Index: start.html
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Installation
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Installing using packages
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Refer to the download to see how to download the tracker-packages for your favourite distribution. Here we display only how the tracker packages are organized.
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-Every distribution has its own way to pack tracker, however you can recognise two main part:
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Refer to the download to see how to download the tracker-packages for your favourite distribution. Here we display only how the tracker packages are organized.
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- - tracker -- Usually this one has no dependencies related to a Desktop Enviroment and is the "desktop agnostic part". This basicly means you can install on KDE/XFCE/Fluxbox/* without installing any GNOME-related dependecies.
- - tracker-search-tool -- the Graphical User Interface to search using tracker. This has GNOME-dependencies
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-We want to keep the indexer free from any specific dependences related to a particular Desktop Enviroment.
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+ Every distribution has its own way to pack tracker, however you can recognise two main part:
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+ - tracker -- Usually this one has no dependencies related to a Desktop Enviroment and is the "desktop agnostic part". This basicly means you can install on KDE/XFCE/Fluxbox/* without installing any GNOME-related dependecies.
+ - tracker-search-tool -- the Graphical User Interface to search using tracker. This has GNOME-dependencies
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+ We want to keep the indexer free from any specific dependences related to a particular Desktop Enviroment.
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As example we write how to install using a Debian/Ubuntu system
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-apt-get install tracker tracker-utils
to install the indexer and the command line
-apt-get install tracker tracker-utils tracker-search-tool libdeskbar-tracker
to install the Gnome GUI and the deskbar handler.
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+ apt-get install tracker tracker-utils
to install the indexer and the command line
+ apt-get install tracker tracker-utils tracker-search-tool libdeskbar-tracker
to install the Gnome GUI and the deskbar handler.
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Run tracker
To run tracker simple digit trackerd
Tracker is indexing your home!!
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For more information in how configure tracker read the README file or refer to Documentation.
For more information about the others GUI available to search with tracker refer to Documention Other GUI
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Index: features.html
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Key Features
-- Supports both free text search (like Beagle/Google) as well as structured searches using RDF Query.
-- Responds in real time to filesystem changes, automaticaly keeping its metadata database up to date.
-- Extracts file contents as plain text and indexes them.
-- Can provide thumbnailing on the fly if a thumbnail does not currently exist.
-- Uses multilingual word stemmers to help find more relevant results. For example a search for motorbikes (plural) will also return results relevant to motorbike (singular).
+ - Supports both free text search (like Beagle/Google) as well as structured searches using RDF Query.
+ - Responds in real time to filesystem changes, automaticaly keeping its metadata database up to date.
+ - Extracts file contents as plain text and indexes them.
+ - Can provide thumbnailing on the fly if a thumbnail does not currently exist.
+ - Uses multilingual word stemmers to help find more relevant results. For example a search for motorbikes (plural) will also return results relevant to motorbike (singular).
Desktop Neutral Design
- - Adheres to freedesktop thumbail spec.
- - Uses freedesktop technologies like DBus and XDGMime.
- - Uses XDG utils like xdg-open.
- - Implements the freedesktop specification for metadata (http://freedesktop.org/wiki/Standards/shared-filemetadata-spec).
- - Supports the WC3's RDF Query syntax for querying that metadata.
+ - Adheres to freedesktop thumbail spec.
+ - Uses freedesktop technologies like DBus and XDGMime.
+ - Uses XDG utils like xdg-open.
+ - Implements the freedesktop specification for metadata (http://freedesktop.org/wiki/Standards/shared-filemetadata-spec).
+ - Supports the WC3's RDF Query syntax for querying that metadata.
Efficienct and Stable
- Written in C for maximum efficiency.
- - Designed and built to run well on lower-memory systems with typically 128MB or 256MB memory. Typical RAM usage is 3-9 MB.
- - High performance indexer capable of indexing 100+ text files a second.
- - Scheduled nicely so that you can work and use your machine without noticing any slow downs.
- - Extractors run in separate processes, so a crash in one will not bring down the daemon.
+ - Designed and built to run well on lower-memory systems with typically 128MB or 256MB memory. Typical RAM usage is 3-9 MB.
+ - High performance indexer capable of indexing 100+ text files a second.
+ - Scheduled nicely so that you can work and use your machine without noticing any slow downs.
+ - Extractors run in separate processes, so a crash in one will not bring down the daemon.
Components
-- Indexer, a lightweight daemon that extracts information from files (trackerd).
-- Tracker search tool, a small GUI to search for indexed data.
-- Command line tools for searching, querying the daemon status, and tagging.
-- libtracker, a C wrapper around the DBus API.
-- Full DBus API for application authors using different toolkits or programming languages.
+ - Indexer, a lightweight daemon that extracts information from files (trackerd).
+ - Tracker search tool, a small GUI to search for indexed data.
+ - Command line tools for searching, querying the daemon status, and tagging.
+ - libtracker, a C wrapper around the DBus API.
+ - Full DBus API for application authors using different toolkits or programming languages.
Use Cases
-- Application-neutral and desktop-neutral tagging. Tagging support 'for free' in any application that uses tracker, such as Nautilus and file-chooser dialogs.
-- A cross-application metadata database. If applications chooses to use Tracker as their metadata database and indexer, they would see signifigant improvements. Users would no longer need to add a MP3 they have downloaded to Rhythmbox, nor a photo they have taken to f-spot, these items would be detected and imported automatically.
-- Users may completely move away from a folder-heirarchy based home folder, and instead organise their data into collections using tags. The combination of tagging support in the file-chooser, tagging awareness in Nautilus, or even a tag based filesystem using FUSE could allow radical exploration of new desktop ideas.
-- Improved performance. With an always running indexer application start up time could be dramatically reduced in instances where applicaions scan or parse a numer of files on disk. For example alacarte could use tracker as its desktop file parser, or rhythmbox could use tracker as its song index. In addition by using a DBus based API one can take advantage of asynchronous replies for improved GUI responsiveness.
+ - Application-neutral and desktop-neutral tagging. Tagging support 'for free' in any application that uses tracker, such as Nautilus and file-chooser dialogs.
+ - A cross-application metadata database. If applications chooses to use Tracker as their metadata database and indexer, they would see signifigant improvements. Users would no longer need to add a MP3 they have downloaded to Rhythmbox, nor a photo they have taken to f-spot, these items would be detected and imported automatically.
+ - Users may completely move away from a folder-heirarchy based home folder, and instead organise their data into collections using tags. The combination of tagging support in the file-chooser, tagging awareness in Nautilus, or even a tag based filesystem using FUSE could allow radical exploration of new desktop ideas.
+ - Improved performance. With an always running indexer application start up time could be dramatically reduced in instances where applicaions scan or parse a numer of files on disk. For example alacarte could use tracker as its desktop file parser, or rhythmbox could use tracker as its song index. In addition by using a DBus based API one can take advantage of asynchronous replies for improved GUI responsiveness.
Object store
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Link and define explicit relationships between different objects
Easily explotable and shareable via high level and rich Dbus based interfaces
Searchable and queryable by content or by any criteria. Provides one of the richest and most powerful search frameworks currently available
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Tagging
Tags are one-word labels that you can assign to any file to help you categorize and remember them.
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You can organize under a logical tag several file in different folder an retrieve all of them using the common tag.
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