Knowledge and Service Engineering
Description of Knowledge and Service Engineering
We are specialists in knowledge representation and management, while implementing information systems, or data integration systems, regardless of their domain.
Semantic data modeling: ontologies, conceptual models, business rule detection and metamodeling.
Automated reasoning: inference of new data from existing data, generation of valid test data.
Integration: integration of data or systems.
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.
Knowledge and Service Engineering Success Stories
inLab FIB develops the TurnItOn tool, a tool that facilitates remote working by means of a system for remotely switching computer equipment on and off.
MyBits per BitsxLaMarató is a project focused on the development and improvement of MyBits, the application that supports the management and organisation of the BitsxLaMarató hackathon.
Development of AI-based solutions to improve the management and automation of Cloud Hosting services, in collaboration with Ilimit.
We are digitising the UPC’s reusable cup system. A solution that streamlines cup management and enables the measurement of environmental impact, helping to drive more sustainable consumption.
inLab FIB and Oracle collaborate on the implementation of SQL Assertions to automate the validation of database integrity constraints.
Cardinality estimation in relational databases is a well-studied problem, but graph databases rarely follow the uniformity and independence assumptions that these estimators make, and therefore lose precision.