On ontology based abduction for text interpretation

Authors:
Irma Sofia Espinosa Peraldi;Atila Kaya;Sylvia Melzer;Ralf Möller
Affiliations:
Hamburg University of Technology, Institute for Software Systems, Hamburg, Germany;Hamburg University of Technology, Institute for Software Systems, Hamburg, Germany;Hamburg University of Technology, Institute for Software Systems, Hamburg, Germany;Hamburg University of Technology, Institute for Software Systems, Hamburg, Germany
Venue:
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Year:
2008

Citing 4
Cited 1

Interpretation as abduction

Artificial Intelligence - Special volume on natural language processing
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach
The description logic handbook: theory, implementation, and applications

The description logic handbook: theory, implementation, and applications
Towards a Media Interpretation Framework for the Semantic Web

WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence

Bootstrapping ontology evolution with multimedia information extraction

Knowledge-driven multimedia information extraction and ontology evolution

Quantified Score

Hi-index	0.00

Visualization

Abstract

Text interpretation can be considered as the process of extracting deep-level semantics from unstructured text documents. Deeplevel semantics represent abstract index structures that enhance the precision and recall of information retrieval tasks. In this work we discuss the use of ontologies as valuable assets to support the extraction of deep-level semantics in the context of a generic architecture for text interpretation.