activity
20172024
most citedHuman Activity Recognition Models in Ontology Networks

13 citations · 27 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2024

Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget Experiences

Luca Buoncompagni, Fulvio Mastrogiovanni

We present a symbolic learning framework inspired by cognitive-like memory functionalities (i.e., storing, retrieving, consolidating and forgetting) to generate task representation…

cs.AI2024

OWLOOP: Interfaces for Mapping OWL Axioms into OOP Hierarchies

Luca Buoncompagni, Fulvio Mastrogiovanni

The paper tackles the issue of mapping logic axioms formalised in the Ontology Web Language (OWL) within the Object-Oriented Programming (OOP) paradigm. The issues of mapping OWL a…

cs.AI2024

Incremental Bootstrapping and Classification of Structured Scenes in a Fuzzy Ontology

Luca Buoncompagni, Fulvio Mastrogiovanni

We foresee robots that bootstrap knowledge representations and use them for classifying relevant situations and making decisions based on future observations. Particularly for assi…

cs.AI2021★ 4 cited

OWLOOP: A Modular API to Describe OWL Axioms in OOP Objects Hierarchies

Luca Buoncompagni, Syed Yusha Kareem, Fulvio Mastrogiovanni

OWLOOP is an Application Programming Interface (API) for using the Ontology Web Language (OWL) by the means of Object-Oriented Programming (OOP). It is common to design software ar…

cs.AI2021★ 13 cited

Human Activity Recognition Models in Ontology Networks

Luca Buoncompagni, Syed Yusha Kareem, Fulvio Mastrogiovanni

We present Arianna+, a framework to design networks of ontologies for representing knowledge enabling smart homes to perform human activity recognition online. In the network, node…

cs.AI2018★ 1 cited

Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies

Syed Yusha Kareem, Luca Buoncompagni, Fulvio Mastrogiovanni

Aging population ratios are rising significantly. Meanwhile, smart home based health monitoring services are evolving rapidly to become a viable alternative to traditional healthca…

cs.AI2017

Towards a new paradigm for assistive technology at home: research challenges, design issues and performance assessment

Luca Buoncompagni, Barbara Bruno, Antonella Giuni +2

Providing elderly and people with special needs, including those suffering from physical disabilities and chronic diseases, with the possibility of retaining their independence at…

cs.AI2017★ 4 cited

Scene learning, recognition and similarity detection in a fuzzy ontology via human examples

Luca Buoncompagni, Fulvio Mastrogiovanni, Alessandro Saffiotti

This paper introduces a Fuzzy Logic framework for scene learning, recognition and similarity detection, where scenes are taught via human examples. The framework allows a robot to:…

cs.CY2017★ 2 cited

Arianna: towards a new paradigm for assistive technology at home

Luca Buoncompagni, Barbara Bruno, Antonella Giuni +2

Providing elderly and people with special needs to retain their independence as long as possible is one of the biggest challenges of the society of tomorrow. Teseo, a startup compa…

cs.RO2017★ 3 cited

A ROS multi-ontology references services: OWL reasoners and application prototyping issues

Luca Buoncompagni, Alessio Capitanelli, Fulvio Mastrogiovanni

This paper introduces a ROS Multi Ontology References (ARMOR) service, a general-purpose and scalable interface between robot architectures and OWL reasoners. ARMOR addresses synch…