Inserting a long XML document into XMLType

Question

I'm trying to load the following document into an XMLType column in 10.2. I've tried every example I can find and can push the data into CLOBs using the Java work around just fine (http://www.oracle.com/technology/sample_code/tech/java/codesnippet/xmldb/HowToLoadLargeXML.html).
Can anyone provide a solution or let me know if there is a limitation please?
Given the table;
SQL> describe xmltable_1
Name Null? Type
DOC_ID NUMBER
XML_DATA XMLTYPE
How do I load this data into 'XML_DATA'?
<?xml version="1.0" encoding="UTF-8"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>Rand McNally and ESRI</origin>
<pubdate>1996</pubdate>
<title>ESRI Cities Geodata Set</title>
<geoform>vector digital data</geoform>
<onlink>\\OIS23\C$\Files\Working\Metadata\world\cities.shp</onlink>
</citeinfo>
</citation>
<descript>
<abstract>World Cities contains locations of major cities around the world. The cities include national capitals for each of the countries in World Countries 1998 as well as major population centers and landmark cities. World Cities was derived from ESRI's ArcWorld database and supplemented with other data from the Rand McNally New International Atlas</abstract>
<purpose>606 points, 4 descriptive fields. Describes major world cities.</purpose>
</descript>
<timeperd>
<timeinfo>
<sngdate>
<caldate>1996</caldate>
</sngdate>
</timeinfo>
<current>publication date</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>None planned</update>
</status>
<spdom>
<bounding>
<westbc>
-165.270004</westbc>
<eastbc>
177.130188</eastbc>
<northbc>
78.199997</northbc>
<southbc>
-53.150002</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>city</themekt>
<themekey>cities</themekey>
</theme>
</keywords>
<accconst>none</accconst>
<useconst>none</useconst>
<ptcontac>
<cntinfo>
<cntperp>
<cntper>unknown</cntper>
<cntorg>unknown</cntorg>
</cntperp>
<cntpos>unknown</cntpos>
<cntvoice>555-1212</cntvoice>
</cntinfo>
</ptcontac>
<datacred>ESRI</datacred>
<native>Microsoft Windows NT Version 4.0 (Build 1381) Service Pack 6; ESRI ArcCatalog 8.1.0.570</native>
</idinfo>
<dataqual>
<attracc>
<attraccr>no report available</attraccr>
<qattracc>
<attraccv>1000000</attraccv>
<attracce>no report available</attracce>
</qattracc>
</attracc>
<logic>no report available</logic>
<complete>no report available</complete>
<posacc>
<horizpa>
<horizpar>no report available</horizpar>
</horizpa>
<vertacc>
<vertaccr>no report available</vertaccr>
</vertacc>
</posacc>
<lineage>
<srcinfo>
<srccite>
<citeinfo>
<title>ESRI</title>
</citeinfo>
</srccite>
<srcscale>20000000</srcscale>
<typesrc>CD-ROM</typesrc>
<srctime>
<timeinfo>
<sngdate>
<caldate>1996</caldate>
</sngdate>
</timeinfo>
<srccurr>publication date</srccurr>
</srctime>
<srccontr>no report available</srccontr>
</srcinfo>
<procstep>
<procdesc>no report available</procdesc>
<procdate>Unknown</procdate>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<direct>Vector</direct>
<ptvctinf>
<sdtsterm>
<sdtstype>Entity point</sdtstype>
<ptvctcnt>606</ptvctcnt>
</sdtsterm>
</ptvctinf>
</spdoinfo>
<spref>
<horizsys>
<geograph>
<latres>0.000001</latres>
<longres>0.000001</longres>
<geogunit>Decimal degrees</geogunit>
</geograph>
<geodetic>
<horizdn>North American Datum of 1927</horizdn>
<ellips>Clarke 1866</ellips>
<semiaxis>6378206.400000</semiaxis>
<denflat>294.978698</denflat>
</geodetic>
</horizsys>
</spref>
<eainfo>
<detailed>
<enttyp>
