Query-answering algorithms for information agents

  • Authors:
  • Alon Y. Levy;Anand Rajaraman;Joann J. Ordille

  • Affiliations:
  • AI Principles Research Department, AT&T Research;Department of Computer Science, Stanford University;Computing Sciences Research Center, Bell Laboratories

  • Venue:
  • AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
  • Year:
  • 1996

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe the architecture and query-answering algorithms used in the Information Manifold, an implemented information gathering system that provides uniform access to structured information sources on the World-Wide Web. Our architecture provides an expressive language for describing information sources, which makes it easy to add new sources and to model the fine-grained distinctions between their contents. The query-answering algorithm guarantees that the descriptions of the sources are exploited to access only sources that are relevant to a given query. Accessing only relevant sources is crucial to scale up such a system to large numbers of sources. In addition, our algorithm can exploit run-time information to further prune information sources and to reduce the cost of query planning.