Maurizio Atzori

chapter

Track Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track

Maurizio Atzori, Nicoletta Dessi, Barbara Pes

2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) > 155 - 157

2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

The goal of the Data Exploration in the Web 3.0 Age (DEW 2017) conference track has been bringing together researchers and practitioners from both the Academia and Industry working in the areas related to data exploration, in a very broad sense. The track welcomes contributions from data mining, query languages, data visualization, graph databases and other fields related to the analysis and exploitation...

chapter

Is Wikipedia a Latent Gene Ontology?

Nicoletta Dessi, Maurizio Atzori

2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) > 164 - 169

2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

Despite the significant contribution from specialized ontologies and text mining methods, the evaluation of the semantic similarity of genes remains difficult because of the complex functions in which genes are involved. A less exploited resource is Wikipedia that stores more than 10400 articles about human genes: each gene name identifies the corresponding Wikipedia page resuming gene's properties...

chapter

k-Anonymous Patterns

Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi

Lecture Notes in Computer Science > Knowledge Discovery in Databases: PKDD 2005 > Long Papers > 10-21

It is generally believed that data mining results do not violate the anonymity of the individuals recorded in the source database. In fact, data mining models and patterns, in order to ensure a required statistical significance, represent a large number of individuals and thus conceal individual identities: this is the case of the minimum support threshold in association rule mining. In this paper...

chapter

Abduction in Classification Tasks

Maurizio Atzori, Paolo Mancarella, Franco Turini

Lecture Notes in Computer Science > AI*IA 2003: Advances in Artificial Intelligence > Machine Learning > 213-224

The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction like C4.5 1, produce as output a set of rules in order to classify new given examples. Most of these rule-based classifiers make the assumption that at classification time we can know all about new given examples. Probabilistic...

chapter

Memory-Aware Frequent k-Itemset Mining

Maurizio Atzori, Paolo Mancarella, Franco Turini

Lecture Notes in Computer Science > Knowledge Discovery in Inductive Databases > Contributed Papers > 38-54

In this paper we show that the well known problem of computing frequent k-itemsets (i.e. itemsets of cardinality k) in a given dataset can be reduced to the problem of finding iceberg queries from a stream of queries suitably constructed from the original dataset. Hence, algorithms for computing frequent k-itemsets can be obtained by adapting algorithms for computing iceberg queries. In the paper...

chapter

Dataspaces: Where Structure and Schema Meet

Maurizio Atzori, Nicoletta Dessì

Studies in Computational Intelligence > Learning Structure and Schemas from Documents > 97-119

In this chapter we investigate the crucial problem that poses the bases to the concept of dataspaces: the need for human interaction/intervention in the process of organizing (getting the structure of) unstructured data. We survey the existing techniques behind dataspaces to overcome that need, exploring the structure of a dataspace along three dimensions: dataspace profiling, querying and searching...

chapter

Weak k-Anonymity: A Low-Distortion Model for Protecting Privacy

Maurizio Atzori

Lecture Notes in Computer Science > Information Security > Privacy and Anonymity > 60-71

Sharing microdata tables is a primary concern in today information society. Privacy issues can be an obstacle to the free flow of such information. In recent years, disclosure control techniques have been developed to modify microdata tables in order to be anonymous. The k-anonymity framework has been widely adopted as a standard technique to remove links between public available identifiers (such...

chapter

Diagnosis of Anorectal Disease

Pasquale Ialongo, Loredana Adami, Maurizio Atzori, Cesare Hassan, more

Updates in Surgery > Crohn’s Disease > 91-97

One-third of patients affected by chronic inflammatory bowel diseases (IBDs) also suffer from fistulas of different sizes and types. The majority of fistulous tracts are identified in the anal rectal area, with chronic inflammation, and in the surrounding perivisceral adipose tissues [1]. Diagnostic imaging aims to identify and depict the complex fistulous tracts that can appear at the top of the...

chapter

Imaging

Loredana Adami, Maurizio Atzori, Paola Cerro, Andrea Cortese, more

Updates in Surgery > Crohn’s Disease > 71-89

Imaging modalities play an important role in the diagnosis and management of patients with Crohn’s disease (CD). Imaging is used for diagnostic purposes as well as in the evaluation of the nature, gravity, and extraintestinal complications of the disease. It also provides information on the degree of inflammation and useful feedback after clinical or surgical therapy. To this end, endoscopy and conventional...

chapter

Malformazioni del rene e delle vie urinarie

Giovanni Regine, Maurizio Atzori, Francesco M. Danza

Imaging dell’Apparato Urogenitale > Malformazioni e displasie dell’apparato urogenitale > 13-24

Riassunto Come ben noto, il tratto urogenitale è spesso interessato da anomalie congenite (tra lo 0,2 e il 2%di tutti i nati vivi), caratterizzate da diversi gradi di gravità, secondarie ad alterazioni che possono svilupparsi in ognuno dei diversi stadi evolutivi del processo embriogenetico dell ’apparato urinario [1]. Di conseguenza esiste un ’ampia varietà di quadri,che appare opportuno classificare...

