Towards a query language for annotation graphs

Steven Bird, Peter Buneman, Wang-Chiew Tan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationProceedings of the Second International Conference on Language Resources and Evaluation
Number of pages8
Publication statusPublished - 2000


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