EOSC-hub Week 2020 Demo bi Enterprise Content Management by
Grzegorz Niemiec, Magdalena Makowska, Małgorzata Filipek, Mateusz Romaniuk, Piotr Piórkowski

This demonstration shows first early results of one the EOSC DIH Business Pilot: BI Insight - Business Intelligence, Artificial Intelligence and Big Data technologies.

biECM is a system enabling users to access the knowledge contained in files: presentations text documents, sheets and others. The system utilizes Natural Language Processing and Machine Learning algorithms in creating recommendations, document classification, information retrieval (both from text and images embedded in documents), as well as building summaries, taking into account all language-specific variations.

The growing resources of all kinds of electronic documents in every organization especially in large organizations, government institutions and administration, lead to the search for effective methods of working with such documents, their quick search, classification and full use of the information contained therein. To meet the challenge of improving work in the area of sharing knowledge collected in the organization, we designed and implemented a solution using mechanisms of artificial intelligence and natural language processing.

A user-friendly search engine using artificial intelligence mechanisms allows you to accelerate the process of obtaining information and optimize work in the organization, increasing personal productivity and efficiency of information circulation processes. The use of these features in scientific and academic environments can significantly contribute to accelerating the development of science, innovation, and discovery.
The demo will show how the system works from the user's side. Thanks to remote access, the system can be used from anywhere and from any device. After logging in, you can use unlimited resources of knowledge accumulated in the form of unstructured documents, stored in local resources and in private and public clouds. The application allows us to add new documents that are automatically supplemented with metadata, keywords and an abstract - thus significantly reducing the time needed to mark the document. The demo will also show how users can quickly and precisely search for information in the internal repository and available public registers. All documents are processed in a fully automated manner.

Thanks to cooperation with EOSC DIH and DEEP HybridDatacloud offering cloud infrastructure and ML/DL services and integration support, we can launch a biECM demonstration version in the cloud: a test version for users who would like to know the functionality of the system.

See the demo page here: [ Ссылка ]

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