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Enabling Ad Hoc Queries over Low-Level Scientific Data Sets

Summary: Enabling Ad Hoc Queries over Low-Level
Scientific Data Sets
David Chiu Gagan Agrawal
Department of Computer Science and Engineering
The Ohio State University, Columbus, OH 43210, USA
Abstract. Technological success has ushered in massive amounts of
data for scientific analysis. To enable effective utilization of these data
sets for all classes of users, supporting intuitive data access and manipu-
lation interfaces is crucial. This paper describes an autonomous scientific
workflow system that enables high-level, natural language based, queries
over low-level data sets. Our technique involves a combination of nat-
ural language processing, metadata indexing, and a semantically-aware
workflow composition engine which dynamically constructs workflows for
answering queries based on service and data availability. A specific con-
tribution of this work is a metadata registration scheme that allows for
a unified index of heterogeneous metadata formats and service anno-
tations. Our approach thus avoids a standardized format for storing all
data sets or the implementation of a federated, mediator-based, querying
framework. We have evaluated our system using a case study from the


Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University


Collections: Computer Technologies and Information Sciences