https://github.com/tarilabs/reex2014
a Rule Engine EXercise for 2014
https://github.com/tarilabs/reex2014
Last synced: about 2 months ago
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a Rule Engine EXercise for 2014
- Host: GitHub
- URL: https://github.com/tarilabs/reex2014
- Owner: tarilabs
- License: apache-2.0
- Created: 2014-08-14T20:24:12.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2014-08-16T09:46:57.000Z (almost 11 years ago)
- Last Synced: 2025-02-12T04:16:10.490Z (3 months ago)
- Language: Java
- Size: 1.13 MB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
reex2014
========
a Rule Engine EXercise for 2014
My name is Matteo, I'm a [Computer Science Engineer](http://www.linkedin.com/in/matteomortari) and I do believe there is a whole new range of unexplored applications for Expert Systems (AI) in Big Data scenarios, also within the Corporate business. You can read more about me on [my LinkedIn profile](http://www.linkedin.com/in/matteomortari).
I've found interest in Rule Engine applications while studying at University, and since, this has grown as a kind of NERD interest also on a personal perspective.
This is the reason every year I attempt an hobby-project where I can find an interesting application.
The theme I've chosen for this year 2014, is to solve a very practical problem: monitor data sources and social media for potential public transport issues, which I use for commuting. From a technological perspective, I've also wanted to seize a chance to experiment integrating several technologies.
In summary
GOALs
* Monitor data sources and social media for potential public transport issues
* Use Expert Systems (AI) - Rule Engine [drools.org](http://drools.org)
* Experiment for integration of other technologies like PaaS, Java EE, Camel, Android
NON-GOALs
* This is not an exercise of Sentiment analysis nor of Natural language processing
* This is not an exercise to imitate other more complex systems for public transport information communications
## Analyze RSS feed
Detect strike warning alerts from RSS stream, and others.
## Analyze Twitter feed
Detect alerts for:
* Several tweets for a specific of the different metro lines.
* Metro delays
* Service interruptions
and others.
## Android widgets
Distinct widgets for:
* List display all Alerts
* Display summary of inferred knowledge
with Settings page.
## Disclaimer
This reex2014 project is NOT affiliated with, endorsed, or sponsored by any of the source of information which is connected to. This work has, instead, been created for demonstration of technological integration.
All trademarks of their respective owners.