Phonetic string matching: lessons from information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Approximate String Joins in a Database (Almost) for Free
Proceedings of the 27th International Conference on Very Large Data Bases
LexEQUAL: Supporting Multilexical Queries in SQL
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
LexEQUAL: multilexical matching operator in SQL
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
On the cost of multilingualism in database systems
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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In today's global village, it is critical that the key information tools, such as web search engines, e-Commerce portals and e-Governance, work across multiple natural languages, seamlessly We propose a new flexible architecture – Multilingual Information processing on Relational Architecture (MIRA) – that supports the multilingual processing functionality of the primary storage mechanism for such deployments – the relational database systems, effectively and efficiently We propose new linguistic matching operators that enhances the standard lexicographic matching of database systems into phonetic and semantic domains We further show that the performance of the systems may be made language-neutral Our proposed architecture is based on standards and hence amenable for easy implementation in any type of query processing and information retrieval systems In this paper, we present our approach to implement the above architecture and outline the host of research issues that are opened up due to the inherently fuzzy nature of the alternative matching semantics.