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ODINet - Online Data Integration Network - An innovative ontology-based data search engine

Conference Paper
Publication Date:
2015
abstract:
Along with the expansion of Open Data and according to the latest EU directives for open access, the attention of public administration, research bodies and business is on web publishing of data in open format. However, a specialized search engine on the datasets, with similar role to that of Google for web pages, is not yet widespread. This article presents the Online Data Integration Network (ODINet) project, which aims to define a new technological framework for access to and online dissemination of structured and heterogeneous data through innovative methods of cataloging, searching and display of data on the web. In this article, we focus on the semantic component of our platform, emphasizing how we built and used ontologies. We further describe the Social Network Analysis (SNA) techniques we exploited to analyze it and to retrieve the required information. The testing phase of the project, that is still in progress, has already demonstrated the validity of the ODINet approach.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Data search engine; domain ontology; semantic web; social network analysis.
List of contributors:
Molinaro, Sabrina; Franchini, Michela; Pieroni, Stefania
Authors of the University:
FRANCHINI MICHELA
MOLINARO SABRINA
PIERONI STEFANIA
Handle:
https://iris.cnr.it/handle/20.500.14243/296030
Book title:
eKNOW 2015 : The Seventh International Conference on Information, Process, and Knowledge Management
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