<enttypl>
cities</enttypl>
</enttyp>
<attr>
<attrlabl>FID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>Shape</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>NAME</attrlabl>
<attrdef>The city name. Spellings are based on Board of Geographic Names standards and commercial atlases.</attrdef>
<attrdefs>ESRI</attrdefs>
</attr>
<attr>
<attrlabl>COUNTRY</attrlabl>
<attrdef>An abbreviated country name.</attrdef>
</attr>
<attr>
<attrlabl>POPULATION</attrlabl>
<attrdef>Total population for the entire metropolitan area. Values are from recent census or estimates.</attrdef>
</attr>
<attr>
<attrlabl>CAPITAL</attrlabl>
<attrdef>Indicates whether a city is a national capital (Y/N).</attrdef>
</attr>
</detailed>
<overview>
<eaover>none</eaover>
<eadetcit>none</eadetcit>
</overview>
</eainfo>
<distinfo>
<stdorder>
<digform>
<digtinfo>
<transize>0.080</transize>
</digtinfo>
</digform>
</stdorder>
</distinfo>
<metainfo>
<metd>20010509</metd>
<metc>
<cntinfo>
<cntorgp>
<cntorg>ESRI</cntorg>
<cntper>unknown</cntper>
</cntorgp>
<cntaddr>
<addrtype>unknown</addrtype>
<city>unknown</city>
<state>unknown</state>
<postal>00000</postal>
</cntaddr>
<cntvoice>555-1212</cntvoice>
</cntinfo>
</metc>
<metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
<mettc>local time</mettc>
<metextns>
<onlink>http://www.esri.com/metadata/esriprof80.html</onlink>
<metprof>ESRI Metadata Profile</metprof>
</metextns>
</metainfo>
</metadata>
rtacce>Vertical Positional Accuracy is expressed in meters. Vertical accuracy figures were developed by comparing elevation contour locations on 1:24,000 scale maps to elevation values at the same location within the digital database. Some manual interpolation was necessary to complete this test. The analysis results are expressed as linear error at a 90% confidence interval.</vertacce>
</qvertpa>
</vertacc>
</posacc>
<lineage>
<srcinfo>
<srccite>
<citeinfo>
<origin>National Imagery and Mapping Agency</origin>
<pubdate>1994</pubdate>
<title>Operational Navigational Chart</title>
<geoform>map</geoform>
<pubinfo>
<pubplace>St.Louis, MO</pubplace>
<publish>National Imagery and Mapping Agency</publish>
</pubinfo>
</citeinfo>
</srccite>
<srcscale>1000000</srcscale>
<typesrc>stable-base material</typesrc>
<srctime>
<timeinfo>
<rngdates>
<begdate>1974</begdate>
<enddate>1994</enddate>
</rngdates>
</timeinfo>
<srccurr>Publication dates</srccurr>
</srctime>
<srccitea>ONC</srccitea>
<srccontr>All information found on the source with the exception of aeronautical data</srccontr>
</srcinfo>
<srcinfo>
<srccite>
<citeinfo>
<origin>National Imagery and Mapping Agency</origin>
<pubdate>199406</pubdate>
<title>Digital Aeronautical Flight Information File</title>
<geoform>model</geoform>
<pubinfo>
<pubplace>St. Louis, MO</pubplace>
<publish>National Imagery and Mapping Agency</publish>
</pubinfo>
</citeinfo>
</srccite>
<typesrc>magnetic tape</typesrc>
<srctime>
<timeinfo>
<sngdate>
<caldate>1994</caldate>
</sngdate>
</timeinfo>
<srccurr>Publication date</srccurr>
</srctime>
<srccitea>DAFIF</srccitea>
<srccontr>Airport records (name, International Civil Aviation Organization, position, elevation, and type)</srccontr>
</srcinfo>
<srcinfo>
<srccite>
<citeinfo>
<origin>Defense Mapping Agency</origin>
<pubdate>1994</pubdate>
<title>Jet Navigational Chart</title>
<geoform>map</geoform>
<pubinfo>
<pubplace>St.Louis, MO</pubplace>
<publish>Defense Mapping Agency</publish>
</pubinfo>
</citeinfo>
