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---+ Visualizing Your Data With <nowiki>HtmlPivotViewer</nowiki>
The <nowiki>HtmlPivotViewer</nowiki> jQuery control is a great way to explore datasets
in a web browser. The Virtuoso <nowiki>HtmlPivotViewer</nowiki> application extends this control to
add a sparql query editor, sharing with social media and Google translation. This guide shows you
how to install and configure the Virtuoso <nowiki>HtmlPivotViewer</nowiki> application to view
existing data sets and how to configure Virtuoso so that you can generate collections from your
own data.
* [[#ViewColl][Part 1. Viewing Collections]]
* [[#GenColl][Part 2. Generating your own Collections]]
* [[#GenPivotViewer][2.1 Using HtmlPivotViewer]]
* [[#GenSPARQL][2.2 Using SPARQL]]
* [[#GenFCT][2.3 Using The Facet Browser]]
* [[#GeniSPARQL][2.4 Using iSPARQL]]
* [[#SeeAlso][Related]]
#ViewColl
---++ Part 1. Viewing Collections
---+++ Prerequisites
* A Virtuoso Server with the following VAD packages installed:
* The [[http://s3.amazonaws.com/opldownload/uda/vad-packages/6.2/virtuoso/c_uri_dav.vad][C_uri VAD]]
(<nowiki>c_uri_dav.vad</nowiki>). This package contains a URL shortener that the
<nowiki>HtmlPivotViewer</nowiki> application relies on to shorten the very long URIs that can result from
generating a collection from a query.
* The <nowiki>HtmlPivotViewer</nowiki> VAD. This VAD is included in the <nowiki>HtmlPivotViewer</nowiki> project that can be downloaded as
either a [[http://opldownload.s3.amazonaws.com/HTML5/PivotViewer/html5pivotviewer-1.0.zip][zip file]] or [[http://opldownload.s3.amazonaws.com/HTML5/PivotViewer/html5pivotviewer-1.0.tar.gz][compressed tar archive]]. The VAD package contains the <nowiki>HtmlPivotViewer</nowiki> application.
Once these VAD packages are installed, viewing an existing collection is as simple as pointing your
browser to the <nowiki>HtmlPivotViewer</nowiki> application on your server, i.e. --
<verbatim>
http://your server address:your server port/HtmlPivotViewer
</verbatim>
-- and typing the collection address in the box on the page.
%BR%%BR%<img src="%ATTACHURLPATH%/PivotViewer.png" style="wikiautogen"/>%BR%%BR%
Alternatively, you can specify the address of the collection as a parameter to the URL, e.g. --
<verbatim>
http://your server address:your server port/HtmlPivotViewer?url=http%3A%2F%2Ftweetpivot.com%2Fcollections%2Ffriends_kidehen.cxml
</verbatim>
<strong>Note:</strong> The collection address must be URL Encoded if given as part of the URL.
You can now start exploring existing pivot collections.
#GenColl
---++Part 2. Generating your own Collections
Once you have the <nowiki>HtmlPivotViewer</nowiki> installed, you will want to start generating pivot
collections from your own data. There are a number of ways ways you can do this.
One method is to generate a collection from the results of a SPARQL query. The <nowiki>HtmlPivotViewer</nowiki>
includes its own SPARQL query editor, or you can use the SPARQL endpoint on any Virtuoso server.
Alternatively, you can generate a collection from a result set created in the facet browser.
You will need to install some additional packages, whichever method you use.
---+++Prerequisites
* The [[http://s3.amazonaws.com/opldownload/uda/vad-packages/6.2/virtuoso/sparql_cxml_dav.vad][SPARQL-CXML VAD]]
(<nowiki>sparql_cxml_dav.vad</nowiki>). This package supports generating a collection from a SPARQL
endpoint, and it is also required to use the SPARQL editor in the Virtuoso <nowiki>HtmlPivotViewer</nowiki>.
It also installs some example data that will be used in the rest of this guide.
* The Virtuoso <nowiki>ImageMagick</nowiki> and QR Code plugins needs to be enabled. In your
<code>virtuoso.ini</code>, in the <code>[Plugins]</code> section, make sure you have lines for
"<code>plain, im</code>" and "<code>plain, qrcode</code>", like this --
<verbatim>
[Plugins]
LoadPath=../hosting
...
Load6=plain, im
Load7=plain, qrcode
</verbatim>
Remember to restart Virtuoso if you make any changes to your <code>virtuoso.ini</code>.
