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Semantic Search on Heterogeneous Wiki Systems - poster
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Semantic Search on Heterogeneous Wiki Systems - poster

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  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.

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