</srccite>
<srcscale>2,000,000</srcscale>
<typesrc>stable-base material</typesrc>
<srctime>
<timeinfo>
<rngdates>
<begdate>1974</begdate>
<enddate>1991</enddate>
</rngdates>
</timeinfo>
<srccurr>Publication date</srccurr>
</srctime>
<srccitea>JNC</srccitea>
<srccontr>All information found on the source with the exception of aeronautical data. JNCs were used as source for the Antartica region only.</srccontr>
</srcinfo>
<srcinfo>
<srccite>
<citeinfo>
<origin>USGS EROS Data Center</origin>
<pubdate></pubdate>
<title>Advance Very High Resolution Radiometer</title>
<geoform>remote-sensing image</geoform>
<pubinfo>
<pubplace>Sioux Falls, SD</pubplace>
<publish>EROS Data Center</publish>
</pubinfo>
</citeinfo>
</srccite>
<srcscale>1000000</srcscale>
<typesrc>magnetic tape</typesrc>
<srctime>
<timeinfo>
<rngdates>
<begdate>199003</begdate>
<enddate>199011</enddate>
</rngdates>
</timeinfo>
<srccurr>Publication date</srccurr>
</srctime>
<srccitea>AVHRR</srccitea>
<srccontr>6 vegetation types covering the continental US and Canada</srccontr>
</srcinfo>
<procstep>
<procdesc>For the first edition DCW, stable-based positives were produced from the original reproduction negatives (up to 35 per ONC sheet). These were digitized either through a scanning-raster to vector conversion or hand digitized into vector form. The vector data was then tagged with attribute information using ARC-INFO software. Transformation to geographic coordinates was performed using the projection graticules for each sheet. Digital information was edge matched between sheets to create large regional datasets. These were then subdivided into 5 x 5 degree tiles and converted from ARC/INFO to VPF. The data was then pre-mastered for CD-ROM. QC was performed by a separate group for each step in the production process.</procdesc>
<procdate>199112</procdate>
<proccont>
<cntinfo>
<cntorgp>
<cntorg>Environmental Systems Research Institute</cntorg>
</cntorgp>
<cntpos>Applications Division</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>380 New York St.</address>
<city>Redlands</city>
<state>CA</state>
<postal>92373</postal>
<country>US</country>
</cntaddr>
<cntvoice>909-793-2853</cntvoice>
<cntfax>909-793-5953</cntfax>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdate>199404</procdate>
<proccont>
<cntinfo>
<cntorgp>
<cntorg>Geonex</cntorg>
</cntorgp>
<cntpos></cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>8950 North 9th Ave.</address>
<city>St. Petersburg</city>
<state>FL</state>
<postal>33702</postal>
<country>US</country>
</cntaddr>
<cntvoice>[phone]</cntvoice>
<cntfax>[phone]</cntfax>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>Transferred digitally directly into the VPF files.</procdesc>
<procdate>199408</procdate>
<proccont>
<cntinfo>
<cntorgp>
<cntorg>Geonex</cntorg>
</cntorgp>
<cntpos></cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>8950 North 9th Ave.</address>
<city>St. Petersburg</city>
<state>FL</state>
<postal>33702</postal>
<country>US</country>
</cntaddr>
<cntvoice>813-578-0100</cntvoice>
<cntfax>813-577-6946</cntfax>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>Stable-based positives were produced from the original reproduction negatives (up to 35 per ONC sheet). These were digitized either through a scanning-raster to vector conversion or hand digitized into vector form. The vector data was then tagged with attribute information using ARC-INFO software. Transformation to geographic coordinates was performed using the projection graticules for each sheet. Digital information was edge matched between sheets to create large regional datasets. These were then subdivided into 5 x 5 degree tiles and converted from ARC/INFO to VPF. The data was then pre-mastered for CD-ROM. QC was performed by a separate group for each step in the production process.</procdesc>
