Demo Data from EDBT 2026 / reviewers in the wild / expert
Alessandro Agostini
dblp:91/1045
· DBLP profile ↗
7ranked-venue papers
5as first author
1since 2021 · last 2021
0000-0002-8877-315XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 4 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 2 · 2 first-author · 1 since 2021Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
automated reasoning |
0.0 | 1 | 1997 | Modularity in Computer Assisted Reasoning Systems · IJCAI 1997 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
modularity |
0.0 | 1 | 1997 | Modularity in Computer Assisted Reasoning Systems · IJCAI 1997 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | UZWORDNET: A Lexical-Semantic Database for the Uzbek LanguageabstractThe results reported in this paper aim to increase the presence of the Uzbek language in the Internet and its usability within IT applications.We describe the initial development of a "word-net" for the Uzbek language compatible to Princeton Word-Net.We called it UZWORDNET.In the current version, UZWORDNET contains 28140 synsets, 64389 sense and 20683 words; its estimated accuracy is 75.98%.To the best of our knowledge, it is the largest wordnet for Uzbek existing to date, and the second wordnet developed overall. *The acronym "LDKR" means Language, Data, Knowledge, and Reasoning.The LDKR Group aims to discovering (learning), modeling, reducing and computing the "semantic gap" between users and the Universe of Language(s), Data, Information and Knowledge their ICT systems are based on. 1 For instance, see https://medium.com/@robert.munro/bias- in-ai-3ea569f79d6a (accessed Alessandro Agostini, Timur Usmanov, Ulugbek Khamdamov, Nilufar Abdurakhmonova, Mukhammadsaid Mamasaidov |
GWC | 1 |
| 2008 | Using Web Content Management Systems for Accessibility: The Experience of a Research Institute Portal
Laura Burzagli, Francesco Gabbanini, Marco Natalini, Enrico Palchetti, Alessandro Agostini |
ICCHP | 5 |
| 2006 | Coordination Through Inductive Meaning Negotiation
Alessandro Agostini |
ECAI | 1 |
| 2004 | On the Discovery of the Semantic Context of Queries by Game-Playing
Alessandro Agostini, Paolo Avesani |
FQAS | 1 |
| 2003 | A Peer-to-Peer Advertising Game
Paolo Avesani, Alessandro Agostini |
ICSOC | 2 |
| 2000 | Team-Solvability: A Model-Theoretic Perspective
Alessandro Agostini |
ECAI | 1 |
| 1997 | Modularity in Computer Assisted Reasoning Systems
Alessandro Agostini |
IJCAI | 1 |