Explore the words cloud of the KNOWMAK project. It provides you a very rough idea of what is the project "KNOWMAK" about.
The following table provides information about the project.
UNIVERSITE DE MARNE LA VALLEE
There are not information about this coordinator. Please contact Fabio for more information, thanks.
|Coordinator Country||France [FR]|
|Total cost||1˙998˙138 €|
|EC max contribution||1˙998˙138 € (100%)|
1. H2020-EU.3.6.2. (Innovative societies)
|Duration (year-month-day)||from 2017-01-01 to 2019-12-31|
Take a look of project's partnership.
|1||UNIVERSITE GUSTAVE EIFFEL||FR (MARNE-LA-VALLEE)||coordinator||454˙625.00|
|2||UNIVERSITE DE MARNE LA VALLEE||FR (MARNE LA VALLEE CEDEX 2)||coordinator||0.00|
|3||AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH||AT (WIEN)||participant||354˙750.00|
|4||ZENTRUM FUR SOZIALE INNOVATION GMBH||AT (WIEN)||participant||346˙625.00|
|5||UNIVERSITEIT LEIDEN||NL (LEIDEN)||participant||295˙227.00|
|6||THE UNIVERSITY OF SHEFFIELD||UK (SHEFFIELD)||participant||249˙750.00|
|7||THE UNIVERSITY OF MANCHESTER||UK (MANCHESTER)||participant||170˙521.00|
|8||POLITECNICO DI MILANO||IT (MILANO)||participant||99˙750.00|
|9||UNIVERSITY OF STRATHCLYDE||UK (GLASGOW)||participant||26˙890.00|
KNOWMAK project aims at developing a web-based tool, which provides interactive visualisations and state-of-the-art indicators on knowledge co-creation in the European Research Area (ERA). It is structured around three integrative elements: • Research topics, by developing ontologies around Societal Grand Challenges and Key Enabling Technologies. • Actors, with a focus on the quadruple helix and the involvement of societal actors in knowledge co-creation. • Geographical spaces, with a focus on multiple level metropolitan, regional, national and European spaces and their interconnectedness. The tool combines three main data sources: established indicators of scientific and technological knowledge production based on scientific publications and patents; information on knowledge in the making derived from research projects’ descriptions; information on social innovation projects and user attention to knowledge production derived from the Internet and from social media. The integrative elements (topics, actors, space) allow for the interlinking of data items, to produce a characterisation of different dimensions of knowledge in the making. KNOWMAK will be tailored to the needs of specific user groups with a focus on four groups: policy-makers, regional actors and representatives of the civil society, business sector, and managers of public research organisations and universities. User groups will be involved in the design of the system, the specification of the indicators and of the visualisations to be provided. This user-centred approach will ensure responsiveness of the tool to (changing) needs of relevant stakeholders in the ERA. Moving beyond the existing approaches to S&T indicators, the project will design and implement a consistent infrastructure where different types of data sources are interlinked and mobilized to produce a rich set of indicators and visualisations responding to the needs of specific user groups, thanks to experienced consortium.
|Database of key documents||Other||2020-03-06 18:03:27|
|Report on databases enhancement and tagging||Documents, reports||2020-03-06 18:03:27|
|Report on ontologies and tagging||Documents, reports||2020-03-06 18:03:27|
|First indicator list and methodology||Other||2020-03-06 18:03:27|
|Report on actorsâ€™ harmonization, draft||Documents, reports||2020-03-06 18:03:27|
|Report on the data structure||Documents, reports||2020-03-06 18:03:27|
Take a look to the deliverables list in detail: detailed list of KNOWMAK deliverables.
|year||authors and title||journal||last update|
Milosevic, Nikola; Marinov, Dimitar; Gok, Abdullah; Nenadic, Goran
From web crawled text to project descriptions: automatic summarizing of social innovation projects
published pages: 157-169, ISSN: , DOI:
|International Conference on Applications of Natural Language to Information Systems 1||2020-03-06|
Ziqi Zhang, Johann Petrak, Diana Maynard
Adapted TextRank for Term Extraction: A Generic Method of Improving Automatic Term Extraction Algorithms
published pages: 102-108, ISSN: 1877-0509, DOI: 10.1016/j.procs.2018.09.010
|Procedia Computer Science 137||2020-03-06|
Benedetto Lepori, Philippe LarÃ©do, Thomas Scherngell, Massimiliano Guerini
The spatial distribution of knowledge production in Europe. Evidence from KET and SGC
published pages: 685-690, ISSN: , DOI: 10.5281/zenodo.3451868
|ISSI 2019 Conference Proceedings||2020-03-06|
Diana Maynard, Adam Funk, Benedetto Lepori
Towards an Infrastructure for Understanding and Interlinking Knowledge Co-Creation in European Research
published pages: , ISSN: , DOI:
|Lecture Notes in Computer Science (Proceedings of ESWC 2017 Workshop on Scientometrics)||2020-03-06|
Diana Maynard and Benedetto Lepori
Ontologies as bridges between data sources and user queries: the KNOWMAK project experience
published pages: , ISSN: , DOI:
|Proceedings of Science, Technology and Innovation indicators 2017||2020-03-06|
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The information about "KNOWMAK" are provided by the European Opendata Portal: CORDIS opendata.
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