Alexandre Passant

A URI is worth a thousand tags: From tagging to linked data with MOAT

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.

Enhancing Enterprise 2.0 Ecosystems Using Semantic Web and Linked Data Technologies:The SemSLATES Approach

During the past few years, various organisations embraced the Enterprise 2.0 paradigms, providing their employees with new means to enhance collaboration and knowledge sharing in the workplace. However, while tools such as blogs, wikis, and principles like free-tagging or content syndication allow user-generated content to be more easily created and shared in the enterprise, in spite of some social issues, these new practices lead to various problems in terms of knowledge management. In this chapter, we provide an approach based on Semantic Web and Linked Data technologies for (1) integrating heterogeneous data from distinct Enterprise 2.0 applications, and (2) bridging the gap between raw text and machine-readable Linked Data. We discuss the theoretical background of our proposal as well as a practical case-study in enterprise, focusing on the various add-ons that have been provided to the original information system, as well as presenting how public Linked Open Data from the Web can be used to enhance existing Enterprise 2.0 ecosystems.

Applications of Semantic Web Methodologies and Techniques to Social Networks and Social Websites

One of the most visible trends on the Web is the emergence of Social Web sites which facilitate the creation and gathering of knowledge through the simplification of user contributions via blogs, tagging and folksonomies, wikis, podcasts, and the deployment of online social networks. The Social Web has enabled community-based knowledge acquisition with efforts like the Wikipedia demonstrating the wisdom of the crowds in creating the worlds largest online encyclopaedia. Although it is difficult to define the exact boundaries of what structures or abstractions belong to the Social Web, a common property of such sites is that they facilitate collaboration and sharing between users with low technical barriers, although usually on single sites. As more social websites form around the connections between people and their objects of interest, and as these object-centred networks grow bigger and more diverse, more intuitive methods are needed for representing and navigating the content items in these sites: both within and across social websites. Also, to better enable user access to multiple sites, interoperability among social websites is required in terms of both the content objects and the person-to-person networks expressed on each site. This requires representation mechanisms to interconnect people and objects on the Social Web in an interoperable and extensible way. The Semantic Web provides such representation mechanisms: it can be used to link people and objects by representing the heterogeneous ties that bind us all to each other (either directly or indirectly). In this paper, we will describe methods that build on agreed-upon Semantic Web formats to describe people, content objects, and the connections that bind them together explicitly or implicitly, enabling social websites to interoperate by appealing to some common semantics. We will also focus on how developers can use the Semantic Web to augment the ways in which they create,reuse, and link content on social networking sites and social websites.

Combining Structure and Semantics for Ontology-Based Corporate Wikis

While wikis offer new means to collaboratively build, organize and share knowledge in organizations, such knowledge cannot be easily understood by computers in a query answering or reusability process. This paper details the features and architecture of a wiki-farm system that combines structure and semantics in order to collaboratively produce ontology-based data and immediately reuse it in wiki pages to enrich browsing and querying capabilities of the system.

Proceedings of the 1st International Workshop on Engineering Semantic Enterprise (ESE) 2012

Two main trends emerged in the enterprise in the past years. On one hand, Web 2.0 tools such as blogs, microblogs and wikis for enterprise-scale collaboration and information management became widely used for information management, leading to a move to Enterprise 2.0. At the same time, Semantic Web technologies have emerged allowing enterprise users to transparently provide structured and meaningful data in the enterprise thanks to vocabularies representing social data. These technologies enhance information management and sharing with an enterprise, leading to the Social Semantic Enterprise, where both Semantic Web technologies and Social Web principles converge. Although the adoption of the Semantic Web technologies in enterprises is growing very fast, some major challenges related to their exploitation in enterprises remain, including personalization, near real-time integration or scalability. For this workshop, we have selected four papers that addressed the above topics.