<strong>Note:</strong> The SPARQL-CXML package extends the SPARQL endpoint on the Virtuoso server where
the package is installed. This extension is required to be able to generate a pivot collection from the
query results. It is however possible to generate a pivot collection from a query against a third-party
SPARQL endpoint or from a Virtuoso SPARQL endpoint that does not have the package installed, by using
a SPARQL-FED query from the Virtuoso instance that <strong>does</strong> have the SPARQL-CXML package
installed.
#GenPivotViewer
---+++2.1 Generating a Collection from a SPARQL Query In <nowiki>HtmlPivotViewer</nowiki>
The <nowiki>HtmlPivotViewer</nowiki> application contains its own SPARQL editor. In this example, you will
see how to generate a collection from a simple <code>DESCRIBE</code> query; and also how to generate a collection
from a SPARQL <code>SELECT</code> query, and then modify the query to meet your specific requirements.
---++++2.1.1 Generating the Collection - Using a SPARQL <code>DESCRIBE</code>
Point your browser at the <nowiki>HtmlPivotViewer</nowiki> application on your server, i.e. --
<verbatim>
http://your server address:your server port/HtmlPivotViewer
</verbatim>
-- and then select the <strong>Edit</strong> link in the top-right-corner. You can type your query
directly into the <strong>Query Text</strong> box in the form. The simplest way to get an overview
of the data in a particular graph is to use a SPARQL <code>DESCRIBE</code> query. For example:
<verbatim>
DESCRIBE ?s
FROM <http://pivot_test_data/ski_resorts>
WHERE {?s ?p ?o}
</verbatim>
creates a collection where each item is a ski resort with various facets giving further information
about each resort.
%BR%%BR%<img src="%ATTACHURLPATH%/describe.png" style="wikiautogen"/>%BR%%BR%
Click on the <strong>View</strong> button at the foot of the page to view the collection
in <nowiki>HtmlPivotViewer</nowiki>.
%BR%%BR%<img src="%ATTACHURLPATH%/describe2.png" style="wikiautogen"/>%BR%%BR%
<strong>Note: </strong>If at this point you see the <nowiki>HtmlPivotViewer</nowiki> but it is completely
empty, then it is likely that the SPARQL-CXML VAD has not been correctly installed. However, if you
see the <nowiki>HtmlPivotViewer</nowiki> with the filter pane correctly loaded but no item images showing
and if the position of the images can be highlighted, then it is likely that you have not enabled
the <nowiki>ImageMagick</nowiki> plugin for Virtuoso.
---++++2.1.2 Generating the Collection - Using a SPARQL <code>SELECT</code>
If you want more control over the way the collection is generated from your data you can use
a <code>SELECT</code> query. This simple <code>SELECT</code> query will return all of the items
in the <code><nowiki>http://pivot_test_data/ski_resorts</nowiki></code> graph, part of the example dataset.
In the following sections you will see how this simple query can be modified to change the way
that collection is generated.
<verbatim>
SELECT *
FROM <http://pivot_test_data/ski_resorts>
WHERE {?s ?p ?o}
</verbatim>
Execute the query and display the results in <nowiki>HtmlPivotViewer </nowiki> by clicking the
<strong>View</strong> button at the foot of the edit form.
%BR%%BR%<img src="%ATTACHURLPATH%/PivotEdit.png" style="wikiautogen"/>%BR%%BR%
You should see the collection like this:
%BR%%BR%<img src="%ATTACHURLPATH%/PivotViewer4.png" style="wikiautogen"/>%BR%%BR%
If you want to save or share the query, you can do so using the <strong>permalink</strong> at the
top-right-corner of the page. If you need to fine tune your query, you can return to the editor
by clicking on the <strong>Edit</strong> link. For example, the query that we used to generated
this first collection gives us all the items in the ski resorts graph. We can easily change it
to get the items in the campsite graph by changing the from clause in the query:
<verbatim>
SELECT *
FROM <http://pivot_test_data/campsites>
WHERE {?s ?p ?o}
</verbatim>
%BR%%BR%<img src="%ATTACHURLPATH%/PivotEdit3.png" style="wikiautogen"/>%BR%%BR%
Then click on <strong>View</strong> to see the new collection.
%BR%%BR%<img src="%ATTACHURLPATH%/campsites.png" style="wikiautogen"/>%BR%%BR%
Alternatively, we can see both campsites and ski resorts using the following query:
<verbatim>
PREFIX ski: <http://www.openlinksw.com/ski_resorts/schema#>
PREFIX camp: <http://www.openlinksw.com/campsites/schema#>
SELECT *
WHERE
{
{ ?s a ski:SkiResort .
?s ?p ?o
}
UNION
{ ?s a camp:Campsite .
