The Beagle++ toolbox: Towards an extendable desktop search architecture

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Ingo Brunkhorst
  • Paul Alexandru Chirita
  • Stefania Costache
  • Julien Gaugaz
  • Ekaterini Ioannou
  • Tereza Iofciu
  • Enrico Minack
  • Wolfgang Nejdl
  • Raluca Paiu

Organisationseinheiten

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Details

OriginalspracheEnglisch
Titel des SammelwerksSemDesk 2006
UntertitelSemantic Desktop and Social Semantic Collaboration
PublikationsstatusVeröffentlicht - 2006
VeranstaltungSemantic Desktop and Social Semantic Collaboration Workshop, SemDesk 2006 - Located at the 5th International Semantic Web Conference, ISWC 2006 - Athens, GA, USA / Vereinigte Staaten
Dauer: 6 Nov. 20066 Nov. 2006

Publikationsreihe

NameCEUR Workshop Proceedings
Herausgeber (Verlag)CEUR Workshop Proceedings
Band202
ISSN (Print)1613-0073

Abstract

The rapidly increasing quantity and diversity of data stored on our PCs made locating information in this environment very difficult. Consequently, recent research has focussed on building semantically enhanced systems for either organizing or searching data on the desktop. Building on previous work, in this paper we present the Beagle++ toolbox, a set of extendable building blocks for implementing such a system. The corresponding modular desktop search architecture integrates our previously developed metadata generators and ranking components, uses an RDF database to share data between components, and can easily integrate other external components to improve desktop search quality. Additionally, we provide implementation details about all our current components, how they interact with each other, and how to install the complete system on top of a Linux distribution.

ASJC Scopus Sachgebiete

Zitieren

The Beagle++ toolbox: Towards an extendable desktop search architecture. / Brunkhorst, Ingo; Chirita, Paul Alexandru; Costache, Stefania et al.
SemDesk 2006: Semantic Desktop and Social Semantic Collaboration. 2006. 9 (CEUR Workshop Proceedings; Band 202).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Brunkhorst, I, Chirita, PA, Costache, S, Gaugaz, J, Ioannou, E, Iofciu, T, Minack, E, Nejdl, W & Paiu, R 2006, The Beagle++ toolbox: Towards an extendable desktop search architecture. in SemDesk 2006: Semantic Desktop and Social Semantic Collaboration., 9, CEUR Workshop Proceedings, Bd. 202, Semantic Desktop and Social Semantic Collaboration Workshop, SemDesk 2006 - Located at the 5th International Semantic Web Conference, ISWC 2006, Athens, GA, USA / Vereinigte Staaten, 6 Nov. 2006. <https://ceur-ws.org/Vol-202/SEMDESK2006_0028.pdf>
Brunkhorst, I., Chirita, P. A., Costache, S., Gaugaz, J., Ioannou, E., Iofciu, T., Minack, E., Nejdl, W., & Paiu, R. (2006). The Beagle++ toolbox: Towards an extendable desktop search architecture. In SemDesk 2006: Semantic Desktop and Social Semantic Collaboration Artikel 9 (CEUR Workshop Proceedings; Band 202). https://ceur-ws.org/Vol-202/SEMDESK2006_0028.pdf
Brunkhorst I, Chirita PA, Costache S, Gaugaz J, Ioannou E, Iofciu T et al. The Beagle++ toolbox: Towards an extendable desktop search architecture. in SemDesk 2006: Semantic Desktop and Social Semantic Collaboration. 2006. 9. (CEUR Workshop Proceedings).
Brunkhorst, Ingo ; Chirita, Paul Alexandru ; Costache, Stefania et al. / The Beagle++ toolbox : Towards an extendable desktop search architecture. SemDesk 2006: Semantic Desktop and Social Semantic Collaboration. 2006. (CEUR Workshop Proceedings).
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abstract = "The rapidly increasing quantity and diversity of data stored on our PCs made locating information in this environment very difficult. Consequently, recent research has focussed on building semantically enhanced systems for either organizing or searching data on the desktop. Building on previous work, in this paper we present the Beagle++ toolbox, a set of extendable building blocks for implementing such a system. The corresponding modular desktop search architecture integrates our previously developed metadata generators and ranking components, uses an RDF database to share data between components, and can easily integrate other external components to improve desktop search quality. Additionally, we provide implementation details about all our current components, how they interact with each other, and how to install the complete system on top of a Linux distribution.",
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Download

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