Querying and reasoning for social semantic software

Computer, 2000

The combination of semantic technologies and social software has become more and more popular in the last few years as can be seen by the emergence of Semantic Wikis or the popularity of vocabularies such as FOAF or SIOC. The KiWi project is based upon these principles and offers features required for Social Media applications such as versioning, (semantic) tagging, rich text editing, easy linking, rating and commenting, as well as advanced "smart" services such as recommendation, rule-based reasoning, information extraction, intelligent search and querying, a sophisticated social reputation system, vocabulary management, and rich visualization. KiWi can be used both, as a platform for building custom Semantic Media applications, and as a Semantic Social Index, integrating content and data from a variety of different sources, e.g. Wikis, blogs and content management systems in an enterprise internet. Third-party applications can access the KiWi System using simpleto-use web services. The demo presents the whole functionality of the Open Source development platform KiWi in its final version within one integrated project management scenario. Furthermore it shows different KiWi-based Social Media projects to illustrate its various fields of application.

Proceedings of the 20th …, 2009

2014

Finding relevant information in a social networking site has been a long time problem. The purpose of this research is to use Semantic Web Tools & Technologies to find a way to represent and process web information such that user queries can be better answered. We often want to search about a person or a group but land up with either a lot of information or no information at all. As a result of this we have to manually process the result to find the best or the most relevant answer.

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015

Informal learning at the workplace includes a multitude of processes. Respective activities can be categorized into multiple perspectives on informal learning, such as reflection, sensemaking, help seeking and maturing of collective knowledge. Each perspective raises requirements with respect to the technical support, this is why an integrated solution relying on social, adaptive and semantic technologies is needed. In this paper, we present the Social Semantic Server, an extensible, open-source application server that equips clientside tools with services to support and scale informal learning at the workplace. More specifically, the Social Semantic Server semantically enriches social data that is created at the workplace in the context of user-to-user or user-artifact interactions. This enriched data can then in turn be exploited in informal learning scenarios to, e.g., foster help seeking by recommending collaborators, resources, or experts. Following the design-based research paradigm, the Social Semantic Server has been implemented based on design principles, which were derived from theories such as Distributed Cognition and Meaning Making. We illustrate the applicability and efficacy of the Social Semantic Server in the light of three real-world applications that have been developed using its social semantic services. Furthermore, we report preliminary results of two user studies that have been carried out recently. CCS Concepts •Information systems → Collaborative and social computing systems and tools;

IEEE Software, 2008

Semantic Wikis" combine properties of Wikis (like ease of use, collaboration, linking) with Semantic Web technology (like structured content, knowledge models in form of ontologies, reasoning). Recently, Semantic Wikis have gained considerable attention, as they connect "social intelligence" and "artificial intelligence", support the user in ways that are not available in normal wikis, and allow an easy introduction to novel Semantic Web technologies, which are arguably still hard to grasp in other areas. The aim of this article is to give an overview over the topic "Semantic Wikis". We give particular focus to application fields and briefly compare selected systems based on their different approaches.

Web Semantics: Science, Services and Agents on the World Wide Web, 2008

Lecture Notes in Business Information Processing, 2014

This paper describes several results of Wimmics, a research lab which names stands for: web-instrumented man-machine interactions, communities, and semantics. The approaches introduced here rely on graph-oriented knowledge representation, reasoning and operationalization to model and support actors, actions and interactions in web-based epistemic communities. The research results are applied to support and foster interactions in online communities and manage their resources.

2008

The concepts Social Software and Web 2.0 were coined to characterize a variety of (sometimes minimalist) services on the Web, which rely on social interactions to determine additions, annotations, or corrections from a multitude of potentially minor user contributions. Non-profit, collaboration-centered projects such as the free encyclopedia Wikipedia belong to this class of services, as well as commercial applications that enable users to publish, classify, rate and review objects of a certain content type.

Web Semantics: Science, Services and Agents on the World Wide Web, 2008

Everyone agrees that user interactions and social networks are among the cornerstones of "Web 2.0". Web 2.0 applications generally run in a web browser, propose dynamic content with rich user interfaces, offer means to easily add or edit content of the web site they belong to and present social network aspects. Well-known applications that have helped spread Web 2.0 are blogs, wikis, and image/video sharing sites; they have dramatically increased sharing and participation among web users. It is possible to build knowledge using tools that can help analyze users' behavior behind the scenes: what they do, what they know, what they want. Tools that help share this knowledge across a network, and that can reason on that knowledge, will lead to users who can better use the knowledge available, i.e., to smarter users. Wikipedia, a wildly successful example of web technology, has helped knowledge-sharing between people by letting individuals freely create and modify its content. But Wikipedia is designed for people-today's software cannot understand and reason on Wikipedia's content. In parallel, the "semantic web", a set of technologies that help knowledge-sharing across the web between different applications, is starting to gain attraction. Researchers have only recently started working on the concept of a "semantic wiki", mixing the advantages of the wiki and the technologies of the semantic web. In this paper we will present a state-of-the-art of semantic wikis, and we will introduce SweetWiki, an example of an application reconciling two trends of the future web: a semantically augmented web and a web of social applications where every user is an active provider as well as a consumer of information. SweetWiki makes heavy use of semantic web concepts and languages, and demonstrates how the use of such paradigms can improve navigation, search, and usability.