Abstract
We present current work on the automated acquisition of
multilingual terms for labels of ontologies in the financial domain. The
main approach consists in harvesting multilingual web pages of stock
exchanges, and to extract the relevant data encoded in HTML feature
structures from them. Out of these feature structures, we extract and
align the multilingual vocabulary that can be used either in labels of
classes or properties defined in ontologies, or as part of the value of properties.
We also discuss the use of standardized terminological frameworks
for improving and validating the results of the automated extraction of
multilingual term candidates.
multilingual terms for labels of ontologies in the financial domain. The
main approach consists in harvesting multilingual web pages of stock
exchanges, and to extract the relevant data encoded in HTML feature
structures from them. Out of these feature structures, we extract and
align the multilingual vocabulary that can be used either in labels of
classes or properties defined in ontologies, or as part of the value of properties.
We also discuss the use of standardized terminological frameworks
for improving and validating the results of the automated extraction of
multilingual term candidates.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 10th Terminology and Knowledge Engineering Conference. Terminology and Knowledge Engineering Conference (TKE-2012), New frontiers in the constructive symbiosis of terminology and knowledge engineering |
| Editors | Tatiana Gornostay |
| Place of Publication | Madrid |
| Pages | 166 - 175 |
| Publication status | Published - 1 Nov 2012 |
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 102001 Artificial intelligence
- 602049 Terminology science