Distributed Semantic Wiki: Kolflow Project -Task 5- State of the art (D5.1)

This paper presents the state of the art on Distributed Semantic Wikis. This work is part of the Kolflow project, more precisely it is part of the task 5, {\bf D(5.1)}

Efficient Query Processing for SPARQL Federations with Replicated Fragments

Low reliability and availability of public SPARQL endpoints prevent real-world applications from exploiting all the potential of these querying infras-tructures. Fragmenting data on servers can improve data availability but degrades performance. Replicating fragments can offer new tradeoff between performance and availability. We propose FEDRA, a framework for querying Linked Data that takes advantage of client-side data replication, and performs a source selection algorithm that aims to reduce the number of selected public SPARQL endpoints, execution time, and intermediate results. FEDRA has been implemented on the state-of-the-art query engines ANAPSID and FedX, and empirically evaluated on a variety of real-world datasets

P2P InterCoop: P2P-based Decentralised Inter-organizational Cooperation - Motivations and Requirements

As the global marketplace becomes more and more competitive, corporations often need to cooperate in order to utilize the best of their resources for achieving their common business goals. This kind of collaboration gives a corporation a possibility to use the capabilities of their business partners that they do not currently have. In addition, mergers, acquisitions, alliances, and market demands are some of the reasons why companies have distributed work across geographically separated sites. Although P2P systems are emerging as a new form of distributed architecture, the centralized architecture of the existing collaborative environments has major drawbacks. This paper presents a new architecture called P2P InterCoop for supporting distributed cooperative work; it identifies basic requirements, advantages and limitations

Safe Generic Data Synchronizer

Rapport interne.Reconciliating divergent data is an important issue in concurrent engineering, mobile computing and software configuration management. Actually, a lot of synchronizers or merge tools perform reconciliations, however, which strategy they apply ? is it correct ? In this paper, we propose to use a transformational approach to build a safe generic data synchronizer

BlueFinder: Recommending Wikipedia Links Using DBpedia Properties

International audienceDBpedia knowledge base has been built from data extracted from Wikipedia. However, many existing relations among resources in DBpedia are missing links among articles from Wikipedia. In some cases, adding these links into Wikipedia will enrich Wikipedia content and therefore will enable bet- ter navigation. In previous work, we proposed PIA algorithm that predicts the best link to connect two articles in Wikipedia corresponding to those related by a semantic property in DB- pedia and respecting the Wikipedia convention. PIA calcu- lates this link as a path query. After introducing PIA results in Wikipedia, most of them were accepted by the Wikipedia community. However, some were rejected because PIA pre- dicts path queries that are too general. In this paper, we report the BlueFinder collaborative filtering algorithm that fixes PIA miscalculation. It is sensible to the specificity of the resource types. According to the conducted experimentation we found out that BlueFinder is a better solution than PIA because it solves more cases with a better recall

Inconsistency of XML Documents during Cooperative Editing

XML-based file format must be validated against its DTD in order to be visualised. In cooperative editing, the replication of XML documents in different sites allows to ameliorate the availability of data. After the reconciliation of the different replicas of the initial document, it is possible that the result of the merging does not validate the DTD. This means that it is not possible to open the document with the tool that edits it. To overcome this problem, we propose an automatic repairing approach in order to re-establish the consistency of XML documents

Multi-synchronous Collaborative Semantic Wikis

Semantic wikis have opened an interesting way to mix Web 2.0 advantages with the Semantic Web approach. However, compared to other collaborative tools, wikis do not support all collaborative editing mode such as offline work or multi-synchronous editing. The lack of multi-synchronous supports in wikis is a problematic, especially, when working with semantic wikis. In these systems, it is often important to change multiple pages simultaneous in order to refactor the semantic wiki structure. In this paper, we present a new model of semantic wiki called Multi-Synchronous Semantic Wiki (MS2W). This model extends semantic wikis with multi-synchronous support that allows to create a P2P network of semantic wikis. Semantic wiki pages can be replicated on several semantic servers. The MS2W ensures CCI consistency on these pages relying on the Logoot algorithm

Supporting Collaborative Writing of XML Documents

Data management is a key issue in cooperative systems. Anyone who uses more than one computer or collaborates with other people is aware of the problems posed by having multiple copies of shared documents. Most existing synchronization tools are specific to a particular type of shared data i.e. text files, calendars, XML files. Therefore, user should use several tools to maintain their different copies up-to-date. This is not an easy task. To address this issue, we defined a generic synchronization framework based on the operational transformation approach. This framework allows to synchronise text files, calendars, XML files by using the same tool. The main objective of this paper is to present this framework and how it is used to support cooperative writing of XML document. An implementation is illustrated through the revision control system called So6, which is a part of a distributed collaborative technology called LibreSource

Wiki sémantique sur un réseau pair-à-pair

A semantic wiki on Peer-to-peer network is a collaborative editing tool that combines the advantages of P2P systems and Semantic Web. Integrating Semantic Web technologies in a wiki ameliorates the structuring of the wiki, the navigation between the pages and information research. The P2P architecture allows scalability, fault tolerance, disconnected work and improves the system performance.National audienceUn wiki sémantique sur réseau pair-à-pair est un outil d'édition collaborative combinant les avantages des systèmes pair-à-pair et du Web sémantique. L'intégration des technologies du Web sémantique dans un Wiki améliore la structuration des pages wiki, la navigation entre ses pages et la recherche d'information. L'architecture P2P permet un passage à l'échelle, une amélioration des performances, une résistance aux pannes et le travail déconnecté