Case-Based Reasoning in the Cloud
Clood is a cloud-based Case-Based Reasoning (CBR) framework based on a microservices architecture which facilitates the design and deployment of case-based reasoning applications of various sizes.
Featured Service that We Provide
Case-Based Reasoning
The first ever cloud-based CBR framework for building industry-scale CBR applications
Microservice Architecture
Built with micro-services architecture Independent of cloud platform (AWS, Azure, GCP)
Easy To Use
Very simple and intuitive. 100% Open source & Docker deployable within a few minutes
Scalability and Flexibility: Microservices for Enhanced Performance
Clood CBR is a distributed and highly scalable Case-based Reasoning system that addresses the limitations of monolithic architectures in various sectors. By adopting a microservices architecture, Clood CBR enables seamless scalability and adaptability to new technologies, frameworks, and languages. Read about the technology below!
Why you should choose CloodCBR
Highly Scalable
CloodCBR can effortlessly handle increased workload and adapt to growing demands, ensuring efficient performance even under heavy usage or large casebases.
Flexible and Extendable
CloodCBR is designed to easily accommodate changes, additions, and enhancements, allowing for seamless integration of new features or functionalities as required.
Advanced Similarity Metrics
CloodCBR utilizes sophisticated algorithms to evaluate similarities between cases, enabling precise matching and retrieval.
API Based Integration
CloodCBR provides well-defined APIs, facilitating smooth integration with other systems or applications, allowing for efficient data exchange and seamless communication.
Easy to Maintain
CloodCBR is structured to simplify maintenance tasks, making it easier to manage and update components, reducing the time and effort required for upkeep.
Cost Effective
CloodCBR offers an economical solution, minimizing expenses associated with development, deployment, and maintenance while maximizing value and efficiency.
CBR steps
Create and Configure a Project
Create a project within the CloodCBR and configure the attributes of the project to reflect the structure of the casebase. The desired similarity metric can also be selected at this stage.
Add Cases
Seamlessly and efficiently import a large number of cases into the project's casebase.
Retrieval Query
Submit a retrieval query to the CBR system, which will return the most similar cases from the casebase.
Reuse, Revise, and Retain Cases
Reuse similar cases to solve the problem, or revise and retain an existing case for future use.
Customers who trust us
Customers who have succesfully implemented Clood CBR in their business processes.
Nudge Exchange
Legal-Pythia
Targe
Eco Energio
Want to ask something about us ?
Where did the name Clood come from?
It is the word Cloud said in a Scottish dialect :)
What is the Clood GitHub repository?
The Clood GitHub can be found at https://github.com/rgu-computing/clood
What similarity metrics are supported?
A full list of currently supported similarity metrics can be found at https://github.com/rgu-computing/clood#available-similarity-metrics
How can I begin using Clood?
A detailed deployment guide can be found at https://github.com/rgu-computing/clood#deployment-guide
Where can I find publications on Clood from ICCBR?
The previously accepted Clood publications can be found at https://rgu-repository.worktribe.com/output/895530/clood-cbr-towards-microservices-oriented-case-based-reasoning and https://rgu-repository.worktribe.com/output/1706158/adapting-semantic-similarity-methods-for-case-based-reasoning-in-the-cloud