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. Fields of science natural sciencescomputer and information sciencesdata sciencebig datanatural sciencescomputer and information sciencesdata sciencedata miningsocial scienceseconomics and businessbusiness and managementbusiness modelsnatural sciencescomputer and information sciencesdata sciencebusiness intelligencenatural sciencescomputer and information sciencesdata sciencedata processing Programme(s) H2020-EU.1.2. - EXCELLENT SCIENCE - Future and Emerging Technologies (FET) Main Programme H2020-EU.1.2.1. - FET Open Topic(s) FETOPEN-04-2016-2017 - FET Innovation Launchpad Call for proposal H2020-FETOPEN-2016-2017 See other projects for this call Sub call H2020-FETOPEN-4-2016-2017 Funding Scheme CSA - Coordination and support action Coordinator INSTITUT JOZEF STEFAN Net EU contribution € 99 125,00 Address Jamova 39 1000 Ljubljana Slovenia See on map Region Slovenija Zahodna Slovenija Osrednjeslovenska Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
