovery capabilities.
• Recommender plugins: Incorporation of recommendation assistants into external systems, leveraging the knowledge graph for contextual suggestions.
• REST integration: Straightforward incorporation of GNOSS functions into existing platforms through standard RESTful APIs that minimise integration friction.

GNOSS Semantic Application Server generates a linked network ecosystem that constitutes a socio-digital framework driving creativity and inventiveness through collaboration, learning, and the collective creation of value.

• Connected communities: Every GNOSS platform can be configured as a set of connected communities where content is shared between them and users participate in multiple spaces, generating a rich, well-organised ecosystem free of duplication.
• Structured social interaction: Social interactions are semantically enriched, allowing conversations and ratings to be linked directly to entities in the graph. Collaborative creation facilitates semantically enriched content produced collectively, maintaining structural coherence and making it easy to attribute contributions. Comments and ratings provide interaction on resources with configurable functionality ranging from simple ratings through to complex debates. Structured debates organise conversations on specific topics with moderation, tracking, and thematic evolution analysis capabilities.

Granular access control systems enable differentiated experiences to be configured according to roles, organisational memberships, and individual permissions.

• Granular control: The system provides detailed permissions management at content, functionality, and section level. The privileges system establishes specific access by section according to defined permissions, with configurable inheritance and delegation. Dynamic roles allow the definition of specific roles with associated permissions that can be assigned and revoked dynamically as needs change. User groups facilitate the collective assignment of permissions by functionality, simplifying administration in complex organisations. The user search tool provides centralised management of permissions, roles, and administrative measures through intuitive interfaces.
• Profiles and authentication: The system manages complete user identities within the ecosystem. Customisable profiles provide public information, activity, and following options that each user controls. External authentication facilitates integration with corporate identity systems through standard protocols such as SAML or OAuth. Single Sign-On provides unified access with existing platforms, eliminating the need to manage separate credentials and improving the user experience.

Notification and communication mechanisms keep users informed about relevant activities, encouraging engagement and continued participation.

• Intelligent notifications: A comprehensive alerts system that keeps users informed about relevant events according to their interests and personal settings. The activity feed provides automatic community updates, offering visibility into recent contributions and events. Topic subscriptions enable notifications by areas of interest, facilitating selective monitoring of specific topics without information overload. Personalised newsletters generate daily or weekly summaries according to individual preferences, keeping users up to date without overwhelming them.
• Cross-cutting utilities: Communication tools that facilitate interaction between users within the ecosystem. The messaging system provides direct communication between ecosystem users with the ability to attach resources and graph references. The personal space offers private resources and personal contributions that each user manages individually, maintaining privacy where needed. Contribution management facilitates the tracking of inputs to collective knowledge with impact metrics and recognition that encourage active participation.