Opendata, web and dolomites


ClowdFlows Data and Text Analytics Marketplace on the Web

Total Cost €


EC-Contrib. €






Project "CF-Web" data sheet

The following table provides information about the project.


Organization address
address: Jamova 39
postcode: 1000

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Slovenia [SI]
 Project website
 Total cost 99˙125 €
 EC max contribution 99˙125 € (100%)
 Programme 1. H2020-EU.1.2.1. (FET Open)
 Code Call H2020-FETOPEN-4-2016-2017
 Funding Scheme CSA
 Starting year 2017
 Duration (year-month-day) from 2017-06-01   to  2018-11-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT JOZEF STEFAN SI (LJUBLJANA) coordinator 99˙125.00


 Project objective

ClowdFlows is an open source cloud based platform developed within the MUSE FET project that supports the composition and execution of data and text processing workflows on the Web. It has a user-friendly graphical interface running in any browser, and supports big data analytics and text mining to discover patterns and regularities leading to new insights. As such, it fulfils the needs of many companies facing the problem of collecting huge amounts of data but lacking intuitive user-friendly tools to improve competitive market advantage. Data and text processing in ClowdFlows is easily managed in the browser by connecting processing components into an executable workflow executed in the cloud. Once constructed, workflows can be reused to process vast amounts of static data or high volumes of data streams. The web based platform is provided as a hosted service, with the ability for users to install it on a private cloud. In the proposed business model, ClowdFlows serves as a workflow publishing platform: a marketplace of ready-made workflows and data/text processing components, offering components for reuse to companies lacking the expertise and tools to perform needed big data analytics. From the end user’s perspective, the lack of internal developmental resources is compensated by crowdsourcing of needed new analytical components within the marketplace. From the developer’s perspective, the ClowdFlows marketplace allows the developers of processing components to publish and monetize their work, and to connect to companies in need of easy to use cloud based data mining tools. The CF-Web project will develop a value proposition focused on ease of use for end-users including SMEs, and serve as a marketplace of workflow components and provide revenue sharing for developers, while creating a growing, stable, new business venture based in Slovenia.


year authors and title journal last update
List of publications.
2018 Matej Martinc, Martin Žnidaršič, Nada Lavrač, Senja Pollak
Towards Creative Software Blending: Computational Infrastructure and Use Cases
published pages: 77-84, ISSN: 0350-5596, DOI:
Informatica 42(1) 2019-05-15
2018 Matej Martinc, Senja Pollak
Reusable workflows for gender prediction
published pages: , ISSN: , DOI:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC) 2019-05-15
2018 Matej Martinc, Senja Pollak, Ana Zwitter Vitez
Delotoki za nadaljnje analize nestandardne slovenščine
published pages: 100-123, ISSN: , DOI:
Viri, orodja in metode za analizo spletne slovenščine 2019-05-15
2017 Martin Žnidaršič
CF-Web : ClowdFlows Data and Text Analytics Marketplace on Web
published pages: , ISSN: , DOI:
Collection of abstracts : ECML PKDD 2017, The European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (EU project forum) 2019-05-15

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The information about "CF-WEB" are provided by the European Opendata Portal: CORDIS opendata.

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