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ScienceGraph SIGNED

Knowledge Graph based Representation, Augmentation and Exploration of Scholarly Communication

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 ScienceGraph project word cloud

Explore the words cloud of the ScienceGraph project. It provides you a very rough idea of what is the project "ScienceGraph" about.

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Project "ScienceGraph" data sheet

The following table provides information about the project.

Coordinator
GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER 

Organization address
address: Welfengarten 1
city: HANNOVER
postcode: 30167
website: www.uni-hannover.de

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 Germany [DE]
 Total cost 1˙996˙250 €
 EC max contribution 1˙996˙250 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2024-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER DE (HANNOVER) coordinator 1˙381˙750.00
2    TECHNISCHE INFORMATIONSBIBLIOTHEK (TIB) DE (HANNOVER) participant 447˙000.00
3    INSTITUT FUR ANGEWANDTE INFORMATIK (INFAI) EV DE (LEIPZIG) participant 167˙500.00

Map

 Project objective

Despite an improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. The document-oriented workflows in science have reached the limits of adequacy as highlighted by recent discussions on the increasing proliferation of scientific literature, the deficiency of peer-review and the reproducibility crisis. In ScienceGRAPH we aim to develop a novel model for representing, analysing, augmenting and exploiting scholarly communication in a knowledge-based way by expressing and linking scientific contributions and related artefacts through semantically rich, interlinked knowledge graphs. The model is based on deep semantic representation of scientific contributions, their manual, crowd-sourced and automatic augmentation and finally the intuitive exploration and interaction employing question answering on the resulting ScienceGRAPH base. Currently, knowledge graphs are still confined to representing encyclopaedic, factual information. ScienceGRAPH advances the state-of-the-art by enabling to represent complex interdisciplinary scientific information including fine-grained provenance preservation, discourse capture, evolution tracing and concept drift. Also, we will demonstrate that we can synergistically combine automated extraction and augmentation techniques, with large-scale collaboration to reach an unprecedented level of knowledge graph breadth and depth. As a result, we expect a paradigm shift in the methods of academic discourse towards knowledge-based information flows, which facilitate completely new ways of search and exploration. The efficiency and effectiveness of scholarly communication will significant increase, since ambiguities are reduced, reproducibility is facilitated, redundancy is avoided, provenance and contributions can be better traced and the interconnections of research contributions are made more explicit and transparent.

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The information about "SCIENCEGRAPH" are provided by the European Opendata Portal: CORDIS opendata.

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