There is an obvious shift of focus towards the Web, as people spend more of their time and store more of their data online. However, the desktop still handles a large amount of the personal data. The Semantic Desktop brings semantics to the desktop, better interlinking and organization of the data, thus allowing better management. However, in spite of common representation formats, personal and...

A good understanding of a user’s (working) contexts provides the basis for improved desktop information management, as well as for personalized desktop and Web search. We propose to combine a variety of evidences found by analyzing desktop information for inferring the user’s working contexts, and more specifically infer file-to-context assignment using a Bayesian Network. Our preliminary exper...

Semantic technologies are available, and gain popularity on the Web as well as on the desktop, but both (desktop and Web) act as large data silos, making personal and online data difficult to interlink. We propose a system that enables easy publishing of personal notes as linked social media content, while at the same time semantically enriching the desktop resources with information retrieved ...

In this demo description, we present Konduit, a desktopbased platform for visual programming with RDF data. Based on the idea of the semantic desktop, non-technical users can create, manipulate and mash-up RDF data with Konduit, and thus generate simple applications or workflows, which are aimed to simplify their everyday work by automating repetitive tasks. The platform allows to combine data ...

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 ...

The current experiments on personalization in information retrieval are limited to the available collections of the real world data. While a number of publications exploited user interaction with Desktop, often these experiments are neither repeatable nor comparable. In this paper we elaborate on the need for logging the Desktop activity data and creating a common collection for Desktop search ...

The recently arrived desktop search applications are weaker than their web siblings as they cannot rely on PageRank-like ranking methods which have revolutionized web search, since the documents are not well connected on the desktop. The general aim of this thesis proposal is to discuss how to enhance and contextualize desktop search based on semantic metadata collected from different contexts ...

Advancing the user experience on the open-source desktop depends upon creating standards for applications to interact with each other and the desktop environment so that applications created with different toolkits operate correctly with any desktop. The XSETTINGS protocol provides a simple example of some of the techniques and considerations that come into play for such standards. It provides ...

Large scale loosely coupled PCs can organize clusters and form desktop computing grids on sharing each processing power; power of PCs, transaction distributions, network scales, network delays, and code migration algorithms characterize the performance of the computing grids. This article describes the design methodologies of workload management in distributed desktop computing grids. Based on ...

This paper discusses the emerging trend of Personal Desktop Searching utilities on desktop PCs, and how the information cached and stored with these systems can be retrieved and analysed, even after the original document has been removed. Focusing on the free Google Desktop Search program, this paper first analyses how the program operates, the processes involved, files created and altered, and...