Author: rwesten
Date: Wed Jun 27 08:45:50 2012
New Revision: 1354370

URL: http://svn.apache.org/viewvc?rev=1354370&view=rev
Log:
some additions

Modified:
    incubator/stanbol/site/trunk/content/stanbol/overview.mdtext

Modified: incubator/stanbol/site/trunk/content/stanbol/overview.mdtext
URL: 
http://svn.apache.org/viewvc/incubator/stanbol/site/trunk/content/stanbol/overview.mdtext?rev=1354370&r1=1354369&r2=1354370&view=diff
==============================================================================
--- incubator/stanbol/site/trunk/content/stanbol/overview.mdtext (original)
+++ incubator/stanbol/site/trunk/content/stanbol/overview.mdtext Wed Jun 27 
08:45:50 2012
@@ -1,20 +1,19 @@
 Title: Overview about Apache Stanbol (incubating)
 
 Apache Stanbol (currently in [incubating](http://incubator.apache.org)) 
provides a  set of reusable components for semantic content management. For 
users it is important to note that Stanbol is NOT a semantic CMS by it own. It 
is designed to provide semantic services for existing content management.
-<p style="text-align: center;">![Apache Stanbol - The semantic 
engine](images/stanbol-semanticengine.png "Apache Stanbol is aimed to bring 
semantic technologies to current CMS Systems.")</p>
+<p style="text-align: center;">![Apache Stanbol - The semantic 
engine](images/stanbol-semanticengine.png "Apache Stanbol is aimed to bring 
semantic technologies to current CMS Systems.")<figcaption>Figure 1: Apache 
Stanbol is aimed to bring semantic technologies to current CMS Systems. 
</figcaption></p>
 
 However while Apache Stanbol was build with CMS in mind it can also be used in 
different usage scenarios including: Direct usage from web applications (e.g. 
for Tag extraction/suggestion; or text completion in search fields), 'smart' 
Content workflows or email routing based on extracted Entities/Topics, ...
 
 The remaining part of this Document provides an overview about Apache Stanbol 
by means of describing typical usage scenarios.
 
+<span style="float:right"> ![Content Enhancement with the Stanbol 
Enhancer](images/stanbol-feature-enhance.png "Extract semantic information from 
parsed Content")
+<figcaption>Figure 1: The Apache Stanbol Components</figcaption><span>
 ### Content Enhancement
 
-Extracting information of parsed content is the most common usage of Apache 
Stanbol. 
+Extracting information of parsed content is the most common use case forApache 
Stanbol. For that users need to use the [RESTful 
API](docs/trunk/enhancer/enhancerrest.html) of the Stanbol Enhancer to send 
their Content to Stanbol. The Enhancer that uses its [Semantic 
Engines](doc/trunk/enhancer/engines) to analyze the parsed Content. Extracted 
information are represented as RDF and returned in the Response of the 
Enhancement Request. For more Information about how to use the Stanbol Enhancer 
for Enhancing your Content please see this [Usage 
Scenario](docs/trunk/contentenhancement.html). 
 
-The Stanbol Enhancer provides a [RESTful 
API](docs/trunk/enhancer/enhancerrest.html) that allows to [extract semantic 
information](docs/trunk/contentenhancement.html) from parsed Content. 
-<p style="text-align: center;">
-![Content Enhancement with the Stanbol 
Enhancer](images/stanbol-feature-enhance.png "Extract semantic information from 
parsed Content")
-</p>
+This service is intended to be used by Content Management Systems to extract 
information from managed content. Those information can than be used to improve 
search and navigation. However Enhancement Results can be also used to support 
users while during content Editing e.g. by suggesting mentioned entities as 
Tags or by allowing them to directly interact with mentions within the text as 
shown by the next figure.
 
 Results are represented as RDF graph and can be used on the front end e.g. to 
improve 
[Tagging](docs/trunk/enhancementusage.html#entity-tagging-use-tags-to-relate-you-content-to-persons-places-events)
 or even [inline Content 
Annotation](docs/trunk/enhancementusage.html#entity-checker-inline-editing-of-content-enhancements).
 In the backend extracted information can be used to improve search and content 
processing workflows.
 


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