<procdate>199112</procdate>
<proccont>
<cntinfo>
<cntorgp>
<cntorg>Environmental Systems Research Institute</cntorg>
</cntorgp>
<cntpos>Applications Division</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>380 New York St.</address>
<city>Redlands</city>
<state>CA</state>
<postal>92373</postal>
<country>US</country>
</cntaddr>
<cntvoice>909-793-2853</cntvoice>
<cntfax>909-793-5953</cntfax>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>Daily AVHRR images were averaged for two week time periods over the entire US growing season. These averaged images, their rates of change, elevation information, and other data were used to produce a single land classification image of the contental US. The VMap-0 data set extended this coverage over the Canadian land mass, however vegetation classification was further subdivided into nine vegetation types.</procdesc>
<procdate>199402</procdate>
<srcprod>EROS data</srcprod>
<proccont>
<cntinfo>
<cntorgp>
<cntorg>USGS Eros Data Center</cntorg>
</cntorgp>
<cntpos></cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address></address>
<city>Sioux Falls</city>
<state>SD</state>
<postal></postal>
<country>US</country>
</cntaddr>
<cntvoice></cntvoice>
<cntfax></cntfax>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>The Eros data (raster files) were converted to vector polygon, splined (remove stairstepping), thinned (all ploygons under 2km2 were deleted), and tied to existing DCW polygons (water bodies, built-up areas). The resulting file was tiled and converted to a VPF Vegetation coverage for use in the DCW. All processing was performed using ARC-INFO software.</procdesc>
<procdate>199412</procdate>
<srcprod>VMap-0 Vegetation Coverage</srcprod>
<proccont>
<cntinfo>
<cntorgp>
<cntorg>Geonex</cntorg>
</cntorgp>
<cntpos></cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>8950 North 9th Ave.</address>
<city>St. Petersburg</city>
<state>FL</state>
<postal>33702</postal>
<country>US</country>
</cntaddr>
<cntvoice>813-578-0100</cntvoice>
<cntfax>813-577-6946</cntfax>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>Data was translated from VPF format to ArcInfo Coverage format. The coverages were then loaded into a seamless ArcSDE layer.</procdesc>
<procdate>02152001</procdate>
<proccont>
<cntinfo>
<cntorgp>
<cntorg>Geodesy Team, Harvard University</cntorg>
</cntorgp>
<cntemail>[email protected]</cntemail>
</cntinfo>
</proccont>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<direct>Vector</direct>
<ptvctinf>
<sdtsterm>
<sdtstype>Complete chain</sdtstype>
</sdtsterm>
<sdtsterm>
<sdtstype>Label point</sdtstype>
</sdtsterm>
<sdtsterm>
<sdtstype>GT-polygon composed of chains</sdtstype>
</sdtsterm>
<sdtsterm>
<sdtstype>Point</sdtstype>
</sdtsterm>
<vpfterm>
<vpflevel>3</vpflevel>
<vpfinfo>
<vpftype>Node</vpftype>
</vpfinfo>
<vpfinfo>
<vpftype>Edge</vpftype>
</vpfinfo>
<vpfinfo>
<vpftype>Face</vpftype>
</vpfinfo>
</vpfterm>
</ptvctinf>
</spdoinfo>
<spref>
<horizsys>
<geograph>
<latres>0.000000</latres>
<longres>0.000000</longres>
<geogunit>Decimal degrees</geogunit>
