Paper Info
Title
SemEQUAL: multilingual semantic matching in relational systems
Abstract
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.
Year
DOI
Venue
2005
10.1007/11408079_20
DASFAA
Keywords
Field
DocType
relational system,typical linguistic feature,standard sql,multilingual attribute data,text data,standard wordnet linguistic ontology,new sql functionality,performance evaluation,multilingual world,multilingual semantic,commercial database system,semantic matching,information management,indexation,database system,natural language
Information system,Ontology (information science),SQL,Information management,Computer science,Natural language,Natural language processing,Artificial intelligence,WordNet,Semantics,Database,Semantic matching
Conference
Volume
ISSN
ISBN
3453
0302-9743
3-540-25334-3
Citations 
PageRank 
References 
4
0.76
8
Authors
2
Name
Order
Citations
PageRank
A. Kumaran140.76
Jayant R. Haritsa22004228.38