The Beagle++ Toolbox: Towards an Extendable Desktop Search Architecture

@techreport{citeulike:1042973, 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.}, address = {l3s}, author = {Brunkhorst, Ingo and Paul and Costache, Stefania and Gaugaz, Julien and Ioannou, Ekaterini and Iofciu, Tereza and Minack, Enrico and Nejdl, Wolfgang and Paiu, Raluca }, citeulike-article-id = {1042973}, keywords = {2006, beagle, semantic\_desktop}, month = {May}, posted-at = {2007-01-15 16:27:01}, priority = {2}, title = {The Beagle++ Toolbox: Towards an Extendable Desktop Search Architecture}, url = {http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2006/BeagleArch.pdf}, year = {2006} }

TY - RPRT ID - citeulike:1042973 L3 - citeulike-article-id:1042973 TI - The Beagle++ Toolbox: Towards an Extendable Desktop Search Architecture AD - l3s N2 - 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. KW - 2006 KW - beagle KW - semantic_desktop AU - Brunkhorst, Ingo AU - Paul AU - Costache, Stefania AU - Gaugaz, Julien AU - Ioannou, Ekaterini AU - Iofciu, Tereza AU - Minack, Enrico AU - Nejdl, Wolfgang AU - Paiu, Raluca PY - 2006/05/15/ UR - http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2006/BeagleArch.pdf ER -