=Paper=
{{Paper
|id=None
|storemode=property
|title=Connecting Semantic Mediawiki to different Triple Stores Using RDF2Go
|pdfUrl=https://ceur-ws.org/Vol-632/paper18.pdf
|volume=Vol-632
|dblpUrl=https://dblp.org/rec/conf/semwiki/SchiedKW10
}}
==Connecting Semantic Mediawiki to different Triple Stores Using RDF2Go ==
https://ceur-ws.org/Vol-632/paper18.pdf
Connecting Semantic MediaWiki to different
Triple Stores Using RDF2Go
Manfred Schied1, Anton Köstlbacher1. Christian Wolff2
University of Regensburg, 1Information Science / 2Media Computing
Universitätsstr. 31, 93053 Regensburg, Germany
manfred.schied@stud.uni-r.de; {anton.koestlbacher, christian.wolff}@sprachlit.uni-r.de
Abstract. This article describes a generic triple store connector for the popular
Semantic MediaWiki software to be used with different triple stores like Jena or
Sesame. Using RDF2Go as an abstraction layer it is possible to easily exchange
triple stores. This ongoing work is part of the opendrugwiki project, a semantic
wiki for distributed pharmaceutical research groups.
Keywords: triple store connector, semantic mediawiki, rdf2go
1 Introduction
Semantic MediaWiki (SMW) [1] is one of the most popular and mature semantic wiki
engines currently available [2]. It is based on the MediaWiki software [3]. Queries
within wiki articles allow reusing available semantic data. For extended query results
or to query stored facts from outside the wiki it is necessary to connect SMW to a
triple store.
We use Semantic MediaWiki for knowledge-based applications in the domain of
pharmacy, focusing on psychiatric therapy. In the following, we briefly describe the
motivation for a generic triple store connector (ch. 2), give some information on the
application context (ch. 3) and explain our implementation approach (ch. 4).
2 An Abstraction Layer for Triple Stores
Triple stores are storage systems tailored for efficient storage of RDF data [4]. In
addition, triple stores offer services and programming libraries for inferring new facts
or for accessing data using a query language. In a distributed computing system a
triple store is a rather independent component with specific features which can be
utilized by an associated application programming interface (API). In addition, se-
mantic wiki data can be used in other applications or served as linked data on the web
[10].
At the moment, three different triple store products are available for use with
SMW, each with a specific connector to SMW. Two of them, RAP [5] and Ontoprise
Basic Triplestore [6] are based on open source software, the third one, Ontobroker, is
a commercial product [7]. As SMW (with Halo Extension, see [15]) doesn’t follow
W3C’s recommended SPARQL/UL format exactly [8], but uses its own data format
for communicating with triple stores, it is necessary to have a connector software
between the two systems. To enable users of SMW to select the triple store most
suitable for their needs, we have implemented a generic triple store connector using
the RDF2Go library [9]. This setup abstracts from the underlying triple store and
makes the storage layer easily exchangeable.
3 Application Context
The work described here has been carried out in the context of the recently started
opendrugwiki project which itself evolved from the drug interaction database Psia-
cOnline1. In PsiacOnline, drug-interaction information in psychiatric treatment has
been collected, uniformly structured, and evaluated by a team of experts in the field
[11]. Transforming this approach in the direction of semantic social software appears
as a logical next step: On the one hand, we expect a large community of interested
experts working in psychiatry to be ready to contribute to this novel method of col-
lecting interaction data. On the other hand, we assume that semantic wikis and the
usage of structured knowledge representation standards are adequate for the given
information and will allow for the answering of complex information needs.
4 Implementation Details
RDF2Go is a Java library developed at the Forschungszentrum Informatik (FZI) in
Karlsruhe providing abstract data access methods to RDF triples stored in a triple
store (“program now, decide on triple store later”2). It uses common adapter classes to
access different triple stores. At the moment, RDF2Go delivers adapter classes for
Jena [12] and Sesame [13] and can easily be extended to other triple stores. Commu-
nication between SMW and the triple store connector is done via SPARQL and the
SPARUL extension [14]. Initial Loading of RDF data from SMW into the triple store
is triggered with a SPARUL LOAD command on part of SMW. The connector han-
dles this event by reading the semantic data directly from SMW’s database tables due
to performance reasons and a missing function for retrieving the wiki’s semantic data
as a whole via HTTP.
Figure 1 shows the overall architecture of our approach: The semantic media wiki
accesses the triple store connector via SPARQL to retrieve query results and via
SPARUL to trigger changes made in the wiki to the triple store. The triple store con-
nector – the core component in our architecture – provides an adequate infrastructure
for receiving commands and returning resulting triples using web service standards.
1 PsiacOnline is an online service offered by SpringerMedizin: http://www.psiac.de
2 Cf. http://semanticweb.org/wiki/RDF2Go and http://rdf2go.semweb4j.org/
Fig. 1. SMW (with Halo Extension [15]) and triple store are connected via the triple store
connector. RDF2Go helps to build triple store adapters for all supported triple stores.
5 Demonstration and Conclusion
For the demonstration of our approach, we will present typical usage scenarios taken
from our application domain, i.e. drug interaction description and retrieval. Besides
showing the feasibility of using an abstract triple store access layer, we also want to
demonstrate how semantic wiki technology can facilitate search in complex structured
medical data.
By making external semantic storage engines for Semantic MediaWiki exchangea-
ble in an easy way, SMW can be conveniently integrated in sophisticated distributed
systems. The wiki’s semantic data can be re-used with other applications much better
since it isn’t limited to the triple store engines which have been implemented so far.
This enables users of SMW to choose a triple store engine which fulfills their individ-
ual needs concerning inference and retrieval of semantic data.
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