MiMFa RAVAR
Automatic collecting of text, image, sound, video, and other multimedia (the focus is mostly on text)
Supporting unstructured, semi-structured and structured texts
Importing data from different formats or resources (MS-Excel, MS-Word, MS-PowerPoint, PDF, XML, HTML, and etc.)
Extracting data from Local Disk, Web Pages
Ability to set the main repository of the warehouse as the home, to there work all application's inputs, outputs, etc.
Accessing to main and multi-use directory or documents you need, as a useful repository in-app and quickly
Supporting semi-big up to big volume data
Quick through parallel processing algorithms
data presentation and visualization of several related files on table-view, form-view, text-view, chart-view and, etc.
Accessing, editing, processing and normalization of several data files in an integrated environment
Searching, filtering and applying queries on different types of data
Exporting data to one or more given standards for data exchange between different systems (such as Dublin-Core standard for exchange of media-metadata)
Importing data from different data interchange standard formats
Adopting organization of data with different metadata standards for storing and exchange purposes
Developing algorithms on the data for general indexing, subject indexing, normalization, clustering, and creating different data structure (like tree, graphs and etc.)
Developing standard digital archive and library environment for preserving, using, and analyzing data of different media
Scripting simple codes to make different scenarios and run them
Scripting and run your codes around the documents with a very engine (V8 Engine) and a simple and regular language to learn (JavaScript)
Wide and simple access to main applications' modules, objects, libraries, etc. through the script page
Developing and adding new algorithms into the software for the intended pre-processing and processing activities