A visual ontology management system for handling, integrating and enriching semantic repositories

Daniele Toti, Andrea Longhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a prototype system for managing ontological data from RDF semantic repositories, via an intuitive, graph-based visual interface. The core of the system provides basic editing functionalities for the managed ontologies, while at the same time allowing for more advanced operations to be plugged-in and applied on them, including the execution of ontology integration algorithms or the enrichment of the ontological knowledge bases via conceptualization mechanisms. The system is able to handle and visualize any ontology accessible from a SPARQL endpoint, and as such could be used to visualize portions of Linked Open Data repositories as well. The prototype has been applied on a case study revolving around a learning application for lawyers within the context of a larger software framework.
Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2015
Pages450-453
Number of pages4
DOIs
Publication statusPublished - 2015
Event7th International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2015 - Tamkang University, twn
Duration: 2 Sep 20154 Sep 2015

Conference

Conference7th International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2015
CityTamkang University, twn
Period2/9/154/9/15

Keywords

  • RDF
  • SPARQL
  • conceptualization
  • enrichment
  • graph representation
  • ontology
  • ontology editing
  • ontology integration
  • ontology management system
  • visualization

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