activity
20192022
most citedPoisoning Knowledge Graph Embeddings via Relation Inference Patterns

16 citations · 23 across the 9 of their papers we have counts for

collaborators

10 papers

cs.DB2022

Link Climate: An Interoperable Knowledge Graph Platform for Climate Data

Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan +1

Climate science has become more ambitious in recent years as global awareness about the environment has grown. To better understand climate, historical climate (e.g. archived meteo…

cs.AI2022

A semantic web approach to uplift decentralized household energy data

Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif +2

In a decentralized household energy system comprised of various devices such as home appliances, electric vehicles, and solar panels, end-users are able to dig deeper into the syst…

cs.LG2021★ 16 cited

Poisoning Knowledge Graph Embeddings via Relation Inference Patterns

Peru Bhardwaj, John Kelleher, Luca Costabello +1

We study the problem of generating data poisoning attacks against Knowledge Graph Embedding (KGE) models for the task of link prediction in knowledge graphs. To poison KGE models,…

cs.LG2021

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods

Peru Bhardwaj, John Kelleher, Luca Costabello +1

Despite the widespread use of Knowledge Graph Embeddings (KGE), little is known about the security vulnerabilities that might disrupt their intended behaviour. We study data poison…

cs.DB2021

Automated Climate Analyses Using Knowledge Graph

Jiantao Wu, Huan Chen, Fabrizio Orlandi +3

The FAIR (Findable, Accessible, Interoperable, Reusable) data principles are fundamental for climate researchers and all stakeholders in the current digital ecosystem. In this pape…

cs.DB2021

An Interoperable Open Data Portal for Climate Analysis

Jiantao Wu, Huan Chen, Fabrizio Orlandi +3

This work proposes an open interoperable data portal that offers access to a Web-wide climate domain knowledge graph created for Ireland and England's NOAA climate daily data. Ther…

cs.DB2021

Ontology Modeling for Decentralized Household Energy Systems

Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif +2

In a decentralized household energy system consisting of various devices such as washing machines, heat pumps, and solar panels, understanding the electric energy consumption and p…

cs.DB2021★ 1 cited

An Ontology Model for Climatic Data Analysis

Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan +1

Recently ontologies have been exploited in a wide range of research areas for data modeling and data management. They greatly assists in defining the semantic model of the underlyi…

cs.DB2019★ 6 cited

Using Mapping Languages for Building Legal Knowledge Graphs from XML Files

Ademar Crotti Junior, Fabrizio Orlandi, Declan O'Sullivan +2

This paper presents our experience on building RDF knowledge graphs for an industrial use case in the legal domain. The information contained in legal information systems are often…

cs.DB2019

Interlinking Heterogeneous Data for Smart Energy Systems

Fabrizio Orlandi, Alan Meehan, Murhaf Hossari +3

Smart energy systems in general, and solar energy analysis in particular, have recently gained increasing interest. This is mainly due to stronger focus on smart energy saving solu…