Text2Onto

By Philipp Cimiano, Johanna Völker. 2005

640 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Constantinos S. Pattichis
2. Douglas B. Kell
3. Chris Biemann
4. Andreas Holzinger
5. Nick Bassiliades
6. Efstratios Kontopoulos
7. Dunja Mladenic
8. Christos Berberidis

Citations in the corpus

• What do we need to build explainable AI systems for the medical domain? (2017, background): “Ontology learning generally (Maedche and Staab, 2001), and ontology learning from text specifically is a hot topic (Cimiano and V¨olker, 2005).”
• Joint learning of ontology and semantic parser from text (2016, positive): “Traditional methods for ontology learning [10,41] are only concerned with discovering the salient concepts from text.”
• Ontology-based sentiment analysis of twitter posts (2013, methodology): “An alternative to the manual FCA methodology presented above is offered by the various existing semi-automatic ontology learning 4 Twitter4J Java library: http://twitter4j.org/en/index.jsp techniques (e.g. Cimiano & Völker, 2005; Hazman, El-Beltagy, & Rafea, 2009).”