For the canon of important works of art, lots of information is available on the Internet. Diff erent Web platforms exist that show artworks with additional information and an Art historical description. While this information is suitable for experts in Art history, users without this expert knowledge may nd this information hard to access because of a vocabulary mismatch between experts and laypersons. In order to allow users with di erent expertise to communicate and comprehend Art in their own vocabulary we have created the explorARTorium (www.explorARTorium.info), which visu-alises artworks in context and allows users to browse along diff erent narratives. The explorARTorium also o ers the possibility to annotate artworks. We have therefore collected a Folksonomy about artworks. Applying Data Mining algorithms on this Folksonomy, we show that the reproduction of Art historical facts is possible. Moreover, we are able to analyse the extent of Art historical knowledge among people of the 21st century.
In this paper we present an approach to improving navigability of a hierarchically structured Web encyclopedia. The approach is based on an integration of a tagging module and adoption of tag clouds as a navigational aid in such a system. The main idea of this approach is to apply tagging for the purpose of a better highlighting of cross-references between information items across the hierarchy. Although in principle tag clouds have the potential to support efficient navigation in tagging systems, recent research identi ed a number of limitations. In particular, applying tag clouds within pragmatic limits of a typical user interface leads to poor navigational performance as tag clouds are vulnerable to a so-called pagination e ect. In this paper, a possible solution to the pagination problem is discussed. In addition, the paper presents a first implementation prototype developed within an Austrian online encyclopedia called Austria-Forum.
Digitally supported knowledge work, using tags for content organization, creates inherent challenges. In this paper we show the design of a corporate tagging framework facing these challenges. We describe the implementation of a thesaurus approach as a lightweight alternative to a more sophisticated ontology design. An RDF based architecture with a Web 2.0 style editor enables average users to enrich social tagging data with semantic relations.
There are plenty of projects aimed at incorporating semantic information into present day document processing. The main problem is their real-world usability. E-learning is one of the areas which can take advantage of the semantically described documents. In this paper we would like to introduce a framework of cooperating tools which can help extract, store, visualize semantics in this area.
The quality of the current tagging services can be greatly improved if the service is able to cluster tags by their meaning. Tag clouds clustered by higher level topics enable the users to explore their tag space, which is especially needed when tag clouds become large. We demonstrate TagCluster – a tool for automated tag clustering that harnesses knowledge from Wikipedia about semantic relatedness between tags and names of categories to achieve smart clustering. Our approach shows much better quality of clusters compared to the existing techniques that rely on tag co-occurrence analysis in the tagging service.
The importance of comprehensive annotations for learning resources is widely recognized. However, it is often unclear how these annotations should be created. A promising solution might be that learners annotate learning resources during execution of learning processes. This paper examines tagging as a learner-driven approach that can be used to get annotations on a collaborative level. The characteristics of learner-generated annotations in learning scenarios and the applicability of these annotations to describe learning resources are investigated. As empirical grounding, the results of three independent experiments are presented in order to inform decisions concerning the establishment of stitutionalized settings deploying tagging approaches.
In today’s information environments, tagging is widely used to provide informationabout arbitrary types of digital resources. This information is created by end users with different motivations and for different kinds of purposes. When aiming to support users in the tagging process, these differences play an important role. This paper discusses several approaches to generate tag recommendations, and a prototypical recommender system for the social resource sharing platform ALOE will be presented.
This interactive system allows users to control the generation of the recommendations by selecting the sources to be used as well as their impact. The component was introduced at DFKI, and a first evaluation showed that the recommender component was considered as helpful by a majority of users.
Story-telling has been a means of bequeathing knowledge since aeons. Whereas the idea of the story-telling remains unaltered, the world around undertakes continuous changes. New media, new technologies and devices, new ways of communication define a new format of the story-telling. This paper proposes a new non-linear version of mobile story-telling in the emerging ubiquity of knowledge sharing. To support our concept we provide a description of multimedia services based on the MPEG-7 metadata standard used for our non-linear mobile story-telling environment.
The concept of co-production was originally introduced by political science to explain citizen participation in the provision of public goods. The concept was quickly adopted in business research targeting the question how users could be voluntarily integrated into industrial production settings to improve the development of goods and services on an honorary basis. With the emergence of Social Software and web-based collaborative infrastructures the concept of co-production gains importance as a theoretical framework for the collaborative production of web content and services. Current research in human computation has adopted the concept for the semantic enrichment of web content by collaborative tagging. This article argues that co-production is a powerful concept, which helps to explain the emergence of user generated content and the partial transformation of orthodox business models in the content industries.
Today, most computer users work with traditional hierarchical file systems for organizing large amounts of personal files. Recently, tagging has grown popular as
an alternative means of organizing information resources. We argue that tagging is a powerful paradigm for efficient information access which overcomes many deficiencies of hierarchical file systems, especially in the context of the organization of large quantities of personal files. In this paper we present TagFS, a filesystem with tagging support which aims at a seamless integration of the tagging paradigm with local applications. While retaining the notions of directories and files and providing all standard filesystem operations, the semantics of these primitives are changed to modifications of the tag annotations.