HiQIQ - High Quality Information Querying
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Project overview

The development of the Internet and the World Wide Web  during recent years has made it possible and useful to access many different information systems anywhere in the world to obtain desired information. Traditionally, access to digitized information is handled by local, centralized information management systems, that are under direct control of the owner, who is in most cases identical with or within the same organization as the user. This has changed - much information now obtained by a user is distributed and no longer under his control: Information systems accessed through the Internet and the WWW are locally autonomous (i) in what information they provide and (ii) how they provide it. Content, quality, access cost and many other parameters of these systems may differ greatly and cannot be influenced by the user. Finally, a user typically has several similar information sources to choose from and must decide which ones to query. We address the problem of querying multiple autonomous and heterogeneous information sources and delivering an overall ``satisfying'' answer to the user.

We use information quality criteria (see here for IQ details) to support the following tasks:

  • Select good sources prior to query planning
  • Speed up and enhance query planning
  • Select best plans for execution
  • Merge query results to high quality responses to the user
See here for details on these topics. 

The HiQIQ project is developed and maintained by the dbis database group of the Humboldt-University of Berlin.

This research was supported by the German Research Society (DFG), Berlin-Brandenburg Graduate School in Distributed Information Systems (GkVI) (DFG grant no. GRK~316).

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Felix Naumann

(2000/6/30)