Advertisement
Published in:
2011 | OriginalPaper | Chapter
Pythia: Compositional Meaning Construction for Ontology-Based Question Answering on the Semantic Web
Authors : Christina Unger, Philipp Cimiano
Published in: Natural Language Processing and Information Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this paper we present the ontology-based question answering system Pythia. It compositionally constructs meaning representations using a vocabulary aligned to the vocabulary of a given ontology. In doing so it relies on a deep linguistic analysis, which allows to construct formal queries even for complex natural language questions (e.g. involving quantification and superlatives).