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A Metadata Action LanguageThe data management problem comprises data processing and data tracking. Data processing is the creation of new data based on existing data sources. Data tracking consists of storing metadata descriptions of available data. This paper addresses the data management problem by casting it as an AI planning problem. Actions are data-processing commands, plans are dataflow programs and goals are metadata descriptions of desired data products. Data manipulation is simply plan generation and execution, and a key component of data tracking is inferring the effects of an observed plan. We introduce a new action language for data management domains, called ADILM. We discuss the connection between data processing and information integration and show how a language for the latter must be modified to support the former. The paper also discusses information gathering within a data-processing framework, and show how ADILM metadata expressions are a generalization of Local Completeness.
Document ID
20020011641
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Golden, Keith (NASA Ames Research Center Moffett Field, CA United States)
Clancy, Dan
Date Acquired
September 7, 2013
Publication Date
May 3, 2001
Subject Category
Documentation And Information Science
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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