?s ?p ?o
}
}
</verbatim>
%BR%%BR% <img src="%ATTACHURLPATH%/PivotEdit4.png" style="wikiautogen"/>%BR%%BR%
%BR%%BR% <img src="%ATTACHURLPATH%/both.png" style="wikiautogen"/>%BR%%BR%
---++++2.1.3 Item Images
In the examples so far, all items are represented by the same icon. It would be helpful if different
items had different images. We have reserved some special variables in the SPARQL query to help
control collection generation, and one of those variables is <strong><code>?image</code></strong>.
If we can find an image of the item in the collection and call it <code>?image</code>, then when
the collection is generated that item will be represented by its image. So, for example, we can use
the following query to find images of some of the ski resorts in the example dataset --
<verbatim>
PREFIX ski: <http://www.openlinksw.com/ski_resorts/schema#>
PREFIX camp: <http://www.openlinksw.com/campsites/schema#>
SELECT *
WHERE
{
{ ?s a ski:SkiResort .
?s ?p ?o .
OPTIONAL { ?s foaf:depiction ?image }
}
UNION
{ ?s a camp:Campsite .
?s ?p ?o .
OPTIONAL { ?s foaf:depiction ?image }
}
}
</verbatim>
%BR%%BR%<img src="%ATTACHURLPATH%/PivotViewer8.png" style="wikiautogen"/>%BR%%BR%
It would also be helpful to distinguish between the different types of items; in this case, the ski
resorts (without images) and the campsites. Even if an item does not have its own image, we can
change the default image depending on the type of the item. To do this we use another reserved
variable, <strong><code>?itemtype</code></strong>. Our example query then becomes --
<verbatim>
PREFIX ski: <http://www.openlinksw.com/ski_resorts/schema#>
PREFIX camp: <http://www.openlinksw.com/campsites/schema#>
SELECT *
WHERE
{
{ ?s a ski:SkiResort .
?s ?p ?o ;
a ?itemtype .
OPTIONAL { ?s foaf:depiction ?image }
}
UNION
{ ?s a camp:Campsite .
?s ?p ?o ;
a ?itemtype .
OPTIONAL { ?s foaf:depiction ?image }
}
}
</verbatim>
-- and we can clearly see which items are campsites.
%BR%%BR%<img src="%ATTACHURLPATH%/PivotVIewer9.png" style="wikiautogen"/>%BR%%BR%
---++++2.1. Item Names
If one of the campsite or ski resort items is selected in <nowiki>HtmlPivotViewer</nowiki>, the info box
opens on the right hand side of the page. It is headed with the name of the item, but in our example
that name is in fact a URI for the item.
%BR%%BR%<img src="%ATTACHURLPATH%/title1.png" style="wikiautogen"/>%BR%%BR%
In our example, just the name of the item would be sufficient, and it would be more readable. In the
case of the campsites, we can use the <code>rdfs:label</code> as the name, while in the case of the ski
resorts, we need to use the <code>ski:resort_name</code>. The pattern is optional in case some of the
items do not have the necessary attribute defined --
<verbatim>
PREFIX ski: <http://www.openlinksw.com/ski_resorts/schema#>
PREFIX camp: <http://www.openlinksw.com/campsites/schema#>
SELECT *
WHERE
{
{ ?s a ski:SkiResort .
?s ?p ?o ;
a ?itemtype .
OPTIONAL { ?s ski:resort_name ?name } .
OPTIONAL { ?s foaf:depiction ?image }
}
UNION
{ ?s a camp:Campsite .
?s ?p ?o ;
a ?itemtype .
OPTIONAL { ?s rdfs:label ?name } .
OPTIONAL { ?s foaf:depiction ?image }
}
}
</verbatim>
%BR%%BR%<img src="%ATTACHURLPATH%/title2a.png" style="wikiautogen"/>%BR%%BR%
---++++2.1.5 Facets
The collection we are have generated has two facets, called <code><nowiki>virtcxml:FacetP</nowiki></code>
and <code><nowiki>virtcxml:FacetO</nowiki></code>, that map to the predicate (<code>?p</code>) and object
(<code>?o</code>) as returned by the simple, generic <code>?s ?p ?o</code> pattern that we have in the
<code>WHERE</code> clause of the SPARQL <code>SELECT</code> that we are using. We can control which facets
the items in the collection have by having a separate pattern for each facet that we are interested in, and
by giving them meaningful names. Some facets will be available on all items, while some will only be relevant
to one type of item. For example, all items in our collection have a country code, but only the ski resorts
have altitude facets.
