SEMANTO: a graphical ontology management system for knowledge discovery

Daniele Toti*, Andrea Longhi

*Corresponding author

Research output: Contribution to journalArticle

3 Citations (Scopus)


This work describes a visual system for managing ontologies in the RDF formalism, providing a number of features for creating, updating and deleting elements and instances via a user-friendly graphical interface, along with a set of advanced operators that can be applied upon them. These operators implement mechanisms for ontology instance matching and integration, ontology enrichment with semantically-related concepts, as well as question answering in natural language, with the purpose of discovering knowledge from the underlying ontologies. SEMANTO may display and manage RDF ontologies via SPARQL endpoints, including user-defined ontologies and subsets of Linked Open Data. SEMANTO has been experimented upon against ontological schema and instances derived from a knowledge model for learning management systems and from a learning application for online dispute resolution.
Original languageEnglish
Pages (from-to)1075-1084
Number of pages10
JournalJournal of Ambient Intelligence and Humanized Computing
Publication statusPublished - 2018


  • Conceptualization
  • Enrichment
  • Graph representation
  • Knowledge discovery
  • Ontology
  • Ontology editing
  • Ontology integration
  • Ontology management system
  • Question answering
  • RDF
  • Visualization


Dive into the research topics of 'SEMANTO: a graphical ontology management system for knowledge discovery'. Together they form a unique fingerprint.

Cite this