Translingual vocabulary mappings for multilingual information access
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Building a Chinese-English wordnet for translingual applications
ACM Transactions on Asian Language Information Processing (TALIP)
Some Performance Results on Recursive Query Processing in Relational Database Systems
Proceedings of the Second International Conference on Data Engineering
On the Computation of the Transitive Closure of Relational Operators
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
On the cost of multilingualism in database systems
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
| Hi-index | 0.00 |
In an increasingly multilingual world, it is critical that information management tools organically support the simultaneous use of multiple natural languages. A pre-requisite for efficiently achieving this goal is that the underlying database engines must provide seamless matching of text data across languages. We propose here SemEQUAL, a new SQL functionality for semantic matching of multilingual attribute data. Our current implementation defines matches based on the standard WordNet linguistic ontologies. A performance evaluation of SemEQUAL, implemented using standard SQL:1999 features on a suite of commercial database systems indicates unacceptably slow response times. However, by tuning the schema and index choices to match typical linguistic features, we show that the performance can be improved to a level commensurate with online user interaction.