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The Government Information Locator Service: Discovering, identifying, and accessing spatial data

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Title: The Government Information Locator Service: Discovering, identifying, and accessing spatial data
Author(s): Moen, William E.
Subject(s): Government information Government Information Locator Service (GILS)
Abstract: The Government Information Locator Service (GILS) is a new federal initiative to assist the public in discovering, identifying, and locating government information. GILS may play a special role in helping the spatial data community to search and retrieve information about spatial information resources created, collected, or held by federal agencies. GILS is a decentralized standards-based approach to network discovery and retrieval. The basic components of GILS are structured records (i.e., the GILS Locator Records) with standardized data elements that describe and provide access information to federal information resources; agency-based information servers hosting the Locator Records; client software to initiate information retrieval transactions; and ANSI/NISO Z39.50 as the communications protocol between clients and servers. This paper provides an overview of GILS and discusses ANSI/NISO Z39.50, the American National Standard for information retrieval, and its use in GILS. The paper concludes with a discussion of the implications of GILS for the discovery and use of spatial data.
Issue Date: 1996
Publisher: Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign
Citation Info: Moen, W.E. (1996) The Government Information Locator Service: Discovering, identifying, and accessing spatial data. In L.C.Smith and M.Gluck (eds) Geographic information systems and libraries: patrons, maps, and spatial information : [papers presented at the 1995 Clinic on Library Applications of Data Processing, April 10-12, 1995]: 41-68.
Series/Report: Geographic information systems and libraries: patrons, maps, and spatial information [papers presented at the 1995 Clinic on Library Applications of Data Processing, April 10-12, 1995]
Genre: Conference Paper / Presentation
Type: Text
Language: English
URI: http://hdl.handle.net/2142/417
ISBN: 0878450971
ISSN: 0069-4789
Publication Status: published or submitted for publication
Date Available in IDEALS: 2007-03-20
 

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