Leveraging Concepts in Open Access Publications. https://hal.inria.fr/hal-01981922
This paper addresses the integration of a Named Entity
Recognition and Disambiguation (NERD) service within a group of open
access (OA) publishing digital platforms and considers its potential
impact on both research and scholarly publishing. The software powering
this service, called entity-fishing, was initially developed by Inria in
the context of the EU FP7 project CENDARI and provides automatic entity
recognition and disambiguation using the Wikipedia and Wikidata data
sets. The application is distributed with an open-source licence, and it
has been deployed as a web service in DARIAH’s infrastructure hosted by
the French HumaNum. In the paper, we focus on the specific issues
related to its integration on five OA platforms specialized in the
publication of scholarly monographs in the social sciences and
humanities (SSH), as part of the work carried out within the EU H2020
project HIRMEOS (High Integration of Research Monographs in the European
Open Science infrastructure). In the first section, we give a brief
overview of the current status and evolution of OA publications,
considering specifically the challenges that OA monographs are
encountering. In the second part, we show how the HIRMEOS project aims
to face these challenges by optimizing five OA digital platforms for the
publication of monographs from the SSH and ensuring their
interoperability. In sections three and four we give a comprehensive
description of the entity-fishing service, focusing on its concrete
applications in real use cases together with some further possible ideas
on how to exploit the annotations generated. We show that
entity-fishing annotations can improve both research and publishing
process. In the last chapter, we briefly present further possible
application scenarios that could be made available through
infrastructural projects.
via https://www.univie.ac.at/voeb/blog/?p=48355
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