The multidimensional, heterogeneous, and temporal nature of speech databases raises interesting challenges for representation and query. Recently, annotation graphs have been proposed as a general-purpose representational framework for speech databases. Typical queries on annotation graphs require path expressions similar to those used in semistructured query languages. However, the underlying model is rather different from the customary graph models for semistructured data: the graph is acyclic and unrooted, and both temporal and inclusion relationships are important. We develop a query language and describe optimization techniques for an underlying relational representation.
|Title of host publication||2nd International Conference on Language Resources and Evaluation, LREC 2000|
|Publication status||Published - 1 Jan 2000|
|Event||2nd International Conference on Language Resources and Evaluation, LREC 2000 - Athens, Greece|
Duration: 31 May 2000 → 2 Jun 2000
|Conference||2nd International Conference on Language Resources and Evaluation, LREC 2000|
|Period||31/05/00 → 2/06/00|