The Social Semantic Desktop

Bernardi, Ansgar; Decker, Stefan; Elst, Ludger van; Grimnes, Gunnar Aastrand; Groza, Tudor; Handschuh, Siegfried; Jazayeri, Mehdi; Mesnage, Cédric; Möller, Knud; Reif, Gerald; Sintek, Michael; Sauermann, Leo

doi:10.4018/978-1-60566-112-4.ch012

Cited by 8 publications

(1 citation statement)

References 19 publications

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“…The closest effort to ours was the one of Brunkhorst et al [11]. In their Beagle++ search engine, developed in the larger context of the NEPOMUK Semantic Desktop [12], the authors also perform metadata extraction from scientific publications, but limited to title and authors.…”

Section: Related Workmentioning

confidence: 99%

Bridging the Gap between Linked Data and the Semantic Desktop

Groza

Drăgan

Handschuh

et al. 2009

Lecture Notes in Computer Science

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Abstract. The exponential growth of the World Wide Web in the last decade brought an explosion in the information space, which has important consequences also in the area of scientific research. Finding relevant work in a particular field and exploring the links between publications is currently a cumbersome task. Similarly, on the desktop, managing the publications acquired over time can represent a real challenge. Extracting semantic metadata, exploring the linked data cloud and using the semantic desktop for managing personal information represent, in part, solutions for different aspects of the above mentioned issues. In this paper, we propose an innovative approach for bridging these three directions with the overall goal of alleviating the information overload problem burdening early stage researchers. Our application combines harmoniously document engineering-oriented automatic metadata extraction with information expansion and visualization based on linked data, while the resulting documents can be seamlessly integrated into the semantic desktop.

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Section: Related Workmentioning

confidence: 99%

Bridging the Gap between Linked Data and the Semantic Desktop

Groza

Drăgan

Handschuh

et al. 2009

Lecture Notes in Computer Science

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

Passant

Laublet²,

Breslin

et al. 2010

Linking Enterprise Data

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The Personal Knowledge Workbench of the NEPOMUK Semantic Desktop

Grimnes

Sauermann

Bernardi

2009

Lecture Notes in Computer Science

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Abstract. In this paper we describe some of the personal information management features found in the PSEW prototype of the NEPO-MUK Semantic Desktop project. Focussing on importing and adding new knowledge to the system as well as navigating, browsing, and searching the existing knowledge we show how a user can use NEPOMUK to integrate her information across application boundaries and create and discover new structures in her information space. The NEPOMUK Semantic DesktopThe paper presents parts of the outcome of the now completed NEPOMUK project 1 . NEPOMUK aimed to create a specification for a Social Semantic Desktop and a prototype implementation of this specification. This paper will only describe the details around the prototype implementation, for information on the Semantic Desktop specifications such as the ontologies, the architecture blueprint and service descriptions we refer the reader to the project deliverables available from the project website as well as [1,2].The NEPOMUK project resulted in two parallele implementations of the Semantic Desktop, one written in C++ which is tightly integrated with the KDE4 desktop environment, and a cross platform version written in Java. This paper deals only with the Java version. Furthermore, we focus only the Personal Information Management (PIM) components of the NEPOMUK Semantic Desktop, that is, only the components used on a single desktop machine. NEPOMUK also includes social features allowing various kinds of distributed search and information sharing, but they will not be covered here.The NEPOMUK approach to personal information management aims to overcome the limitation of having a separate applications for each type of data, such as email, photo-manager, publication-managers, etc. Instead all the information is integrated into one information-space and the user is free to relate and annotate information elements across application boundaries. The central hub for working with this information-space is called the NEPOMUK Personal Semantic Workbench (PSEW) and a typical view is show in Figure 1. Here we see a range of different views on the user's data, and a person concept, "Claudia", 1 http://nepomuk.semanticdesktop.org L.

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The Social Semantic Desktop

Cited by 8 publications

References 19 publications

Bridging the Gap between Linked Data and the Semantic Desktop

Bridging the Gap between Linked Data and the Semantic Desktop

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

The Personal Knowledge Workbench of the NEPOMUK Semantic Desktop

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