</geograph>
<geodetic>
<horizdn>D_WGS_1984</horizdn>
<ellips>WGS_1984</ellips>
<semiaxis>6378137.000000</semiaxis>
<denflat>298.257224</denflat>
</geodetic>
</horizsys>
<vertdef>
<altsys>
<altdatum>Mean Sea Level</altdatum>
<altunits>1.0</altunits>
</altsys>
</vertdef>
</spref>
<eainfo>
<detailed>
<enttyp>
<enttypl>
lc.pat</enttypl>
</enttyp>
<attr>
<attrlabl>FID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>Shape</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>AREA</attrlabl>
<attrdef>Area of feature in internal units squared.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>PERIMETER</attrlabl>
<attrdef>Perimeter of feature in internal units.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>LC#</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>LC-ID</attrlabl>
<attrdef>User-defined feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
</attr>
<attr>
<attrlabl>LCAREA.AFT_ID</attrlabl>
</attr>
<attr>
<attrlabl>LCPYTYPE</attrlabl>
<attrdef>Land cover poygon type</attrdef>
<attrdefs>NIMA</attrdefs>
<attrdomv>
<edom>
<edomv>1</edomv>
<edomvd>Rice Field</edomvd>
</edom>
<edom>
<edomv>2</edomv>
<edomvd>Cranberry bog</edomvd>
</edom>
<edom>
<edomv>3</edomv>
<edomvd>Cultivated area, garden</edomvd>
</edom>
<edom>
<edomv>4</edomv>
<edomvd>Peat cuttings</edomvd>
</edom>
<edom>
<edomv>5</edomv>
<edomvd>Salt pan</edomvd>
</edom>
<edom>
<edomv>6</edomv>
<edomvd>Fish pond or hatchery</edomvd>
</edom>
<edom>
<edomv>7</edomv>
<edomvd>Quarry, strip mine, mine dump, blasting area</edomvd>
</edom>
<edom>
<edomv>8</edomv>
<edomvd>Oil or gas</edomvd>
</edom>
<edom>
<edomv>10</edomv>
<edomvd>Lava flow</edomvd>
</edom>
<edom>
<edomv>11</edomv>
<edomvd>Distorted surface area</edomvd>
</edom>
<edom>
<edomv>12</edomv>
<edomvd>Unconsolidated material (sand or gravel, glacial moraine)</edomvd>
</edom>
<edom>
<edomv>13</edomv>
<edomvd>Natural landmark area</edomvd>
</edom>
<edom>
<edomv>14</edomv>
<edomvd>Inundated area</edomvd>
</edom>
<edom>
<edomv>15</edomv>
<edomvd>Undifferentiated wetlands</edomvd>
</edom>
<edom>
<edomv>99</edomv>
<edomvd>None</edomvd>
</edom>
</attrdomv>
</attr>
<attr>
<attrlabl>TILE_ID</attrlabl>
<attrdef>VPF Format tile ID</attrdef>
<attrdefs>NIMA</attrdefs>
</attr>
<attr>
<attrlabl>FAC_ID</attrlabl>
</attr>
</detailed>
<overview>
<eaover>The DCW used a product-specific attribute coding system that is composed of TYPE and STATUS designators for area, line, and point features; and LEVEL and SYMBOL designators for text features. The TYPE attribute specifies what the feature is, while the STATUS attribute specifies the current condition of the feature. Some features require both a TYPE and STATUS code to uniquely identify their characteristics. In order to uniquely identify each geographic attribute in the DCW, the TYPE and STATUS attribute code names are preceded by the two letter coverage abbreviation and a two letter abbreviation for the type of graphic primitive present. The DCW Type/Status codes were mapped into the FACC coding scheme. A full description of FACC may be found in Digital Geographic Information Exchange Standard Edition 1.2, January 1994.</eaover>
<eadetcit>Entities (features) and Attributes for DCW are fully described in: Department of Defense, 1992, Military Specification Digital Chart of the World (MIL-D-89009): Philadelphia, Department of Defense, Defense Printing Service Detachment Office.</eadetcit>
</overview>
</eainfo>
<distinfo>
