Search Results for author:
Found 9 papers, 6 papers with code
Incremental Bootstrapping and Classification of Structured Scenes in a Fuzzy Ontology
On the contrary, the fuzzy implementation of SIT leads to less intelligible knowledge representations than the one bootstrapped in the crisp domain.
Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget Experiences
We present a symbolic learning framework inspired by cognitive-like memory functionalities (i. e., storing, retrieving, consolidating and forgetting) to generate task representations to support high-level task planning and knowledge bootstrapping.
OWLOOP: Interfaces for Mapping OWL Axioms into OOP Hierarchies
The issues of mapping OWL axioms hierarchies and OOP objects hierarchies are due to OWL-based reasoning algorithms, which might change an OWL hierarchy at runtime; instead, OOP hierarchies are usually defined as static structures.
OWLOOP: A Modular API to Describe OWL Axioms in OOP Objects Hierarchies
OWLOOP is an Application Programming Interface (API) for using the Ontology Web Language (OWL) by the means of Object-Oriented Programming (OOP).
Human Activity Recognition Models in Ontology Networks
Arianna+ schedules procedures on the basis of events by employing logic-based reasoning, i. e., by checking the classification of certain statements in the ontologies.
Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies
For a system to perform human activity recognition in a real-world environment, multiple requirements exist, such as scalability, robustness, ability to deal with uncertainty (e. g., missing sensor data), to operate with multi-occupants and to take into account their privacy and security.
Towards a new paradigm for assistive technology at home: research challenges, design issues and performance assessment
Providing elderly and people with special needs, including those suffering from physical disabilities and chronic diseases, with the possibility of retaining their independence at best is one of the most important challenges our society is expected to face.
Scene learning, recognition and similarity detection in a fuzzy ontology via human examples
This paper introduces a Fuzzy Logic framework for scene learning, recognition and similarity detection, where scenes are taught via human examples.
A ROS multi-ontology references services: OWL reasoners and application prototyping issues
This paper introduces a ROS Multi Ontology References (ARMOR) service, a general-purpose and scalable interface between robot architectures and OWL reasoners.
