A Protégé Plug-In for Ontology Extraction from Text Based on Linguistic Analysis

By Paul Buitelaar, Daniel Olejnik, Michael Sintek. ESWS, 2004

295 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/13fb386c26bfbfae0e74180d11f0e33a62b94977

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. Philipp Cimiano
2. Bernardo Magnini
3. Paul Buitelaar
4. Dan Roth
5. Ido Dagan
6. Peter Clark
7. Roberto Navigli
8. Oyvind Tafjord

In Molecular Biology

1. Philipp Cimiano
2. Bernardo Magnini
3. Paul Buitelaar

Citations in the corpus

• Ontology Learning from Text: An Overview (2005, methodology): “Related to this are also approaches that exploit the internal structure of noun phrases to derive taxonomic relations between classes expressed by the head of the noun phrase and its subclasses that can be derived from a combination of the head and its modifiers [ 4 ].”