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Future Development Plans

Future Development Plans. Future Development Plans. Funded WCS/WFS support added to Hyrax netCDF Client Library integration Current research Cataloging/Discovery Wish list Aggregation SQL handler File responses WMS. OGC’s WCS/WFS.

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Future Development Plans

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  1. Future Development Plans

  2. Future Development Plans • Funded • WCS/WFS support added to Hyrax • netCDF Client Library integration • Current research • Cataloging/Discovery • Wish list • Aggregation • SQL handler • File responses • WMS

  3. OGC’s WCS/WFS • NASA is currently funding development of a plugin so Hyrax can read from a WCS server • WCS data exposed using DAP • IOOS/NOAA has funded a proposal to develop a WCS and WFS interface for Hyrax • DAP data exposed using WCS/WFS

  4. WCS/WFS: How • Using DAP4’s DDX response • Use namespaces to categorize the attributes as belonging to DAP, WCS, WFS, et cetera • Develop an ontology to map between those namespaces (i.e., sets of attributes) • The data models for both DAP and WCS/WFS are similar enough to enable a crosswalk using an inference engine • The ontology(ies) used will model both the Interfaces (DAP, WCS, WFS) and the response semantics.

  5. The netCDF Client Library • NSF funded two year effort • Move support for the netCDF Client Library out of OPeNDAP and into Unidata • Unidata is the author of netCDF • Our library is currently a ‘version’ of their official library • The software will move into Unidata’s source code repository and will be an integral part of all future releases of netCDF.

  6. netCDF Client Library: How • Using the Ocapi C library we developed recently • The current netCDF CL software is written in C++ • The design will be recast in C • The libdap (C++) code will be replaced by Ocapi (C) code • CDM support will be integrated

  7. Cataloging & Discovery • NSF funded research effort with UCSB and URI • Using a crawler to harvest metadata • Developing clustering techniques to automatically build inventories • Inventory search is closely related to data source aggregation

  8. Inventories • An inventory is a catalog that falls between the individual data sources (DAP URLs, files, database blobs) and a list of ‘logical’ datasets • A logical dataset is what a person typically thinks of when they use the word ‘dataset’ • The inventory collects all the pieces that the computer manages and lists each one that makes up the logical dataset • My apologies for the phrase ‘logical dataset’

  9. Aggregation • As TDS currently supports, data sources (e.g., files) from within an ‘inventory’ are combined into a virtual data source • The virtual data source is typically ‘extended’ and choosing points along this extension is effectively searching an inventory • Example: A set of two-dimensional images are combined to form a cube with the new dimension the date/time of image capture • Choosing a range of dates/times along that new axis returns the same data as choosing individual inventory entries

  10. Other things we would like … • SQL • A handler for SQL • Currently pyDAP and DRDS provide this support • Please contact us before using DRDS as it is no longer supported • File-type responses • We would like for Hyrax to be able to return a netCDF, HDF4/5 or GeoTIFF file • The server can return ASCII CSV responses now and we have some work done on a netCDF tool, but no funding • WMS • Since we have WCS/WFS support planned, WMS support is a natural thing to expect.

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