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Multi-synchronous Collaborative Semantic Wikis

DSMW is an extension of Semantic Media Wikis that allows for multi-synchronous editing, isolated work, and transactional changes. It ensures consistency, supports dataflows, and stores data as semantic pages in an ontology.

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Multi-synchronous Collaborative Semantic Wikis

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  1. Charbel Rahhal, Hala Skaf-Molli, Pascal Molli, Stéphane Weiss Inria Nancy-Grand Est Nancy University, France Pascal Molli Multi-synchronous Collaborative Semantic Wikis

  2. Context • Wikis are emblematic of the Web 2.0 • It is a collaborative tool : • The web is a Read/Write space • Web content is built by users : they produce, but they also communicate and coordinate through the wiki • It is a social tool : • it transforms community of strangers into a community of collaborators • And wikipedia is really amazing...

  3. Semantic wikis • Next, semantic queries can be performed: • [[LocatedIn::Europe]][[HasCapital::Paris]] • Return the semantic wiki page « France ». • Wikis can be used as knowledge base used by humans and computers...

  4. Problems • As a collaborative editing tool, wikis does not support Multi-synchronous editing • [Dourish95] : Working activities proceed in parallel(multiple streams of activity), during which time the participants are disconnected (divergence occurs); and periodically their individual efforts will be integrated (synchronization) in order to achieve a consistent state and progress the activity of the group". • From a single semantic wiki server to a network of semantic wiki server

  5. A real problem ? Yes especially for semantic wikis... • No transactional change support : Impossible to change several semantic wiki pages atomically • Semantic wikis restructuration requires to change many pages atomically • Intermediate state are visible to users and reasonners ! • No process support: • How to implement a simple edit/review/publish process ? • Semantic wikis allow to build ontology, quality of the ontology is dependant of the process used to build this ontology.

  6. How to provide multi-synchronous editing into semantic wikis ? • It is enough to manage semantic pages with Distributed Version Control Systems such as Git, Mercurial, Bazaar... • No : • DVCS do not currently support Semantic data types • DVCS only ensure Causality, • CSCW researchers demonstrated that Causality, Convergence and Intentions are required for collaborative editing • as in google wave for example.

  7. Our approach : DSMWDistributed Semantic Media Wiki • Build the multi-synchronous editing feature directly inside an existing semantic wiki (SMW) • Multi-synchronous means: • A network a semantic wikis servers (DSMW nodes) • An update is produced on one server • It is broadcasted to other servers • Others servers receives and re-execute it • The system (all network) is correct if it ensures CCI consistency.

  8. DSMW approach • The broadcast is based on the publish/subscribe model • Server administrators can choose what they publish • Server administrators can choose what they consume • Correctness is based on the Logoot algorithm (ICDCS09). • Logoot ensure CCI if broadcast ensures causality. We proved (in the paper) this is true, with our publish/subscribe mechanism.

  9. DSMW ontology • All elements are represented using Semantic wiki pages : available for requests...

  10. How it works ? 2 pages with [[is in::tutorial]] annotations [[isin::tutorial]]

  11. Create your feeds

  12. Paches are semantics wikis pages

  13. Now subscription and pull from another DSMW node...

  14. Now you can make your own dataflows

  15. Conclusion • DSMW is an extension of SMW in order to allow multi-synchronous editing • Isolated work and Transactional changes • Dataflows • DSMW = SMW + Logoot + publish/subscribe • DSMW ensures CCI consistency • DSMW stores its data as semantic pages in an ontology: • Allows requests on pages and history of pages, exports... • LGPL : https://dsmw.org (in construction...)

  16. Perspectives • Use the ontology of DSMW to compute new metrics for awareness • Compute existing divergence metrics • Compute new ones specific to fully decentralized work

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