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Ocean_use_case_searching

Difference between version 11 and version 10:

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- DAP servers, which provide all of the data used by the Ocean Use Case are completely autonomous entities with their own network interfaces. Each supports a uniform base set of operations, but there is no requirement to organize or catalog those servers in a coordinated and centralized way. For the purposes of this use case, we assume that implementing a distributed query is outside the scope of solutions we wan to consider. Thus, we must create a centralized store of information about the collection of known data sets that can be searched in response to various types of queries.
+ DAP servers, which provide all of the data used by the Ocean Use Case are completely autonomous entities with their own network interfaces. Each supports a uniform base set of operations, but there is no requirement to organize or catalog those servers in a coordinated, unified or centralized way. For the purposes of this use case, we assume that implementing a distributed query is outside the scope of solutions we can to consider. Thus, we must create a centralized store of information about the collection of known data sets that can be searched in response to various types of queries.
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- The Kepler client supports searching the Metacat data base system to locate data sets and it seems that populating an instance of this data base with information about the data sets in the use case will provide the needed information on which to build a search user interface. However, the metacat/kepler combination is not completely general; while metacat is capable of indexing arbitrary XML documents (so it could index the DDX returned by a DAP server for a given data set), kepler expects the records it searches to be (a subset of) EML documents.
+ The Kepler client supports searching the Metacat data base system to locate data sets and it seems that populating an instance of this data base with information about the data sets in the use case will provide the needed information on which to build a search user interface. However, the Metacat/Kepler combination is not completely general; while Metacat is capable of indexing arbitrary XML documents (so it could index the DDX returned by a DAP server for a given data set), Kepler expects the records it searches to be (a subset of) EML documents.

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