Information for "Towards a Knowledge Graph for Science"

Display title	Towards a Knowledge Graph for Science
Default sort key	Towards a Knowledge Graph for Science
Page length (in bytes)	4,457
Page ID	36187
Page content language	en - English
Page content model	wikitext
Indexing by robots	Allowed
Number of redirects to this page	0
Counted as a content page	Yes

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Page creator	Said (talk \| contribs)
Date of page creation	15:26, 28 June 2018
Latest editor	Said (talk \| contribs)
Date of latest edit	10:33, 5 July 2018
Total number of edits	3
Total number of distinct authors	1
Recent number of edits (within past 90 days)	0
Recent number of distinct authors	0

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The document-centric workflows in science … The document-centric workflows in science have reached (or already exceeded) the limits of adequacy. This is emphasized by recent discussions on the increasing proliferation of scientific literature and the reproducibility crisis. This presents an opportunity to rethink the dominant paradigm of document-centric scholarly information communication and transform it into knowledge-based information flows by representing and expressing information through semantically rich, interlinked knowledge graphs. Atthe core of knowledge-based information flows is the creation andevolution of information models that establish a common understanding of information communicated between stakeholders aswell as the integration of these technologies into the infrastructureand processes of search and information exchange in the researchlibrary of the future. By integrating these models into existing andnew research infrastructure services, the information structuresthat are currently still implicit and deeply hidden in documentscan be made explicit and directly usable. This has the potential torevolutionize scientific work as information and research resultscan be seamlessly interlinked with each other and better matched tocomplex information needs. Furthermore, research results becomedirectly comparable and easier to reuse. As our main contribution,we propose the vision of a knowledge graph for science, present apossible infrastructure for such a knowledge graph as well as ourearly attempts towards an implementation of the infrastructure.s an implementation of the infrastructure. +

Has approach

Creating a knowledge graph for science +

Has authors

Viktor Kovtun +, Manuel Prinz +, Anna Kasprzik +, Markus Stocker + and Sören Auer +

Has conclusion

The transition from purely document-centri … The transition from purely document-centric to a more knowledge-based view on scholarly communication is in line with the current digital transformation of information flows in general and is thusinevitable. However, this also creates a need for the implementationof corresponding tools and workflows supporting the switch. Asof now, there are still very few of those tools, and their designand concrete features remain a challenge that is yet to be tackled – collaboratively and in a coordinated manner.llaboratively and in a coordinated manner. +

Has future work

The work presented here delineates our ini … The work presented here delineates our initial steps towards aknowledge graph for science. By testing existing and developingnew components, we have so far focused on some core technicalaspects of the infrastructure. Naturally, there are a number of researchproblems and implementation issues as well as a range ofsocio-technical aspects that need to be addressed in order to realizethe vision.Dimensions of open challenges are, among others:• the low-threshold integration of researchers through methodsof crowd-sourcing, human-machine interaction, and social networks;• automated analysis, quality assessment, and completion of the knowledge graph as well as interlinking with external sources;• support for representing fuzzy information, scientific discourse and the evolution of knowledge;• development of new methods of exploration, retrieval, and visualization of knowledge graph information.ualization of knowledge graph information. +

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Knowledge Graph, Science and Technology, Research Infrastructure, Libraries, Information Science +

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Semantifying scholarly artifacts +

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Scholarly communication +