Multimedia Knowledge and Social Media Analytics Laboratory

PROPheT Ontology Populator

Description

PROPheT is a novel application that enables instance extraction and ontology population from Linked Data, using a user-friendly graphical user interface (GUI). In PROPheT, concepts, i.e. realisations of entities, and relations populated in online Linked Data sources (such as DBpedia) can be located, filtered and inserted into a user’s own domain ontology. 
 
PROPheT offers three types of instance extraction-related functionalities (instance-based populating, class-based populating and instance enrichment) along with user-driven mapping of data properties. It is flexible enough to work with any domain ontology (written in OWL) and any RDF Linked Data set that is available via a SPARQL endpoint. 
 
 

Features

PROPheT offers the following key features:
  • Three modes of instance extraction-related functionalities (instance-based populating, class-based populating and instance enrichment).
  • User-driven mapping of data properties.
  • Importing a domain ontology (over HTTP and locally).
  • Exporting the populated ontology in the most popular formats (.owl, .rdf, .ttl, .nt and .n3.).
  • Flexibility to seamlessly work with any domain ontology (written in OWL) and any RDF Linked Data set available via a SPARQL endpoint.
  • Elimination of redundancy in the instance set by handling duplicates.
  • User-friendly GUI with enriched display of content and information, as well as useful function utilities for the user. 
 

Relevant Publications

  • Mitzias, P., Riga, M., Kontopoulos, E., Stavropoulos, T. G., Andreadis, S., Meditskos, G., & Kompatsiaris, I. (2016, September). User-Driven Ontology Population from Linked Data Sources. In International Conference on Knowledge Engineering and the Semantic Web (pp. 31-41). Springer International Publishing.
 

Downloads

  • Download the tool here
  • Official PROPheT documentation here