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Giorgio Gianforme

dblp:08/5586 · DBLP profile ↗
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8ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 6Artificial intelligence and machine learning · 1 · 1 first-authorApplied, 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.

Databases, data mining, and information retrieval
2 papers
Data integration and cleaning · 72% Data models and query languages · 28%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning
schema mapping
0.112008
Model-independent schema translation · VLDB J. 2008
Data integration and cleaning
schema translation
0.112008
Model-independent schema translation · VLDB J. 2008
Data models and query languages › data modeling
heterogeneous data models
0.012007
MIDST: model independent schema and data translation · SIGMOD Conference 2007
YearPublicationVenuePosition
2012 A runtime approach to model-generic translation of schema and data
Paolo Atzeni, Luigi Bellomarini, Francesca Bugiotti, Fabrizio Celli, Giorgio Gianforme
Inf. Syst.5
2011 Semantic Web search based on ontological conjunctive queries
Bettina Fazzinga, Giorgio Gianforme, Georg Gottlob, Thomas Lukasiewicz
J. Web Semant.2
2011 A scalable and extensible framework for query answering over RDF
Roberto De Virgilio, Pierluigi Del Nostro, Giorgio Gianforme, Stefano Paolozzi
World Wide Web3
2009 A runtime approach to model-independent schema and data translation
abstract
A runtime approach to model-generic translation of schema and data is proposed.
Paolo Atzeni, Luigi Bellomarini, Francesca Bugiotti, Giorgio Gianforme
EDBT4
2008 Inheritance and Polymorphism in Datalog: an experience in Model Management
abstract
We discuss the use of a Datalog extension that refers to a data model with inheritance in order to manage the generic dictionary of MIDST, our Model Management proposal for the generation of translation of schemas and databases from a model to another. In comparable scenarios, with structural similarities of predicates of the data model and syntactical and semantical similarities of rules, the use of hierarchies and a sort of polymorphism provide a significant simplification in the definition of complete translations (Datalog programs) and a higher level of reuse in the specification of elementary translations (Datalog rules) thus simplifying the development of such rule based systems.
Paolo Atzeni, Giorgio Gianforme
EJC2
2008 A Novel Approach for Practical Semantic Web Data Management
Giorgio Gianforme, Roberto De Virgilio, Stefano Paolozzi, Pierluigi Del Nostro, Danilo Avola
KES (2)1
2008 Model-independent schema translation
Paolo Atzeni, Paolo Cappellari, Riccardo Torlone, Philip A. Bernstein, Giorgio Gianforme
VLDB J.5
2007 MIDST: model independent schema and data translation
abstract
MIDST is a tool for the translation of schemas and databases from a model to another, in a framework that is flexible and extensible with respect to the family of models. The major novelties with respect to existing proposals consist in the generation of data-level translations and on the customizability of translations (at both schema and data level).
Paolo Atzeni, Paolo Cappellari, Giorgio Gianforme
SIGMOD Conference3