[DL-Learner SVN] SF.net SVN: dl-learner:[1661] trunk/doc/manual/manual.tex

[<jen...@us...>]

Revision: 1661
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=1661&view=rev
Author:   jenslehmann
Date:     2009-03-24 09:14:51 +0000 (Tue, 24 Mar 2009)

Log Message:
-----------
manual reference to KB EBNF definition

Modified Paths:
--------------
    trunk/doc/manual/manual.tex

Modified: trunk/doc/manual/manual.tex
===================================================================
--- trunk/doc/manual/manual.tex	2009-03-23 15:36:15 UTC (rev 1660)
+++ trunk/doc/manual/manual.tex	2009-03-24 09:14:51 UTC (rev 1661)
@@ -124,7 +124,7 @@
 
 \begin{description}
  \item[OWL File] DL-Learner supports OWL files in different formats, e.g. RDF/XML or N-Triples. If there is a standard OWL format, you want to use, but is not supported by DL-Learner please let us know. We use the OWL API for parsing, so all formats supported by it can be used\footnote{ for a list see \owlapi}.
- \item[KB File] KB files are an internal non-standardised knowledge representation format, which corresponds to description logic syntax except that the special symbols have been replaced by ASCII strings, e.g.~\verb|AND| instead of $\sqcap$. You can find several KB files in the examples folder.
+ \item[KB File] KB files are an internal non-standardised knowledge representation format, which corresponds to description logic syntax except that the special symbols have been replaced by ASCII strings, e.g.~\verb|AND| instead of $\sqcap$. You can find several KB files in the examples folder. The \verb|doc/kbFileSyntax.txt| contains an EBNF description of the language.
  \item[SPARQL Endpoint] DL-Learner allows to use SPARQL endpoints as background knowledge source, which enables the incorporation of very large knowledge bases, e.g. DBpedia\cite{2008_dbpedia}, in DL-Learner. This works by using a set of start instances, which usually correspond to the examples in a learning problem, and then retrieving knowledge about these instances via SPARQL queries. The obtained knowledge base fragment can be converted to OWL and consumed by a reasoner later since it is now sufficiently small to be processed in reasonable time. Please see \cite{2009_ijswis} for details about the knowledge fragment extraction algorithm. Some options of the SPARQL component are:
 \begin{itemize}
  \item instances: Set of individuals to use for starting the knowledge fragment extraction. Example use in conf file: \begin{verbatim}sparql.instances = {"http://dbpedia.org/resource/Matt_Stone",


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