Text-To-Onto System

A Text-To-Onto System is an Ontology Design System.

• Context:
  • It can reverse engineer concept patterns from Text.
  • It has been superceeded Ontoware's Text2Onto Project.
• See: Ontology.

---

---

References

2004

• "Supports semi-automatic creation of ontologies by applying text mining algorithms. Currently includes term extraction algorithm, concept association extraction algorithm and ontology pruning algorithm. … The rules extraction algorithm extracts potential taxonomic and non-taxonomic relationships between existing ontology concepts. This is done through two distinct algorithms. The association rules extraction algorithm takes the proximity of two terms in the text to denote the correlation between concepts between these terms. The linguistic patterns algorithm analyses the text for common patterns that signal relationships between concepts (e.g. the pattern ‘term like term’ may be taken to denote the hierarchy, as in ‘Countries like <st1:place w:st="on"> <st1:country-region w:st="on">Mexico</st1:country-region> as beautiful.’).
  • http://kaon.semanticweb.org/Members/rvo/Module.2002-08-22.4934
• Version 1.0 of the software was published in November 9, 2004 and downloadeable from
  • http://sourceforge.net/projects/texttoonto</a>

2001

• (Maedche and Staab, 2001) ⇒ Alexander Maedche, Steffen Staab. (2001). “Ontology Learning for the Semantic Web." IEEE Intelligent Systems.
• http://sourceforge.net/projects/texttoonto
  • The aim of TextToOnto is to support developers in the ontology construction process by applying text mining techniques. For this purpose it builds on KAON (http://kaon.semanticweb.org)
  • Last Update: Nov 09 2004
  • texttoonto 1.0

---