<verbatim>
PREFIX ski: <http://www.openlinksw.com/ski_resorts/schema#>
PREFIX camp: <http://www.openlinksw.com/campsites/schema#>
SELECT *
WHERE
{
{ ?s a ski:SkiResort .
?s a ?itemtype ;
geonames:countryCode ?country ;
ski:resort_name ?name ;
ski:beginner_slopes ?beginner_slopes ;
ski:intermediate_slopes ?intermediate_slopes ;
ski:advanced_slopes ?advanced_slopes ;
ski:expert_slopes ?expert_slopes ;
ski:altitude_m ?altitude .
OPTIONAL { ?s foaf:depiction ?image }
}
UNION
{ ?s a camp:Campsite .
?s a ?itemtype ;
geonames:countryCode ?country ;
rdfs:label ?name ;
campsite:resort_type ?resort_type ;
campsite:resort ?resort ;
campsite:region ?region ;
campsite:category ?category .
OPTIONAL { ?s foaf:depiction ?image }
}
}
</verbatim>
%BR%%BR%<img src="%ATTACHURLPATH%/PivotViewer7.png" style="wikiautogen"/>%BR%%BR%
#GenSPARQL
---+++2.2 Generating a Collection from a SPARQL Endpoint
The SPARQL-CXML VAD package extends the Virtuoso SPARQL endpoint to add "CXML collection" as an
alternative output format for query results. This example uses the same basic query that was used
in the previous section, but executes it in the Virtuoso SPARQL endpoint.
---++++2.2.1 Generating the Collection
The first step in generating the collection is the SPARQL query that returns the results that you
are interested in. Point your browser at the Virtuoso SPARQL endpoint. It will be here:
<verbatim>
http://your server address:your server port/sparql
</verbatim>
The following query will return all items in the <code><nowiki>http://pivot_test_data/ski_resorts</nowiki></code>
graph, part of the example dataset --
<verbatim>
SELECT *
FROM <http://pivot_test_data/ski_resorts>
WHERE {?s ?p ?o}
</verbatim>
By default, the results will be shown as a table in your browser. We need the results as a
<nowiki>HtmlPivotViewer</nowiki> collection. Alternate result formats can be selected in a drop-down
box below the query form. Choose <i>CXML (Pivot collection)</i> --
%BR%%BR% <img src="%ATTACHURLPATH%/sparql.png" style="wikiautogen"/>%BR%%BR%
Run the query and, depending on your browser, the result set may now be displayed as XML. If you are
using Safari, you will just see a blank page, but if you view the source of the page you will see the XML.
To use this collection in <nowiki>HtmlPivotViewer</nowiki>, you simply copy the contents of the browser's
address bar, and use that as the collection address in <nowiki>HtmlPivotViewer</nowiki>. So, open
<nowiki>HtmlPivotViewer</nowiki>, paste the address from the SPARQL query results in the collection
URL box, and click submit.
%BR%%BR%<img src="%ATTACHURLPATH%/PivotViewer3.png" style="wikiautogen"/>%BR%%BR%
You should see the collection like this:
%BR%%BR%<img src="%ATTACHURLPATH%/PivotViewer4.png" style="wikiautogen"/>%BR%%BR%
Once you have opened the collection in <nowiki>HtmlPivotViewer</nowiki>, any additional editing of the query
can be done using the <nowiki>HtmlPivotViewer</nowiki> editor by simply clicking on the <strong>Edit</strong>
link at the top right hand corner.
<strong>Tip:</strong> If a query in the <nowiki>HtmlPivotViewer</nowiki> editor is failing, pasting it
into the Virtuoso SPARQL endpoint and attempting to run it there may reveal some additional error
information which may help you resolve the problem.
#GenFCT
---+++2.3 Generating a Collection Using The Facet Browser
Using the Facet browser to create collections requires some extra packages. Once these packages are
installed, generating the collection is very straightforward. You use the Facet browser to create
a result set; then click on the <strong>Make Pivot Collection link</strong>.
---++++Prerequisites
* The [[http://opldownload.s3.amazonaws.com/uda/vad-packages/6.2/virtuoso/rdf_mappers_dav.vad][Cartridges VAD]]
(<nowiki>cartridges_dav.vad</nowiki>). This package provides base RDF functionality and the Sponger
framework for converting non-RDF data to RDF.
* The [[http://s3.amazonaws.com/opldownload/uda/vad-packages/6.2/virtuoso/fct_dav.vad][Virtuoso Facets web service]]
(<nowiki>fct_dav.vad</nowiki>) A general purpose RDF query facility for facet based browsing.
