BI4ALL implemented a small reasoner in Databricks to compute transitive closure, property inheritance, and shared associations detection for ontology reasoning in disease and drug discovery applications.
Published
Signal category
Technology & Infrastructure
Quote
“We implemented a small reasoner that: 1) computes transitive closure: If A is_a B and B is_a C, then A is_a C; 2) computes property inheritance: if A is_a B and B has a property C then A also has property C and 3) shared associations detection: A and B share a common link if they have the same type of connection to the same entity.”
— Orlando Anunciação|BI4ALL team
Company
BI4ALL
Turning Data into Insights
- Industry
- Information Technology & Services
- Location
- Lisboa, PT
- Company size
- 343 employees
Since 2004, we have been transforming data into actionable insight and helping organisations become more agile, resilient and future‑ready by anticipating the unpredictable and responding quickly to change. In 2025, we took a decisive step in our journey by joining the Plexus Tech group, combining over 20 years of expertise in Data Strategy, Analytics and Artificial Intelligence with the scale and technological breadth of one of the leading Iberian technology groups. This integration strengthens our ability to deliver innovative, high‑impact solutions to clients around the world. Recognised as “MOST INSIGHTFUL DATA CONSULTANCY FIRM 2023”, BI4ALL by Plexus is a reference in Data Analytics, Big Data, Artificial Intelligence and Software Engineering, supporting organisations throughout their Digital Transformation and Data Strategy journey. Fully focused on our clients’ success, we unite deep technological knowledge with strong business understanding to turn data into meaningful insights that drive growth, efficiency and competitive advantage. With more than two decades of experience, numerous national and international awards and a solid track record of complex projects, we continue to evolve within the Plexus Tech ecosystem, expanding our capabilities and reach while staying true to our purpose: unlocking the full potential of data to build smarter, stronger and more inspiring futures.
Founded 2004