The objectives of the LinDA project are:
- Objective 1: Enhance the ability of data providers, especially public organisations to provide re-usable, machine-processable linked data.
- Objective 2: Provide out-of-the-box software components and analytic tools for SMEs that offer the opportunity to combine and link existing public sector information with privatelyowned data in the most resourceful and cost-effective manner.
- Objective 3: Deliver an ecosystem of Linked Data Publication and Consumption applications that can be bound together in dynamic and unforeseen ways.
- Objective 4: Demonstrate the feasibility and impact of the LinDA approach in the European SMEs Sector, over a set of pilot applications.
- Objective 5: Achieve international recognition and spread excellence for the research undertaken during the LinDA implementation towards enterprises, scientific communities,data providers and end-users. Diffuse and communicate readily-exploitable project results, of a pro-normative nature. Contribute to standardisation and education.
Goal of LinDA Project
LinDA aims at assisting SMEs and data providers in renovating public sector information, analysing and interlinking with enterprise data by developing a linked data workbench encompassing:
- A cross-platform, extensible software framework that provides a rule-based system for renovating and converting a wide range of supported data containers, structures and formats into arbitrary RDF graphs. The framework can be used to develop custom solutions for SMEs and public sector organisations or be integrated into existing open data applications, in order to support the automated conversion of data into linked data. The platform will allow the export of arbitrary RDF graphs as tabular data, allowing SMEs to store the final results of data linking into relational databases or process further with spreadsheet and data analysis software. In this context, an end-user application will be developed in order to provide a visual environment for declaring mapping rules.
- A repository for accessing and sharing Linked-Data vocabularies and metadata amongst SMEs data marts that can be linked to the LOD (Linked Open Data) cloud. The system will allow SMEs to reference and use metadata shared by multiple SMEs and data providers across different data endpoints, thus allowing automatic interlinking of datasets.
- A library of end-user Analytics and data mining apps library, based on existing Javabased components (Weka and Java ML) extended to point to RDF as source format, specifically targeted to leverage the potential of Linked Data sources, especially in terms of pattern and link analysis.
- End-to-end business scenarios and models for Linked-Data utilisation on analytics by SMEs