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Metacat: XML Metadata Database
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Version: 1.0.0beta3 Release
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Feedback and bugs to: knb-software@nceas.ucsb.edu
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Contributors: Matt Jones (jones@nceas.ucsb.edu)
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              Chad Berkley (berkley@nceas.ucsb.edu)
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              Jivka Bojilova (bojilova@nceas.ucsb.edu)
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              Dan Higgins (higgins@nceas.ucsb.edu)
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This is Metacat, a flexible database storage system for XML formatted
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documents. Metacat models the structure of the XML document, therefore
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allowing storage of XML documents with arbitrary schemas. The current
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implementation stores data in a backend Oracle RDBMS, but was designed
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to support other RDBMS systems as well. The server supports XML document
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storage, retrievel, query, validation, and transformation (using the XSLT
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stylesheet language).  In addition, there is a mechanism for replicating
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the database to other metacat instances for backup and load balancing
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purposes.  Metacat currently uses an LDAP database for authenticating
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users, but was written to accomodate other authentication services as well.
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See the docs directory for detailed documentation and installation
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instructions.
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Details of the Metacat architecture can be found on the website for
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the Knowledge Network for Biocomplexity (KNB):
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  http://knb.ecoinformatics.org/software/metacat/
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Contributions to this work are welcome.  Please see the above web site
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for details on how to contribute.
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Major Known Bugs or Feature Requests (see http://bugzilla.ecoinformatics.org)
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-----------------------------------------------------------------------------
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258 upgrade to xerces 1.4.4 and test metacat
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162 need harvest/batch load for metacat
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163 need data repository interface for metacat
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195 allow metacat to store files on multiple fs
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238 query performance
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 94 add DOM interface support to metacat
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Legalese
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--------
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This software is copyrighted by The Regents of the University of California
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and the National Center for Ecological Analysis and Synthesis
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and licensed under the GNU GPL; see the 'LICENSE' file for
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details.
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This material is based upon work supported by the
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National Science Foundation under Grant No. DEB99-80154 and DBI99-04777.
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Any opinions, findings and conclusions or recomendations expressed in this
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material are those of the author(s) and do not necessarily reflect
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the views of the National Science Foundation (NSF).