Riccardo Torlone
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View article: An LLM-guided platform for multi-granular collection and management of data provenance
An LLM-guided platform for multi-granular collection and management of data provenance Open
As machine learning and AI systems become more prevalent, understanding how their decisions are made is key to maintaining their trust. To solve this problem, it is widely accepted that fundamental support can be provided by the knowledge …
View article: Automated Detection of Tropes In Short Texts
Automated Detection of Tropes In Short Texts Open
International audience
View article: Keyword Search in the Deep Web
Keyword Search in the Deep Web Open
The Deep Web is constituted by data that are accessible through Web pages, but not readily indexable by search engines as they are returned in dynamic pages. In this paper we propose a conceptual framework for answering keyword queries on …
View article: R-Fairness: Assessing Fairness of Ranking in Subjective Data
R-Fairness: Assessing Fairness of Ranking in Subjective Data Open
International audience
View article: An LLM-guided Platform for Multi-Granular Collection and Management of Data Provenance
An LLM-guided Platform for Multi-Granular Collection and Management of Data Provenance Open
As machine learning and AI systems become more prevalent, understanding how their decisions are made is key to maintaining their trust. To solve this problem, it is widely accepted that fundamental support can be provided by the knowledge …
View article: Autonomous Intelligent Systems: From Illusion of Control to Inescapable Delusion
Autonomous Intelligent Systems: From Illusion of Control to Inescapable Delusion Open
Autonomous systems, including generative AI, have been adopted faster than previous digital innovations. Their impact on society might as well be more profound, with a radical restructuring of the economy of knowledge and dramatic conseque…
View article: Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance
Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance Open
Successful data-driven science requires complex data engineering pipelines to clean, transform, and alter data in preparation for machine learning, and robust results can only be achieved when each step in the pipeline can be justified, an…
View article: Editorial: Special Issue on Data Quality and Ethics
Editorial: Special Issue on Data Quality and Ethics Open
This editorial summarizes the content of the Special Issue on Data Quality and Ethics of the Journal of Data and Information Quality (JDIQ). The issue accepted submissions from June 1 to July 30, 2021.
View article: DPDS
DPDS Open
Successful data-driven science requires a complex combination of data engineering pipelines and data modelling techniques. Robust and defensible results can only be achieved when each step in the pipeline that is designed to clean, transfo…
View article: Preference queries over taxonomic domains
Preference queries over taxonomic domains Open
When composing multiple preferences characterizing the most suitable results for a user, several issues may arise. Indeed, preferences can be partially contradictory, suffer from a mismatch with the level of detail of the actual data, and …
View article: A meta-algorithm for finding large k-plexes
A meta-algorithm for finding large k-plexes Open
We focus on the automatic detection of communities in large networks, a challenging problem in many disciplines (such as sociology, biology, and computer science). Humans tend to associate to form families, villages, and nations. Similarly…
View article: Foundations of Context-aware Preference Propagation
Foundations of Context-aware Preference Propagation Open
Preferences are a fundamental ingredient in a variety of fields, ranging from economics to computer science, for deciding the best choices among possible alternatives. Contexts provide another important aspect to be considered in the selec…
View article: Where Porceddu is better than Pasta
Where Porceddu is better than Pasta Open
Preferences and contexts are fundamental aspects for deciding the best choices among possible options. We formalize the problem of propagating preferences from more generic to more specific contexts and study the key properties of propagat…
View article: Ethical Dimensions for Data Quality
Ethical Dimensions for Data Quality Open
Data quality is a typical ethical requirement: we could never trust a piece of information if it did
\nnot have the typical data quality properties. Yet, we can also assert the opposite: that data should
\nconform to a high ethical standar…
View article: Meta-mappings for schema mapping reuse
Meta-mappings for schema mapping reuse Open
The definition of mappings between heterogeneous schemas is a critical activity of any database application. Existing tools provide high level interfaces for the discovery of correspondences between elements of schemas, but schema mappings…
View article: Fast Enumeration of Large k-Plexes
Fast Enumeration of Large k-Plexes Open
K-plexes are a formal yet flexible way of defining communities in networks. They generalize the notion of cliques and are more appropriate in most real cases: while a node of a clique C is connected to all other nodes of C, a node of a k-p…
View article: Web Engineering
Web Engineering Open
This book constitutes the refereed proceedings of the 17th International Conference on Web Engineering, ICWE 2017, held in Rome, Italy, in June 2017. The 20 full research papers and 12 short papers presented together with 6 application pap…
View article: Finding All Maximal Cliques in Very Large Social Networks
Finding All Maximal Cliques in Very Large Social Networks Open
The detection of communities in social networks is a challenging task. A rigorous way to model communities considers maximal cliques, that is, maximal subgraphs in which each pair of nodes is connected by an edge. State-of-the-art strategi…