Changeset 3680 for SMC4LRT/chapters/Design_SMCinstance.tex

Timestamp:

10/04/13 22:47:37 (11 years ago)

Author:

vronk

Message:

adding Schema Matching info and application

File:

• SMC4LRT/chapters/Design_SMCinstance.tex (modified) (4 diffs)

SMC4LRT/chapters/Design_SMCinstance.tex

@@ -306 +306 @@
 \end{enumerate}
 
+This task is basically an application of ontology mapping method.
+
+We don't try to achieve complete ontology alignment, we just want to find 
+for our ``anonymous'' concepts semantically equivalent concepts from other ontologies.
+This is very near just other phrasing for the definition of ontology mapping function as given by \cite{EhrigSure2004, amrouch2012survey}:
+``for each concept (node) in ontology A [tries to] find a corresponding concept
+(node), which has the same or similar semantics, in ontology B and vice verse''.
+
+The first two points in the above enumeration represent the steps necessary to be able to apply the ontology mapping.
+The identification of appropriate vocabularies is discussed in the next subsection. In the operationalization, the identified vocabularies could be treated as one aggregated ontology to map all entities against. For the sake of higher precision, it may be sensible to perform the task separately for individual concepts, i.e. organisations, persons etc. and in every run consider only relevant vocabularies.
+
+
+The transformation of the data has been partly described in previous section:
+It can be trivially automatically converted into RDF triples as :
+
+\begin{example3}
+<lr1> & cmd:Organisation & "MPI" \\
+\end{example3}
+
+However for the needs of the mapping task we propose to reduce and rewrite to retrieve distinct concept , value pairs:
+
+\begin{example3}
+\_:1 & a & cmd:Organisation;\\
+   & skos:altLabel & "MPI";
+\end{example3}
+
+\var{lookup} function is a customized version of the \var(map) function, that operates on this information pairs (concept, label).
+
+The two steps \var{lookup} and \var{assess} correspond exactly to the two steps in \cite{jimenez2012large} in their system \xne{LogMap2}: 1) computation of mapping candidates (maximise recall) and b) assessment of the candidates (maximize precision)
+
+
 \begin{figure*}[!ht]
 \includegraphics[width=1\textwidth]{images/SMC_CMD2LOD}
@@ -373 +404 @@
 
 
+
 %%%%%%%%%%%%%%%%%%%%%
 \section{SMC LOD - Semantic Web Application}
@@ -378 +410 @@
 
 
-
-\cite{Europeana RDF Store Report}
-
-Technical aspects (RDF-store?): Virtuoso
-
-\todocode{install Jena +  fuseki}\furl{http://jena.apache.org}\furl{http://jena.apache.org/documentation/serving_data/index.html}\furl{http://csarven.ca/how-to-create-a-linked-data-site}
-
-\todocode{install older python (2.5?) to be able to install dot2tex - transforming dot files to nicer pgf formatted graphs}\furl{http://dot2tex.googlecode.com/files/dot2tex-2.8.7.zip}\furl{file:/C:/Users/m/2kb/tex/dot2tex-2.8.7/}
-
-\todocode{check install siren}\furl{http://siren.sindice.com/}
-
-
-\todocode{check/install: raptor for generating dot out of rdf}\furl{http://librdf.org/raptor/}
-
-\todocode{check/install: Linked Data browser: LoD p. 81; Haystack}\furl{http://en.wikipedia.org/wiki/Haystack_(PIM)}
-
- / interface (ontology browser?)
-
-semantic search component in the Linked Media Framework
-\todocode{!!! check install LMF - kiwi - SemanticSearch !!!}\furl{http://code.google.com/p/kiwi/wiki/SemanticSearch}
-
-\todoin{check SARQ}\furl{http://github.com/castagna/SARQ}
-
-
-\section {Full semantic search - concept-based + ontology-driven ?}
-\label{semantic-search}
-
 With the new enhanced dataset, as detailed in section \ref{sec:cmd2rdf}, the groundwork is laid for the full-blown semantic search as proposed in the original goals, i.e. the possibility for ontology-driven or at least `semantic resources assisted' exploration of the dataset.
 
@@ -415 +420 @@
 rechercheisidore, dbpedia, ...
 
+
+\cite{Europeana RDF Store Report}
+
+Technical aspects (RDF-store?): Virtuoso
+
+
+semantic search component in the Linked Media Framework
+
+\todoin{check SARQ}\furl{http://github.com/castagna/SARQ}
+
+
+%\section {Full semantic search - concept-based + ontology-driven ?}
+%\label{semantic-search}
+
+
 \section{Summary}
+
+%The task can be also seen as building bridge between XML resources and semantic resources expressed in RDF, OWL.
+
+The process of expressing the whole of the data as one semantic resource, can be also understood as schema or ontology merging task. Data categories being the primary mapping elements
+
+
 In this chapter, an expression of the whole of the CMD data domain into RDF was proposed, with special focus on the way how to translate the string values in metadata fields to corresponding semantic entities. Additionally, some technical considerations were discussed regarding exposing this dataset as Linked Open Data and the implications for real semantic ontology-based data exploration.