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Agent-Based Distributed Analytical Search

  • Subrata DasEmail author
  • Ria Ascano
  • Matthew Macarty
Conference paper
  • 905 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9086)

Abstract

We describe here an agent-based Distributed Analytical Search (DAS) tool to search and query distributed “big data” sources regardless of data’s location, content or format. DAS semantically analyzes natural language queries from a web-based user interface. It automatically translates the query to a set of sub-queries by deploying a combination of planning and traditional database query optimization techniques. It then generates a query plan represented in XML and guide the execution by spawning intelligent agents with various types of wrappers as needed for distributed sites. The answers returned by the agents are merged appropriately and return them to the user. We have demonstrated DAS using a variety of data sources that are distributed and heterogeneous. The tool is the prime product of our company with big enterprises as our target market.

Keywords

Mobile Agent Plan Agent Query Execution Query Plan Remote Machine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Machine AnalyticsCambridgeUSA

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