Abstract

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.

Highlights

  • I Challenges and Perspectives for open access (OA) Digital Monographs1 Monographs are the privileged means of communication in the humanities and social sciences; more than essays and other shorter publication formats, they enable scientists to deal with differentiated and complex questions in depth

  • Differentiated monographs are important for the social sciences and the humanities themselves, in that they often open up new research perspectives, i.e. they can be ascribed greater innovative power than articles: The process of constructing and writing a book is often a core way to shape the ideas, structure the argument, and work out the relationship between these and the evidence that has emerged from the research process

  • 2.1 HIRMEOS Aims The main objective of HIRMEOS (High Integration of Research Monographs in the European Open Science infrastructure) is to enhance five European digital platforms for the publication of open access monographs and to ensure their interoperability

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Summary

The H2020 HIRMEOS Project

2.1 HIRMEOS Aims The main objective of HIRMEOS (High Integration of Research Monographs in the European Open Science infrastructure) is to enhance five European digital platforms for the publication of open access monographs and to ensure their interoperability. EKT works with Open Monograph Press (OMP), an Open Source software developed by the Public Knowledge Project to organize the peer review and editorial processes. In Work Packages 2-6, the use of five different data types is being implemented to improve interoperability between platforms and providers with regard to referencing and indexing services These will facilitate the reuse, cross-linking and searchability of content, enable more intensive interaction with users, and strengthen confidence in the quality of published monographs. Publishers that meet the DOAB peer review and open access requirements and have the corresponding licenses are listed in DOAB and can upload the metadata of their open access books Such metadata can be disseminated through the OAI-PMH protocol implemented by third-party providers such as libraries and search services, improving the findability of books. The software developed to collect metrics is provided Open Source, and containerized, as to allow its reuse

Entity Resolution Service
Findings
The entity-fishing service
Full Text
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