TL;DR: The requirements and functionalities that were identified for a useful Semantic Desktop system are outlined and an architecture that fulfills these requirements is presented which was acquired by incremental refinement of the architecture of existing Semantic desktop prototypes.
Abstract: This paper introduces the NEPOMUK project which aims to create a standard and reference implementation for the Social Semantic Desktop. We outline the requirements and functionalities that were identified for a useful Semantic Desktop system and present an architecture that fulfills these requirements which was acquired by incremental refinement of the architecture of existing Semantic Desktop prototypes. The NEPOMUK project is primarily motivated by three real-life industrial use-cases, we briefly outline these and the processes used to extract required functionalities from the people working in these areas today, and we present a selection of typical tasks where the Semantic Desktop could be of benefit.
TL;DR: This whitepaper presents a vision of a new group collaboration infrastructure, the Social Semantic Desktop, drawing from co-evolving research in the Semantic Web, Peer-to-Peer (P2P) Networks, and Online Social Networking.
Abstract: This whitepaper we vision of a new group collaboration infrastructure, the Social Semantic Desktop, drawing from co-evolving research in the Semantic Web, Peer-to-Peer (P2P) Networks, and Online Social Networking. The Social Semantic Desktop is a novel collaboration environment, enabling the creation, sharing and deployment of data and metadata.
TL;DR: This paper investigates how to extract and store activity based context information explicitly as RDF metadata and how to use them, as well as additional background information and ontologies, to enhance desktop search.
Abstract: With increasing storage capacities on current PCs, searching the World Wide Web has ironically become more efficient than searching one's own personal computer. The recently introduced desktop search engines are a first step towards coping with this problem, but not yet a satisfying solution. The reason for that is that desktop search is actually quite different from its web counterpart. Documents on the desktop are not linked to each other in a way comparable to the web, which means that result ranking is poor or even inexistent, because algorithms like PageRank cannot be used for desktop search. On the other hand, desktop search could potentially profit from a lot of implicit and explicit semantic information available in emails, folder hierarchies, browser cache contexts and others. This paper investigates how to extract and store these activity based context information explicitly as RDF metadata and how to use them, as well as additional background information and ontologies, to enhance desktop search.
TL;DR: A new semantic desktop system called IRIS, an application framework for enabling users to create a -personal map" across their office-related information objects, is introduced.
Abstract: In this paper we introduce a new semantic desktop system called IRIS, an application framework for enabling users to create a -personal map" across their office-related information objects. Built as part of the CALO Cognitive Assistant project, IRIS represents a step in our quest to construct the kinds of tools that will significantly augment the user's ability to perform knowledge work. This paper explains our design decisions, progress, and shortcomings. The IRIS project has grown from the past work of others and offers opportunities to augment and otherwise collaborate with other current and future semantic desktop projects. This paper marks our entry into the ongoing conversation about semantic desktops, intelligent knowledge management, and systems for augmenting the performance of human teams.
TL;DR: This paper presents the vision of the Semantic Desktop – a Semantic Web enhanced desktop environment that takes know-how from theSemantic Web to tackle personal information management and will enable us to create tools for information management faster and cheaper.
Abstract: To integrate office appliances, there are different standards, consisting of data formats and communication protocols The WWW and Semantic Web standards are already designed for worldwide integration and can be transferred to office integration We present our vision of the Semantic Desktop – a Semantic Web enhanced desktop environment Central is the idea of taking know-how from the Semantic Web to tackle personal information management The architecture is based on a Semantic Web Server running as Desktop service Existing desktop applications (email client, browser, office applications) are integrated The semantic glue between them is expressed with ontologies This architecture will enable us to create tools for information management faster and cheaper Based on the local Semantic Desktop Servers, teams of knowledge workers can set up peer-to-peer connections Distributed Organisational Memories can be based on Semantic Desktops The gnowsis framework is an open source project led by the DFKI that realizes parts of this vision Gnowsis was used to test our ideas and allow others to experiment