<distrib>
<cntinfo>
<cntorgp>
<cntorg>NIMA</cntorg>
</cntorgp>
<cntpos>ATTN: CC, MS D-16</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>6001 MacArthur Blvd.</address>
<city>Bethesda</city>
<state>MD</state>
<postal>20816-5001</postal>
<country>US</country>
</cntaddr>
<cntvoice>301-227-2495</cntvoice>
<cntfax>301-227-2498</cntfax>
</cntinfo>
</distrib>
<distliab>None</distliab>
<stdorder>
<digform>
<digtinfo>
<formname>VPF</formname>
<formverd>19930930</formverd>
<formspec>Military Standard Vector Product Format (MIL-STD-2407). The current version of this document is dated 28 June 1996. Edition 3 of VMap-0 conforms to a previous version of the VPF Standard as noted. Future versions of VMap-0 will conform to the current version of VPF Standard.</formspec>
<transize>0.172</transize>
</digtinfo>
<digtopt>
<offoptn>
<offmedia>CD-ROM</offmedia>
<recfmt>ISO 9660</recfmt>
</offoptn>
</digtopt>
</digform>
<fees>Not Applicable</fees>
</stdorder>
</distinfo>
<distinfo>
<distrib>
<cntinfo>
<cntorgp>
<cntorg>USGS Map Sales</cntorg>
</cntorgp>
<cntaddr>
<addrtype>mailing address</addrtype>
<address>Box 25286</address>
<city>Denver</city>
<state>CO</state>
<postal>80225</postal>
<country>US</country>
</cntaddr>
<cntvoice>303-236-7477</cntvoice>
<cntfax>303-236-1972</cntfax>
</cntinfo>
</distrib>
<distliab>None</distliab>
<stdorder>
<digform>
<digtinfo>
<transize>0.172</transize>
</digtinfo>
</digform>
<fees>$82.50 per four disk set</fees>
<ordering>For General Public: Payment (check, money order, purchase order, or Government account) must accompany order.
Make all drafts payable to Dept. of the Interior- US Geological Survey.
To provide a general idea of content, a sample data set is available from the TMPO Home Page at:</ordering>
</stdorder>
</distinfo>
<distinfo>
<distrib>
<cntinfo>
<cntorgp>
<cntorg>Geodesy Team, Harvard University</cntorg>
<cntper>Geodesy Team</cntper>
</cntorgp>
<cntemail>[email protected]</cntemail>
</cntinfo>
</distrib>
<resdesc>Geodesy layer</resdesc>
<distliab>None</distliab>
<stdorder>
<digform>
<digtinfo>
<formname>SHP</formname>
<transize>0.172</transize>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>geodesy.harvard.edu</networkr>
</networka>
</computer>
</onlinopt>
</digtopt>
</digform>
<fees>none</fees>
</stdorder>
<availabl>
<timeinfo>
<sngdate>
<caldate>1992</caldate>
</sngdate>
</timeinfo>
</availabl>
</distinfo>
<metainfo>
<metd>20010226</metd>
<metc>
<cntinfo>
<cntorgp>
<cntorg>Geodesy Team</cntorg>
<cntper>REQUIRED: The person responsible for the metadata information.</cntper>
</cntorgp>
<cntvoice>REQUIRED: The telephone number by which individuals can speak to the organization or individual.</cntvoice>
<cntemail>[email protected]</cntemail>
</cntinfo>
</metc>
<metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
<mettc>local time</mettc>
<metextns>
<onlink>http://www.esri.com/metadata/esriprof80.html</onlink>
<metprof>ESRI Metadata Profile</metprof>
</metextns>
</metainfo>
</metadata>

Answer 1

Have you tired the directory and bfile methods? Here is the example for that in the Oracle XML Developer's Guide:
CREATE DIRECTORY xmldir AS 'path_to_folder_containing_XML_file';
Example 3-3 Inserting XML Content into an XMLType Table
INSERT INTO mytable2 VALUES (XMLType(bfilename('XMLDIR', 'purchaseOrder.xml'),
nls_charset_id('AL32UTF8')));
1 row created.
The value passed to nls_charset_id() indicates that the encoding for the file to be read is UTF-8.
ben