Dennis Dosso

Dennis Dosso
University of Padova | UNIPD · Department of Information Engineering

About

9
Publications
616
Reads
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25
Citations
Introduction
Dennis Dosso currently works at the Department of Information Engineering, University of Padova. Dennis does research in RDF graphs, Keyword Search and Data Citation.

Publications

Publications (9)
Article
Digital data is a basic form of research product for which citation, and the generation of credit or recognition for authors, are still not well understood. The notion of data credit has therefore recently emerged as a new measure, defined and based on data citation groundwork. Data credit is a real value representing the importance of data cited b...
Article
Full-text available
The citation graph is a computational artifact that is widely used to represent the domain of published literature. It represents connections between published works, such as citations and authorship. Among other things, the graph supports the computation of bibliometric measures such as h-indexes and impact factors. There is now an increasing dema...
Article
Since 2005 the Italian Research Conference on Digital Libraries is a yearly date for researchers on Digital Libraries and related topics, organized by the Italian Research Community. Over the years, IRCDL has become an essential national forum focused on digital libraries and associated technical, practical, and social issues. IRCDL encompasses the...
Article
Full-text available
Nanopublications are Resource Description Framework (RDF) graphs encoding scientific facts extracted from the literature and enriched with provenance and attribution information. There are millions of nanopublications currently available on the Web, especially in the life science domain. Nanopublications are thought to facilitate the discovery, exp...
Article
Full-text available
It is widely accepted that data is fundamental for research and should therefore be cited as textual scientific publications. However, issues like data citation, handling and counting the credit generated by such citations, remain open research questions. Data credit is a new measure of value built on top of data citation, which enables us to annot...
Article
Full-text available
Keyword-based access to structured data has been gaining traction both in research and industry as a means to facilitate access to information. In recent years, the research community and big data technology vendors have put much effort into developing new approaches for keyword search over structured data. Accessing these data through structured q...
Conference Paper
Full-text available
RDF datasets are becoming increasingly useful with the development of knowledge-based web applications. SPARQL is the official structured query language to search and access RDF datasets. Despite its effectiveness, the language is often difficult to use for non-experts because of its syntax and the necessity to know the underlying data structure of...
Chapter
In the last years, the Resource Description Framework (RDF) has gained popularity as the de-facto representation format for heterogeneous structured data on the Web. RDF datasets are interrogated via the SPARQL language, which is often not intuitive for a user since it requires the knowledge of the syntax, the underlying structure of the dataset an...
Chapter
We consider the problem of automatically creating citations for digital archives. We focus on the learning to cite framework that allows us to create citations without users or experts in the loop. In this work, we study the possibility of learning a citation model on one archive and then applying the model to another archive that has never been se...

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