activity
20112026
most citedSemantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach

117 citations · 255 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI

Giovanni Servedio, Potito Aghilar, Alessio Mattiace +6

Personal Artificial Intelligence is currently hindered by the fragmentation of user data across isolated silos. While Retrieval-Augmented Generation offers a partial remedy, its re…

cs.AI2026

RUVA: Personalized Transparent On-Device Graph Reasoning

Gabriele Conte, Alessio Mattiace, Gianni Carmosino +6

The Personal AI landscape is currently dominated by "Black Box" Retrieval-Augmented Generation. While standard vector databases offer statistical matching, they suffer from a funda…

cs.AI2021

Conversational Recommendation: Theoretical Model and Complexity Analysis

Tommaso Di Noia, Francesco Donini, Dietmar Jannach +2

Recommender systems are software applications that help users find items of interest in situations of information overload in a personalized way, using knowledge about the needs an…

cs.IR2021★ 2 cited

Adherence and Constancy in LIME-RS Explanations for Recommendation

Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia +3

Explainable Recommendation has attracted a lot of attention due to a renewed interest in explainable artificial intelligence. In particular, post-hoc approaches have proved to be t…

cs.IR2021★ 102 cited

Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara +5

Recommender Systems have shown to be an effective way to alleviate the over-choice problem and provide accurate and tailored recommendations. However, the impressive number of prop…

cs.AI2011★ 117 cited

Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach

T. Di Noia, E. Di Sciascio, F. M. Donini

Matchmaking arises when supply and demand meet in an electronic marketplace, or when agents search for a web service to perform some task, or even when recruiting agencies match cu…

cs.AI2011★ 34 cited

Structured Knowledge Representation for Image Retrieval

E. Di Sciascio, F. M. Donini, M. Mongiello

We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of i…