Position paper on open research knowledge graph

Position paper on open research knowledge graph

June 20, 2018

The exchange of scholarly knowledge continues to be primarily document-based. However, the proliferation of scientific-literature as granular text documents has sparked-off discussions on the reproducibility crisis. According to Sören Auer, director of the Hannover, Germany based Leibniz Information Centre for Science and Technology and University Library (TIB), there is a need to rethink document-centered knowledge exchange.

At its core, knowledge-based information flows are distributed and decentralized, collaborative creation and evolution of information models, vocabularies, ontologies, and knowledge graphs. Therefore, developments in knowledge representation, semantic search, human-machine interaction, natural language processing and artificial intelligence can be leveraged to reconsider document-centered knowledge exchange. In addition, these developments can be used to transform document-centered knowledge exchange into knowledge-based information flows by representing and expressing knowledge through semantically rich, interlinked graphs.

However, to realize the vision of knowledge-based information flows in scholarly communication and to secure information sovereignty, comprehensive long-term technological infrastructure development, and accompanying research are required. Hence, TIB has published a position paper on Open Research Knowledge Graph.

Click here to know how TIB aims to facilitate the discussion on requirements, design decisions and a minimum viable product in collaboration with interested partner organizations and individuals.

Brought to you by Scope e-Knowledge Center, an SPi Global Company, a trusted global partner for Digital Content Transformation Solutions, Knowledge Modeling (Taxonomies, Thesauri and Ontologies), Abstracting & Indexing (A&I), Metadata Enrichment and Entity Extraction.

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