Peer-to-peer Semantic wikis - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 2008

Peer-to-peer Semantic wikis

Hala Skaf
Charbel Rahhal
  • Function : Author
  • PersonId : 842038
Pascal Molli


This paper presents SWOOKI the first peer-to-peer semantic wiki. A P2P semantic wiki combines advantages of both semantic wikis and P2P Wikis. A P2P semantic wiki network is composed of a set of interconnected autonomous servers that can dynamically join and leave the network. It is a truly decentralized unstructured P2P system which does not require any central coordination or knowledge. It relies on a symmetric communication model where every peer may act as both a server and a client. Every peer hosts a replica of shared data. The total replication improves data availability and performance. It allows to query and access data locally without any data transfer. Furthermore, it enables offff-line works and transactional changes. A replicated groupware system is correct if it maintains the convergence, causality preservation and intention preservation. The CCI correction model is widely defined for linear structures i.e. text. None of the exiting synchronization algorithms takes in consideration a mix of text and semantic data as the case of semantic wikis. This paper defines a data model for P2P semantic wikis and its associated editing operations. It defines also the intentions of the operations of this new data type. The paper extends the WOOTO algorithm to synchronize and ensure the CCI model for this new data type. The algorithm is implemented in a fully operational system.
Fichier principal
Vignette du fichier
RR-6714.pdf (514.11 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00336680 , version 1 (04-11-2008)


  • HAL Id : inria-00336680 , version 1


Hala Skaf, Charbel Rahhal, Pascal Molli. Peer-to-peer Semantic wikis. [Research Report] RR-6714, INRIA. 2008, pp.31. ⟨inria-00336680⟩
147 View
131 Download


Gmail Facebook Twitter LinkedIn More