chapter

SPARQL Queries over Source Code

Mattia Setzu, Maurizio Atzori

2016 IEEE Tenth International Conference on Semantic Computing (ICSC) > 104 - 106

2016 IEEE Tenth International Conference on Semantic Computing (ICSC)

We introduce a framework to extract and parse Java source code, serialize it into RDF triples by applying an appropriate ontology and then analyze the resulting structured code information by using standard SPARQL queries. We present our experiments on a sample of 134 Java repositories collected from Github, obtaining 17 Million triples about methods, input and output types, comments, and other source...

chapter

Write-Once Run-Anywhere Custom SPARQL Functions

Daniele Stefano Ferru, Maurizio Atzori

2016 IEEE Tenth International Conference on Semantic Computing (ICSC) > 176 - 178

2016 IEEE Tenth International Conference on Semantic Computing (ICSC)

We show a framework to write SPARQL custom functions that can run on different SPARQL engines. Our current implementation supports some of the major opensource engines, namely Apache Jena/Fuseki, OpenLink Virtuoso and Sesame. In our experiments we show the performance in terms of running time and the ease of building custom functions by using our write-once run-anywhere framework.

article

A machine-learning approach to ranking RDF properties

Andrea Dessi, Maurizio Atzori

Future Generation Computer Systems > 2016 > 54 > C > 366-377

In this paper we address the problem of providing an order of relevance, or ranking, among entities’ properties used in RDF datasets, Linked Data and SPARQL endpoints. We first motivate the importance of ranking RDF properties by providing two killer applications for the problem, namely property tagging and entity visualization. Moved by the desiderata of these applications, we propose to apply Machine...

chapter

Expressivity and Accuracy of By-Example Structured Queries on Wikipedia

Maurizio Atzori, Carlo Zaniolo

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises > 239 - 244

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

This paper discusses expressivity and accuracy of the By-Example Structured (BESt) Query paradigm implemented on the SWiPE system through the Wikipedia interface. We define an experimental setting based on the natural language questions made available by the QALD-4 challenge, in which we compare SWiPE against Xser, a state-of-the-art Question Answering system, and plain keyword search provided by...

chapter

Ranking DBpedia Properties

Maurizio Atzori, Andrea Dessi

2014 IEEE 23rd International WETICE Conference > 441 - 446

2014 IEEE 23rd International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprise (WETICE)

In many Semantic Web applications, having RDF predicates sorted by significance is of primarily importance to improve usability and performance. In this paper we focus on predicates available on DBpedia, the most important Semantic Web source of data counting 470 million english triples. Although there is plenty of work in literature dealing with ranking entities or RDF query results, none of them...

chapter

Computing On-the-Fly DBpedia Property Ranking

Andrea Dessi, Maurizio Atzori

2014 IEEE International Conference on Semantic Computing > 260 - 261

2014 IEEE International Conference on Semantic Computing (ICSC)

In many Semantic Web applications, having RDF predicates sorted by significance is of primarily importance to improve usability and performance. In this paper we focus on predicates available on DBpedia, the most important Semantic Web source of data counting 470 million english triples. Although there is plenty of work in literature dealing with ranking entities or RDF query results, none of them...

chapter

Computing Recursive SPARQL Queries

Maurizio Atzori

2014 IEEE International Conference on Semantic Computing > 258 - 259

2014 IEEE International Conference on Semantic Computing (ICSC)

We present a simple approach to handle recursive SPARQL queries, that is, nested queries that may contain references to the query itself. This powerful feature is obtained by implementing a custom SPARQL function that takes a SPARQL query as a parameter and executes it over a specified endpoint. The behaviour is similar to the SPARQL 1.1 SERVICE clause, with a few fundamental differences: (1) the...

article

Anonymity preserving pattern discovery

Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi

The VLDB Journal > 2008 > 17 > 4 > 703-727

It is generally believed that data mining results do not violate the anonymity of the individuals recorded in the source database. In fact, data mining models and patterns, in order to ensure a required statistical significance, represent a large number of individuals and thus conceal individual identities: this is the case of the minimum support threshold in frequent pattern mining. In this paper...

chapter

Hiding Sensitive Trajectory Patterns

Osman Abul, Maurizio Atzori, Francesco Bonchi, Fosca Giannotti

Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007) > 693 - 698

2007 7th IEEE International Conference on Data Mining Workshops

Spatio-temporal traces left behind by moving individuals are increasingly available. On the one hand, mining this kind of data is expected to produce interesting behavioral knowledge enabling novel classes of mobility applications; but on the other hand, due to the peculiar nature of position data, mining it creates important privacy concerns. Thus, studying privacy preserving data mining methods...

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Search results for: Maurizio Atzori

Track Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track

Is Wikipedia a Latent Gene Ontology?

k-Anonymous Patterns

Abduction in Classification Tasks

Memory-Aware Frequent k-Itemset Mining

Dataspaces: Where Structure and Schema Meet

Weak k-Anonymity: A Low-Distortion Model for Protecting Privacy

Diagnosis of Anorectal Disease

Imaging

Malformazioni del rene e delle vie urinarie

SPARQL Queries over Source Code

Write-Once Run-Anywhere Custom SPARQL Functions

A machine-learning approach to ranking RDF properties

Expressivity and Accuracy of By-Example Structured Queries on Wikipedia

Ranking DBpedia Properties

Computing On-the-Fly DBpedia Property Ranking

Computing Recursive SPARQL Queries

Anonymity preserving pattern discovery

Hiding Sensitive Trajectory Patterns

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