Knowledge and Service Engineering
Description of Knowledge and Service Engineering
We are specialists in the representation and management of knowledge, at the same time that we implement information systems, or data integration systems, regardless of their domain.
Semantic modeling of data: ontologies, conceptual models, detection of business rules and metamodelling.
Automated reasoning: inference of new data from existing data, generation of valid test data.
Integration: data or systems integration.
Requirements engineering: detection of user needs both in terms of data and processes.
Service engineering and business process management: design and development of solutions for service and process management.
Web Technologies: design and development of web-based applications.
Success Stories of Knowledge and Service Engineering
The objective of this project is to analyze the circulation time between the different significant points of the network.
Electronic voting platform with Blockchain technology.
Open-source library for computing model substitutes based on partial differential equations.
Research and development of a pilot disruptive traffic model, which takes advantage of the possibilities of the latest advances in computing, communications and data sources.
The objective is to have a tool that is capable of representing the map of knowledge of the UPC and to be able to show areas of confluence of disciplines and emerging areas.
This project studies the feasibility of using QR codes in the food sector to provide end customers with more information and content about the products they buy.
