Paper Info
Title
SEMANTO: a graphical ontology management system for knowledge discovery.
Abstract
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.
Year
DOI
Venue
2018
10.1007/s12652-017-0518-0
J. Ambient Intelligence and Humanized Computing
Keywords
Field
DocType
Ontology management system, Graph representation, Ontology editing, Ontology integration, Enrichment, Conceptualization, Question answering, Visualization, Knowledge discovery, Ontology, RDF, SPARQL
Ontology (information science),Ontology-based data integration,Data mining,Information retrieval,Process ontology,Computer science,Open Biomedical Ontologies,Upper ontology,RDF Schema,Ontology components,Web Ontology Language
Journal
Volume
Issue
ISSN
9
4
1868-5145
Citations 
PageRank 
References 
2
0.38
21
Authors
2
Name
Order
Citations
PageRank
Daniele Toti110513.86
Andrea Longhi260.79