Alfio Ferrara

Prof. Alfio Ferrara

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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 March 2015 in Journal of Physics G: Nuclear and Particle Physics
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Journal Article
Closed access
SCStefano Carrazza
Stefano Carrazza
AFAlfio Ferrara
Alfio Ferrara
DPDaniele Palazzo
Daniele Palazzo
JRJuan Rojo
Juan Rojo
We present APFEL Web , a Web-based application designed to provide a flexible user-friendly tool for the graphical visualization of parton distribution functions. In this note we describe the technical design of the APFEL Web application, motivating the choices and the framework used for the development of this project. We document the basic usage of APFEL Web and show how it can be used to provide useful input for a variety of collider phenomenological studies. Finally we provide some examples showing the output generated by the application.

1 July 2011 in International Journal on Semantic Web and Information Systems
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Journal Article
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AFAlfio Ferrara
Alfio Ferrara
ANAndriy Nikolov
Andriy Nikolov
FSFrançois Scharffe
François Scharffe
By specifying that published datasets must link to other existing datasets, the 4th linked data principle ensures a Web of data and not just a set of unconnected data islands. The authors propose in this paper the term data linking to name the problem of finding equivalent resources on the Web of linked data. In order to perform data linking, many techniques were developed, finding their roots in statistics, database, natural language processing and graph theory. The authors begin this paper by providing background information and terminological clarifications related to data linking. Then a comprehensive survey over the various techniques available for data linking is provided. These techniques are classified along the three criteria of granularity, type of evidence, and source of the evidence. Finally, the authors survey eleven recent tools performing data linking and we classify them according to the surveyed techniques.

1 January 2006
Verified
Book Chapter
Closed access
PDF file
SCSilvana Castano
Silvana Castano
AFAlfio Ferrara
Alfio Ferrara
SMStefano Montanelli
Stefano Montanelli

12 March 2015 in Scientometrics
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Journal Article
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FBFrancesca De Battisti
Francesca De Battisti
AFAlfio Ferrara
Alfio Ferrara
SSSilvia Salini
Silvia Salini

15 July 2012 in Scientometrics
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Journal Article
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AFAlfio Ferrara
Alfio Ferrara
SSSilvia Salini
Silvia Salini

21 September 2008 in Journal of Logic and Computation
Verified
Journal Article
Closed access
PDF file
SCSilvana Castano
Silvana Castano
IPIrma Sofia Espinosa Peraldi
Irma Sofia Espinosa Peraldi
AFAlfio Ferrara
Alfio Ferrara
VKVangelis Karkaletsis
Vangelis Karkaletsis
AKAtila Kaya
Atila Kaya
MWMichael Wessel
Michael Wessel
The recent success of distributed and dynamic infrastructures for knowledge sharing has raised the need for semiautomatic/automatic ontology evolution strategies. Ontology evolution is generally defined as the timely adaptation of an ontology to changing requirements and the consistent propagation of changes to dependent artifacts. In this article, we present an ontology evolution approach in the context of multimedia interpretation. Ontology evolution in this context relies on the results obtained through reasoning for the interpretation of multimedia resources, through population of the ontology with new individuals or through enrichment of the ontology with new concepts and new semantic relations. The article analyses the results of interpretation, population and enrichment obtained in evaluation experiments in terms of measures such as precision and recall. The evaluation reveals encouraging results.