1. Semantic Search on Heterogeneous Wiki Systems
Fabrizio Orlandi, Alexandre Passant
Abstract Our Contributions Results
We developed a system to enable In total, we collected about 1GB of RDF
semantic search across heterogeneous A common semantic model for data and loaded it in the Sesame RDF
wikis in a unified way using Semantic representing wiki structure and store. The total number of triples is
Web technologies. In particular: contributions in RDF - Resource around 45,500, with 3,400 wiki articles
I) we designed a common model for Description Framework - and 700 users.
representing social and structural wiki encompassing previous models in Results for every query are returned in
features; the area less than 3 seconds, and the system is
II) we extracted semantic data from
Pages versioning model with SIOC properties. Please note that transitive
properties earlier_version and later_version are only displayed for
capable to reply to queries like:
the latest and the first wiki article.
wikis using two relevant wiki engines; “What are the co-authors of user X and
III) we built and efficient application on which articles they collaborate?”
with a simple user-interface enabling Various data exporters for popular
“What are the topics and the wiki sites
semantic searching and browsing wiki systems, translating wiki
the user X contributed most in the past
capabilities on the top of different information in RDF annotations (based
six months?”
interlinked wikis. on our model) in real-time: a
webservice for MediaWiki's wikis and
a plug-in for DokuWiki
Conclusion
Despite its clean interface, the
Activity diagram of the SIOC-MediaWiki webservice exporter
presented application allows for
advanced and fast querying
processes and hidden knowledge
discovery, showing potentialities that
A semantic search engine which
cannot be obtained using the
provides means to retrieve
traditional Web 2.0 instruments. Hence
information contained in
we showed an overall benefit on
heterogeneous wikis in a novel and
applying Semantic Web technologies to
user-friendly way.
wikis, enabling users to access the
It allows for semantic searching information generated by this process
and faceted browsing capabilities in a simple and transparent way.
on the top of the collected data
References
• F. Orlandi, A. Passant, “Enabling cross-wikis integration by
extending the SIOC ontology”, In Proceedings of the Fourth
Motivations Workshop on Semantic Wikis (SemWiki2009).
• F. Orlandi, “Using and extending the SIOC ontology
Wikis are widely used both on the Web - with well-known systems such as the Wikipedia - and in the workplace, for instance for project management for a fine-grained wiki modeling”, Master's thesis, 2009.
or customer relationships. However, each wiki system relies on its own data structure and API to model its data and let developers access it. They act
as isolated systems, where information from one system cannot be easily integrated with information from another one. This introduces several Acknowledgements
drawbacks when users need to access information on the Web or in the enterprise. We propose an approach based on Semantic Web technologies The work presented in this poster has been funded in part by
and Linked Data principles to solve such issues and to enable semantic search across heterogeneous wiki systems. Science Foundation Ireland under Grant No.
SFI/08/CE/I1380 (Líon-2) and by an IRCSET Scholarship.