Social Ontology Documentation for Knowledge Externalization

Knowledge externalization and organization is a major challenge that companies must face. Also, they have to ask whether is possible to enhance its management. Mechanical processing of information represents a chance to carry out these tasks, as well as to turn intangible knowledge assets into real assets. Machine-readable knowledge provides a basis to enhance knowledge management. A promising approach is the empowering of Knowledge Externalization by the community (users, employees). In this paper, a social semantic tool (called OntoxicWiki) for enhancing the quality of knowledge is presented.Ministerio de Ciencia e Innovación TIN2009-0949

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

An Editorial Workflow Approach For Collaborative Ontology Development

The widespread use of ontologies in the last years has raised new challenges for their development and maintenance. Ontology development has transformed from a process normally performed by one ontology engineer into a process performed collaboratively by a team of ontology engineers, who may be geographically distributed and play different roles. For example, editors may propose changes, while authoritative users approve or reject them following a well defined process. This process, however, has only been partially addressed by existing ontology development methods, methodologies, and tool support. Furthermore, in a distributed environment where ontology editors may be working on local copies of the same ontology, strategies should be in place to ensure that changes in one copy are reflected in all of them. In this paper, we propose a workflow-based model for the collaborative development of ontologies in distributed environments and describe the components required to support them. We illustrate our model with a test case in the fishery domain from the United Nations Food and Agriculture Organisation (FAO)

From Causal History to Social Network in Distributed Social Semantic Software

International audienceWeb 2.0 raises the importance of collaboration powered by social software. Social software clearly illustrated how it is possible to convert a community of strangers into a community of collaborators producing all together valuable content. However, collaboration is currently supported by collaboration providers such as Google, Yahoo, etc. following "Collaboration as a Service (CaaS)" approach. This approach arises privacy and censorship issues. Users have to trust CaaS providers for both security of hosted data and usage of collected data. Alternative approaches including private peer-to-peer networks, friend-to-friend networks, distributed version control systems, distributed peer-to-peer groupware, support collaboration without requiring a collaboration provider. Collaboration is powered with the resources provided by the users. If it is easy for a collaboration provider to extract the complete social network graph from the observed interactions. Obtaining social network informations in the distributed approach is more challenging. In fact, the distributed approach is designed to protect privacy of users and thus makes extracting the whole social network difficult. In this paper, we show how it is possible to compute a local view of the social network on each site in a distributed collaborative system approach

Data Consistency for P2P Collaborative Editing

http://portal.acm.org/Peer-to-peer (P2P) networks are very efficient for distributing content. We want to use this potential to allow not only distribution but collaborative editing of this content. Existing collaborative editing systems are centralised or depend on the number of sites. such systems cannot scale when deployed on P2P networks. In this paper, we propose a new model for building a collaborative editing system. This model is fully decentralised and does not depend on the number of sites

prototypical implementations

In this technical report, we present prototypical implementations of innovative tools and methods developed according to the working plan outlined in Technical Report TR-B-09-05 [23]. We present an ontology modularization and integration framework and the SVoNt server, the server-side end of an SVN- based versioning system for ontologies in the Corporate Ontology Engineering pillar. For the Corporate Semantic Collaboration pillar, we present the prototypical implementation of a light-weight ontology editor for non-experts and an ontology based expert finder system. For the Corporate Semantic Search pillar, we present a prototype for algorithmic extraction of relations in folksonomies, a tool for trend detection using a semantic analyzer, a tool for automatic classification of web documents using Hidden Markov models, a personalized semantic recommender for multimedia content, and a semantic search assistant developed in co-operation with the Museumsportal Berlin. The prototypes complete the next milestone on the path to an integral Cor- porate Semantic Web architecture based on the three pillars Corporate Ontol- ogy Engineering, Corporate Semantic Collaboration, and Corporate Semantic Search, as envisioned in [23]

A Comparison of Optimistic Approaches to Collaborative Editing of Wiki Pages

Wikis, a popular tool for sharing knowledge, are basically collaborative editing systems. However, existing wiki systems offer limited support for co-operative authoring, and they do not scale well, because they are based on a centralised architecture. This paper compares the well-known centralised MediaWiki system with several peer-to-peer approaches to editing of wiki pages: an operational transformation approach (MOT2), a commutativity-oriented approach (WOOTO) and a conflict resolution approach (ACF). We evaluate and compare them, according to a number of qualitative and quantitative metrics

Synchronizing Semantic Stores with Commutative Replicated Data Types

International audienceSocial semantic web technologies led to huge amounts of data and information being available. The production of knowledge from this information is challenging, and ma- jor efforts, like DBpedia, has been done to make it reality. Linked data provides interconnection between this informa- tion, extending the scope of the knowledge production. The knowledge construction between decentralized sources in the web follows a co-evolution scheme, where knowledge is generated collaboratively and continuously. Sources are also autonomous, meaning that they can use and publish only the information they want. The updating of sources with this criteria is intimately related with the problem of synchronization, and the consis- tency between all the replicas managed. Recently, a new family of algorithms called Commutative Replicated Data Types have emerged for ensuring eventual consistency in highly dynamic environments. In this paper, we define SU-Set, a CRDT for RDF-Graph that supports SPARQL Update 1.1 operations