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An extended native php wrapper for Telegram Bot API without requirements. Supports all methods and types of responses. Bots are special Telegram accounts designed to handle messages automatically. Users can interact with bots by sending them command messages in private or group chats. The Bot API is an HTTP-based interface created for developers keen on building bots for Telegram.
a tool for easing the ontologies editing and evolution (Semantic Web)
The DLP tool was ideated and developed by:
Dr. Luca Mazzola, MsC. Patrick Kapahnke, and PD Dr. Matthias Klusch
at the German Research Center for Artificial Intelligence DFKI GmbH
(http://www.dfki.de ) in Saarbrücken, Germany.
Copyright: DFKI, 2017, licence GLP see https://www.gnu.org/licenses/gpl-3.0.en.html
For bug reports, technical problems and feature requests please contact:
Luca Mazzola: luca.mazzola@dfki.de or mazzola.luca@gmail.com
Patrick Kapahnke: patrick.kapahnke@dfki.de
...Equivalently, it can be used to learn classes in OWL ontologies from selected objects.
As of August 2014, the source code management of DL-Learner has moved to Github: https://github.com/AKSW/DL-Learner
Please use this for the latest code and issue tracking and the website (http://dl-learner.org) for general information.
...Have your own chatbot on your website, the chat engine is writen in PHP, with the AIML initially parsed into a MySQL database. If you would like a demo or more info please visit http://www.program-o.com
THIS PROJECT HAS NOW BEEN MOVED TO https://github.com/Program-O/Program-O
For security operations, threat-intelligence and risk teams wanting a tool to get access to auto-monitored assets exposed to attack surfaces
Criminal IP’s Attack Surface Management (ASM) is a threat-intelligence–driven platform that continuously discovers, inventories, and monitors every internet-connected asset associated with an organization, including shadow and forgotten resources, so teams see their true external footprint from an attacker’s perspective. The solution combines automated asset discovery with OSINT techniques, AI enrichment and advanced threat intelligence to surface exposed hosts, domains, cloud services, IoT endpoints and other Internet-facing vectors, capture evidence (screenshots and metadata), and correlate findings to known exploitability and attacker tradecraft. ASM prioritizes exposures by business context and risk, highlights vulnerable components and misconfigurations, and provides real-time alerts and dashboards to speed investigation and remediation.
NOTE: I couldn't keep up this project to align with latest Unicode spec. Not sure I may be continuing. You can try Myanmar3 from Myanmar NLP or WinUniInnwa or https://sourceforge.net/projects/prahita/ or something better compliant font. ~Victor
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[This is UniBurma - UniMM project workshop area. This project currently have two productions, UniBurma and UniMM. For more descriptive info about this project, please visit http://unimm.org/. You can browse lastest source from SVN trunk.]