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Artificial Intelligence Knowledge Information Framework

License: GNU General Public License v3.0

Python 50.26% Shell 0.12% Web Ontology Language 27.40% HTML 21.53% ApacheConf 0.01% CSS 0.45% PLSQL 0.24%

aikif's Introduction

#AIKIF #####Artificial Intelligence Knowledge Information Framework

##Overview This is an example framework to capture the flow of information initially for personal data management, but ultimately useful for AI applications.

The intent is to allow any type of raw data to be machine understandable using data collectors, ontologies, business mapping rules and embedded tags in programs.

###Progress

Area status
Code base version Pre-Alpha
Public package version 0.0.9
Date notes updated 5th-Mar-2015

###Quick Start This github repository https://github.com/acutesoftware/AIKIF contains the latest code, but the current public release is available via

pip install aikif

There are some basic examples shown in the aikif/examples folder:

*Project Management
*Code Management
*Personal Information Management

To start the web interface use aikif/web_app/web_aikif.py or the batch file aikif\go_web_aikif

screenshot of web interface

##Data Structures

Data type description
events any time or date based subset of information gets logged here
facts the text of the information
contacts person details extracted and linked from text or column in table
locations physical location in world, or virtual location on network / computer disk

##Programs ###Main Programs

Filename description
go_web_aikif.bat starts the web server for the AIKIF admin interface
index.py creates text indexes of all the files
search.py searches, using both indexes and ontologies
mapper.py applies business rules to map raw input to aikif data structures
context.py determines user context
bias.py user defined ranking of raw data by source / type / person / date

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