* The [[http://opldownload.s3.amazonaws.com/uda/vad-packages/6.2/virtuoso/fct_pivot_bridge_dav.vad][Facet Pivot Bridge]]
(<nowiki>fct_pivot_bridge.vad</nowiki>). This package extends the Facets web service so a collection can
be generated from the faceted query result sets.
---++++2.3.1 Generating the Collection
The Facet browser service will be found at
<verbatim>
http://your server address:your server port/fct
</verbatim>
%BR%%BR%<img src="%ATTACHURLPATH%/fct1.png" style="wikiautogen"/>%BR%%BR%
Type the word "resort" in the search box. This should find both the campsites and the ski resorts. The result set can be manipulated to only include the items that you are interested in. For example,
by selecting <strong>Types</strong> in the <strong>Entity Relations Navigation</strong> pane, you can
limit the result set to just items of the type <code><nowiki>ski:SkiResort</nowiki></code>.
%BR%%BR%<img src="%ATTACHURLPATH%/fct2.png" style="wikiautogen"/>%BR%%BR%
Once you have the result set that you want, click on the <strong>Make Pivot Collection</strong> link
at the top of the page. This creates the collection, and opens it in <nowiki>HtmlPivotViewer</nowiki>.
%BR%%BR%<img src="%ATTACHURLPATH%/fctpiv.png" style="wikiautogen"/>%BR%%BR%
#GeniSPARQL
---+++2.4 Generating a Collection from iSPARQL
To generate a collection from the iSPARQL interface, you will need to install an extra package.
---++++Prerequisites
* The [[http://s3.amazonaws.com/opldownload/uda/vad-packages/6.2/virtuoso/isparql_dav.vad][iSPARQL VAD]]
(<nowiki>isparql_dav.vad</nowiki>). This package installs iSPARQL, a graphical utility for building
and executing SPARQL queries.
---++++2.4.1 Generating the Collection
Point your browser at the iSPARQL interface on your server. It can be found at
<verbatim>
http://your server address:your server port/isparql
</verbatim>
It will open to a page like this:
%BR%%BR%<img src="%ATTACHURLPATH%/isparql.png" style="wikiautogen"/>%BR%%BR%
From the three tabs in the top center, choose the <strong>Advanced</strong> tab. This will open
a page where you can type in a query. Use the following <code>DESCRIBE</code> query:
<verbatim>
DESCRIBE ?s
FROM <http://pivot_test_data/ski_resorts>
WHERE {?s ?p ?o}
</verbatim>
%BR%%BR%<img src="%ATTACHURLPATH%/isparql1.png" style="wikiautogen"/>%BR%%BR%
Click on the arrow-in-a-blue-circle to run the query. The results page will be opened, showing
the ski resorts that have been found.
%BR%%BR%<img src="%ATTACHURLPATH%/isprql2.png" style="wikiautogen"/>%BR%%BR%
To make a pivot collection from these results, simply click on the <strong>Make Pivot</strong> link
in the top left corner of the results pane. This will open the link in the <nowiki>HtmlPivotViewer</nowiki>.
%BR%%BR%<img src="%ATTACHURLPATH%/isparql3.png" style="wikiautogen"/>%BR%%BR%
#SeeAlso
---++ Related
* [[VirtSparqlCxmlPivotViewer][Additional PivotViewer Guide]]
* <nowiki>PivotViewer</nowiki> Demo Collections
* [[http://www.delicious.com/kidehen/logd_demo][Linked Open Government-Oriented Demos]]
* [[http://www.delicious.com/kidehen/pivot_collection_app][General PivotViewer + Linked Data Demos]]
* [[http://www.delicious.com/kidehen/sparql_fed_demo][SPARQL-FED (Distributed or Federated SPARQL)-based Dynamic CXML and PivotViewer Demos]]
* [[http://www.delicious.com/kidehen/qrcode_use_demo][Demos where the SPARQL-based CXML generation includes QR Code generation]]
* [[http://www.delicious.com/kidehen/bbc_linkeddata][BBC-specific Demos]]
* [[http://www.delicious.com/kidehen/meshup][Various Meshups]] (not "Mashups," since these are driven by Linked Data, rather than by code)
* [[http://www.delicious.com/kidehen/goodrelations][Linked Data-Driven eCommerce-Oriented PivotViewer Demos]]
|
![[RDF Data]](/fct/images/sw-rdf-blue.png)
![[cxml]](/fct/images/cxml_doc.png)
![[csv]](/fct/images/csv_doc.png)
![[text]](/fct/images/ntriples_doc.png)
![[turtle]](/fct/images/n3turtle_doc.png)
![[ld+json]](/fct/images/jsonld_doc.png)
![[rdf+json]](/fct/images/json_doc.png)
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