The entire IntelComp Integrated Solution encompasses the 6 tools developed in the project: STI Dataspace, Interactive Model Trainer, STI Viewer, STI Policy Participation Portal, Evaluation Workbench, and Graph Explorer. Professional services can be offered concerning the integrated solution or a set of tools: customization, integration, deployment, maintenance, support services, etc.
The IntelComp Catalogue offers a single store of data collections to be exploited by the IntelComp tools. It allows the processing of a variety of documents, unifying them and enriching the information to obtain improved and more complete results.
The STI Viewer is a comprehensive Artificial Intelligence-assisted tool, specifically designed for policy makers and public administrations, offering a unique understanding of the current science, technology and innovation landscape and its evolution over time. This tool provides both basic and advanced visualizations, analyzing structured and unstructured data, to help in observing emerging topics, detecting key players, and understanding the distribution of funding.
The STI Policy Participation Portal is a tool designed to facilitate the integration of diverse stakeholder input into science, technology and innovation policy-making processes. It offers a user-friendly interface where comprehensive surveys, enriched with data visualizations from the STI Viewer, can be conducted. This promotes active participation from various groups engaged in science, technology and innovation policy.
The Interactive Model Trainer is a tool designed for experts in a scientific or technological domain and data scientists. This interactive tool provides the capability to train, edit, and curate topic models, as well as to generate sub-corpora and evaluate models in a user-friendly manner.
The Evaluation Workbench is an application to assist officials at funding agencies in the evaluation of proposals for funding in programs supporting science, technology and innovation activities. Streamlining and standardizing the evaluation process, it not only enhances efficiency but also ensures a user-friendly experience, even for non-experts. This tool offers a variety of features such as document topic analysis, similarity search, and automatic classification.
The Graph Explorer is an interactive artificial intelligence-assisted tool based on knowledge graphs to understand the current science, technology and innovation landscape and its evolution, explore thematic communities, and learn about the thematic distribution and the evolution of public funding.
Automatic translation using deep neural networks. The final product has resulted in general and domain (artificial intelligence and cancer) specific neural machine translation systems that cover the main languages of the project: English, French, German, Spanish, Greek and Swedish.
Toolbox consisting of different artificial intelligence components for gathering intelligence in science, technology and innovation policy: time analysis and trend detection Service, Field of Science (FOS) classifier – SciNoBo, Sustainable Development Goal (SDG) Classifier, dynamic topic modelling and climate change domain toolbox.
Toolboxes for different artificial intelligence purposes: domain classifier, topic modelling, graph analysis toolbox and impact analysis service.
Toolbox consisting of different artificial intelligence components: natural language processing pipelines in high performance computing, zero-shot classifier and taxonomy classifier toolbox.
OpenAIRE Graph is an open access scholarly knowledge graph that aggregates a collection of research data properties (metadata, links). It is a service of the OpenAIRE Open Science infrastructure for funders, organizations, researchers, research communities and publishers that interlinks information by using a semantic graph database approach. OpenAIRE, as a public alternative to Scopus/Elsevier or Web of Science/Clarivate, helps to consolidate and enhance the quality of the IntelComp STI Dataspace.