# A Graph DB-Based Solution for Semantic Technologies in the Future Internet
## 4 Connection between the LPG and SW
### SPARQL Mapping
Its main features are

* **Collaborative Knowledge Creation and Updating**: This focuses on making the process of creating, modifying, and updating knowledge more collaborative. It enables users to actively participate in the development and refinement of the information within the digital library. This collaborative aspect is an important addition compared to ARCA. * **Rapid Information Visualization**: This is designed for the rapid visualization of information directly related to the selected resource (see Figure 5). It excels at providing quick and intuitive access to relevant data, making it easier for users to extract insights from the digital catalog. * **Geospatial and Semantic Visualization**: This offers features such as mapping locations, enriching character profiles with semantic information, and presenting bookswith closely connected relationships. These visualizations enhance the understanding of the data and enable users to explore the content from different angles. The key functionalities of SKATEBOARD are listed below. * **Combined Interaction Paradigms**[56]: This combines various interaction paradigms, including the node-link, tabular, and map-based interfaces. This versatility allows users to choose the visualization style that best suits their needs, providing a more immersive exploration experience. * **Information Reduction Strategies**: This employs information reduction strategies based on the proximity ranking of relationships. This helps users to focus on the most relevant information, reducing information overload and improving the clarity of presented data. * **Integration with Multiple SPARQL Endpoints**: This seamlessly integrates multiple SPARQL endpoints, enabling access to dynamic Knowledge Graphs from various sources. This capability enhances the scope and depth of the available information. * **Collaborative Annotation and Validation**: This supports the collaborative annotation and validation of information present in the SPARQL endpoint. This feature promotes data quality and accuracy through user contributions and validations. The main purposes of SKATEBOARD are

* **Adaptation to Diverse Domains**: It aims to be adaptable to a wide range of domains, making it a versatile tool for exploring and understanding different types of digital content. * **User-Friendly Interface**: It strives to provide an interface that is user-friendly, even for individuals who may not be experts in the specific domain of the digital library. One of SKATEBOARD's main visualization features is to offer node-link-based visualization while also providing different views based on the selected entity type. Tools like Tabulator, Tabulator Redux, and S-Paths also offer various views depending on the entity type ([[https://linkeddata-89b9d.web.app/](https://linkeddata-89b9d.web.app/)]([https://linkeddata-89b9d.web.app/](https://linkeddata-89b9d.web.app/)), accessed on 12 October 2023) [56], but SKATEBOARD distinguishes itself by allowing users to access custom views for different entity types without excluding the central node-link view. Node-link diagrams have been employed to represent Linked Data for many years. They exhibit certain notable limitations, including poor scalability. The integration with GraphBrain enables SKATEBOARD to visualize specific segments of the LPG. These segments encompass the information pertaining to the selected node and its immediate connections, as defined by a specific parameter (the node and its context). This integration serves

Figure 5: SKATEBOARD Interface. as one solution to address the scalability issue associated with conventional node-link diagrams. Furthermore, this integration offers several advantages, including

1. Incremental Visualization: SKATEBOARD's capability to visualize only the pertinent portion of the LPG incrementally. It focuses on the selected node and its immediate context, reducing visual clutter and enhancing the user's ability to navigate data effectively. 2.