Soft82.com » Windows » Utilities » File & Disk Management » SCAN 1.3.2

SCAN Description

A personal semantic content manager for desktop users.

It combines search, text analysis, tagging and metadata functions to provide new user experience of desktop navigation and personal document management.

SCAN aims at problems of personal content organization and findability in information overload age. For that, SCAN solution provides an integrated set of tools and techniques:

Aggregation • SCAN erases the boundaries put on information by different storage systems. Information flows from different sources are aggregated into single searchable and explorable semantic space where files, web-pages, emails, other content items are equal documents organized by their natural semantic properties, rather than by their physical locations.

Metadata • Unified metadata framework is provided to describe, classify and annotate the documents.

Tagging • A simplest and intuitive way to organize your content. Label any document with tags and navigate the collection with the tags cloud.

Text analysis • Unlike other tools, SCAN is aware of what your documents are about. Really.

Search • Powerful full-text and metadata search over your document collection.

SCAN is an open source software, available for free download.

SCAN is a cross-platform software, independent of specific operation system and computer hardware.

SCAN is designed as a flexible component framework easily configurable for specific user needs. It is extensible by integration the plugins for new document locations and formats, as well as the user interface add-ons.
Scan everywhere

SCAN repository aggregates content from different sources: local folders, web syndication feeds, mailboxes, del.icio.us bookmarks and possibly from other locations if the plugins are available. A user only need to point SCAN to a location and the application will find and add every document from there. Added document locations will be monitored for changes (new, modified or deleted documents) to keep the repository up-to-date.

The documents repository may keep records on thousands of documents independently of their original formats. A number of popular document formats is supported either natively or via the plugins, including HTML, PDF, OpenOffice, MS Office and email messages.
Annotations and metadata

SCAN provides a rich set of metadata properties associated with the documents, including document title, description/annotation, author, creation date and others. The properties are set automatically on document adding and can be quickly edited later.

Metadata properties can be used in search queries to find the documents matching specified criteria. In addition, some properties (author, path, date and language) serve as navigation facets to browse the documents by their values.
Tag everything

The documents collection is structured with a system of tags, similar to the services like del.icio.us or Flickr. Tags are keywords or labels attached to the items to identify them for quick navigation and finding. All tags together form a taxonomy representing the semantics of the documents collection. The taxonomy can be viewed as a “tags cloud” for navigating through the documents repository.
Text analysis

SCAN brings the power of text mining and analysis to discover document semantics and extract basic concepts from a document content.

Text analysis greatly simplifies the process of tagging. It helps a user to pick the most relevant terms identifying a document and assign them as the document tags. It makes manual document tagging as simple as selecting the tags from the suggested candidates. Also, a user can entrust the process of tagging entirely to the system, so that the documents would be tagged automatically with the relevant terms.

Other features based on text analysis are finding the documents conceptually similar to a specific one and suggestion of the terms related to last search query (”associative search”).
Find everything fast

When adding new documents into the repository, their content is indexed for full-text search. The search is performed either with simple text queries or using special forms for advanced search both on text and metadata properties. Advanced search queries can be saved for repeatable use.

After a search is performed, SCAN analyses the results to build a “see also” terms list. A user can select the terms from the suggested list to refine the query and find more documents on a subject of interest (”associative search”).

Another type of search is finding the documents by similarity. This search algorithm takes a specific document as a pattern and find every another document, similar to it. It allows fast finding of everything on a topic of a given document.


Current features
Supported document formats

* (X)HTML
* Arbitrary XML
* Plain text
* OpenDocument Text *
* PDF *
* MS Word 97/2000/XP *
* MS Excel 97/2000/XP *
* MS PowerPoint 97/2000/XP *
* Email message (RFC 822)*

Supported document locations

* Local directories (recursive)
* Web-sites (recursive) *
* Syndication feeds (RSS/Atom) *
* Del.icio.us bookmarks *
* Local mail folders *

* - pluggable feature
Supported document languages

* Danish
* Dutch
* English
* French
* German
* Italian
* Norwegian
* Portuguese
* Russian
* Spanish
* Swedish

Indexing

* Autoidentification of a document format by a file name pattern
* Monitoring the indexed locations to track new, modified and deleted documents and keep the collection up-to-date.
* Autoindentification of a document language
* Analyzing content accordingly to specific language rules for stems extraction and stopwords filtering.
* Caching parsed documents
* Parsing document metadata properties, if available
* Guessing basic metadata properties (title, description) from a document content

Search

* Built-in search capabilities based on Apache Lucene search engine
* Quick search on document text and metadata properties (with ability of using special query syntax for experienced users)
* Advanced search using visual query constructor
* Possibility to save the advanced search queries for repeating use
* Search of the documents similar to a specified one (”pattern search”).
* Automatic suggestion of the terms relevant to the previous search query (”See more” or “associative search”)

Tagging and text analysis

* Manual tags assigning and editing
* Text analysis functions for extraction and prompting the relevant tags
* Automated documents tagging based on text analysis mechanism
* Optional transparent auto-tagging for new or modified documents (on indexing stage)
* Automated assigning a tag to the relevant documents (”tag auto-population”)
* Adjustable analysis/auto-tagging parameters
* Navigating the document collection with the “tags cloud”
* Finding the groups of related tags and highlighting them dynamically
* Removing the tags

User interface

* Viewing the documents list in two modes: List view (brief) and Table view (detailed)
* Customizable set of properties to display in Table view
* Sorting the documents list by selected document property.
* Filtering the documents list by specified filter query
* Browsing the documents collection with four metadata facets (path, author, date and language)
* In-place editing the document properties (in table view)
* Editing the properties and tags for multiple documents in a batch mode
* Annotating the documents with the Notes dialog
* Opening the documents with an external application defined for each document type
* Visual query editor for Advanced search
* Calendar plugin to browse the documents by creation dates
* TagClusters plugin to visualize the tags with a graphical clusters map
* Plugins management framework for remote installation and upgrading the plugins

SCAN Download Button For Your Site

If you want to place a Download Button for SCAN on your website just insert the following code:

If you want a Link to this page you can use one of the logos bellow:

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