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Contents contributed and discussions participated by Janos Haits

Janos Haits

DataMiner - Extract data from any website with 1 Click - 2 views

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    "Data Miner is a Google Chrome extension that extracts data from web pages and into spreadsheets. Available in Chrome Web Store"
Janos Haits

OpenLink Structured Data Sniffer Home Page - 0 views

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    "The OpenLink Structured Data Sniffer (OSDS) is a browser extension for Google Chrome, Mozilla Firefox, Opera, and Vivaldi (with builds planned for Apple Safari and Microsoft Edge) that unveils structured metadata embedded within HTML documents and web pages."
Janos Haits

Data Science Toolbox - 0 views

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    "The Data Science Toolbox is a virtual environment based on Ubuntu Linux that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run the Data Science Toolbox either locally (using VirtualBox and Vagrant) or in the cloud (using Amazon Web Services)."
Janos Haits

Open Linguistics - 0 views

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    "the home of the Open Knowledge Foundation's Working Group on Open Data in Linguistics."
Janos Haits

Home - TensorFlow - 0 views

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    "TensorFlow is an Open Source Software Library for Machine Intelligence"
Janos Haits

https://feedly.com/aaranged/Semantic%20Web - 1 views

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    a collection of the best semantic web and linked data blogs
Janos Haits

Storm, distributed and fault-tolerant realtime computation - 0 views

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    "Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!"
Janos Haits

CODE | Commercially Empowered Linked Open Data Ecosystems in Research - 1 views

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    "CODE's vision is to establish the foundation for a web-based, commercially oriented ecosystem for Linked Open Data. Our use case focuses on research papers as a source for mining facts and their integration into LOD repositories and light-weight ontologies. Hence, we will leverage the wealth of knowledge contained in research publications on a semantic, machine-readable level by creating the Linked Science Data cloud."
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