_____      _             _     ___    _   _      _           _____   ___    _   _ 
|  __ \    | |           | |   |__ \  | \ | |    | |      /  |  __ \ |__ \  | \ | | \
| |__) |_ _| |_ ___ _ __ | |_     ) | |  \| | ___| |_    /   | |__) |   ) | |  \| |  \
|  ___/ _` | __/ _ \ '_ \| __|   / /  | . ` |/ _ \ __|   |   |  ___/   / /  | . ` |   |
| |  | (_| | ||  __/ | | | |_   / /_  | |\  |  __/ |_     \  | |      / /_  | |\  |  /
|_|   \__,_|\__\___|_| |_|\__| |____| |_| \_|\___|\__|     \ |_|     |____| |_| \_| /       

About

[Patent2Net] (http://patent2netv2.vlab4u.info/dokuwiki/doku.php?id=page) is :

• elaborated and maintained (on a free base) by a [small international team] (http://patent2netv2.vlab4u.info/dokuwiki/doku.php?id=about_p2n:community;) of university professors and researchers.
• an "open source" package and contributions are welcome
• available "[as it is] (http://patent2netv2.vlab4u.info/dokuwiki/doku.php?id=about_p2n:disclaimer)".

Patent2Net is a free package, dedicated to :

• augment the use of patent information in academic, nano and small firms, developing countries (all those without pay mode access)
• learn, study and practice how to collect, treat and communicate "textual bibliographic information", and automation process
• provide statistical analysis and representations of a set of patents.

The results of statistical patents analysis can be explored as a website with the firefox browser

A [binary version] (http://patent2netv2.vlab4u.info/dokuwiki/doku.php?id=user_manual:download_install;) is available

[Train how to search patent information using interface] (http://patent2netv2.vlab4u.info/dokuwiki/doku.php?id=user_manual:patent_search;)

Install Patent2Net python scripts on Windows

To run as python script, see the file install-dev.txt Install Patent2Net on Linux (Fix needed).

See requirements.txt and InstallP2NLinux.txt If you're using Ubuntu or Debian distributions, make sure to have PIP installed:

sudo apt-get install python-pip build-essential python-dev libjpeg-dev libxml2-dev libfreetype6-dev libpng-dev

Then, run the requirements.txt file to install all dependencies:

sudo pip install -r Development/requirements.txt

To use the current Development version, you can make a symbolic link to your desired folder:

ln -sd Development Patent2Net

Use Patent2Net (script mode)

Follow the "Register the use of P2N:" [described here] (http://patent2netv2.vlab4u.info/dokuwiki/doku.php?id=user_manual:download_install;) to install your acreditation in the “cles-epo.txt” file in root directory.

Copy any of the *.cql file from /RequestsSets directory as requete.cql in root directory, and/or adapt the requete.cql to your need.

Use the /Patent2Net/ProcessPy.bat or the /Patent2Net/Process.sh and enjoy!

Further insformation:

In our [documentation page] (http://patent2netv2.vlab4u.info/dokuwiki/doku.php?id=page)

Todo List (not limitative, just ideas):

Although Patent2Net is fully operational, works fine and is enough to begin using Patent Information, a lot can be done to improve analysis:

• Correct the issues (continuous process, of course)
• Add some more information in the result html page (ModeleContenuIndex.html). Great to add the treating date (thus can be different from gathering) and P2N version
• As information analysis do not allways represent the whole Patent Universe (i.e. french abstrat) provide the proportion of P.U. concerned by each analysis
• Treat Designated State(s) information for EP and WO patentes to complete the attractivity maps
• Improve the Mindmap option to get it more efficient for creativity (Celso is working on)
• Build the entire network as a gephi file for download to let new combined network analysis possible
• Use the list of standardised applicant names from EPO to normalize nets and tables. See: [CSV datafile] (http://documents.epo.org/projects/babylon/rawdata.nsf/0/71DE2EB24A084A19C1257F3B0032BA98/)

Add some new capabilities to Patent2Net, i.e.:

• Within the Patent Universe, build a drawings gallery with hyperlink to the Espacenet patent (Andre is working on)
• Within the Familly Patent Universe, provide all the same analysis as with the Patent Universe (Roberto is working on)
• Include the treatment of the Cooperative Patent Classification (CPC) with the proportion of P.U. concerned (http://www.cooperativepatentclassification.org/Archive.html)
• Build a small database to display results of a specific (Familly) Patent Universe. Database could be [PouchDB] (https://pouchdb.com/) or equivalent

Provide some new ways of gathering and analysis of patent information, i.e.:

• Within the Familly Patent Universe, provide a new range of analysis, considering a familly as a unique entity (invention)
• Limit the Familly Patent Universe to the only Priority patents, and provide a complete analysis
• Using citations of the Familly Patent Universe, provide genealogic analysis, especially descendants to try to detect invention fronts.
• Gather research reports when avalaible and provide analysis chains

New contributions and ideas are welcome