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Open Mining INfrastructure for TExt and Data

Objective

Recent years witness an upsurge in the quantities of digital research data, offering new insights and opportunities for improved understanding. Text and data mining is emerging as a powerful tool for harnessing the power of structured and unstructured content and data, by analysing them at multiple levels and in several dimensions to discover hidden and new knowledge. However, text mining solutions are not easy to discover and use, nor are they easily combinable by end users. OpenMinTeD aspires to enable the creation of an infrastructure that fosters and facilitates the use of text mining technologies in the scientific publications world, builds on existing text mining tools and platforms, and renders them discoverable and interoperablethrough appropriate registriesand a standards-based interoperability layer, respectively. It supports training of text mining users and developers alike and demonstrates the merits of the approach through several use cases identified by scholars and experts from different scientific areas, ranging from generic scholarly communication to literaturerelated tolife sciences, food and agriculture, and social sciences and humanities. Through its infrastructural activities, OpenMinTeD’s vision is tomake operational a virtuous cycle in which a) primary content is accessed through standardised interfaces and access rules b) by well-documented and easily discoverable text mining services that process, analyse, and annotate text c) to identify patterns and extract new meaningful actionable knowledge, which will be used d) for structuring, indexing, and searching content and, in tandem, e) acting as new knowledge useful to draw new relations between content items and firing a new mining cycle. To achieve its goals, OpenMinTeD brings together different stakeholders, content providers and scientific communities, text mining and infrastructure builders, legal experts, data and computing centres, industrial players, and SMEs.
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Coordinator

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS

Address

Artemidos 6 Kai Epidavrou
151 25 Maroussi

Greece

Activity type

Research Organisations

EU Contribution

€ 815 937,50

Participants (17)

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THE UNIVERSITY OF MANCHESTER

United Kingdom

EU Contribution

€ 514 850

TECHNISCHE UNIVERSITAT DARMSTADT

Germany

EU Contribution

€ 512 500

INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE

France

EU Contribution

€ 425 000

EUROPEAN MOLECULAR BIOLOGY LABORATORY

Germany

EU Contribution

€ 262 187,50

AGROKNOW IKE

Greece

EU Contribution

€ 320 250

STICHTING LIBER

Netherlands

EU Contribution

€ 272 500

UNIVERSITEIT VAN AMSTERDAM

Netherlands

EU Contribution

€ 36 515

THE OPEN UNIVERSITY

United Kingdom

EU Contribution

€ 363 213

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Switzerland

FUNDACION CENTRO NACIONAL DE INVESTIGACIONES ONCOLOGICAS CARLOS III

Spain

EU Contribution

€ 146 960,89

THE UNIVERSITY OF SHEFFIELD

United Kingdom

EU Contribution

€ 506 250

GESIS-LEIBNIZ-INSTITUT FUR SOZIALWISSENSCHAFTEN EV

Germany

EU Contribution

€ 300 500

NATIONAL INFRASTRUCTURES FOR RESEARCH AND TECHNNOLOGY

Greece

EU Contribution

€ 285 750

FRONTIERS MEDIA SA

Switzerland

THE UNIVERSITY OF STIRLING

United Kingdom

EU Contribution

€ 39 487,50

UNIVERSITY OF GLASGOW

United Kingdom

EU Contribution

€ 160 720

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Spain

EU Contribution

€ 412 914,11

Project information

Grant agreement ID: 654021

  • Start date

    1 June 2015

  • End date

    31 May 2018

Funded under:

H2020-EU.1.4.1.3.

  • Overall budget:

    € 6 068 072,50

  • EU contribution

    € 5 375 535,50

Coordinated by:

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS

Greece