scholarly journals Genuine semantic publishing

Data Science ◽  
2017 ◽  
Vol 1 (1-2) ◽  
pp. 139-154 ◽  
Author(s):  
Tobias Kuhn ◽  
Michel Dumontier
Keyword(s):  
Semantic Publishing

scholarly journals Automating semantic publishing

Data Science ◽  
2017 ◽  
Vol 1 (1-2) ◽  
pp. 155-173 ◽  
Author(s):  
Silvio Peroni
Keyword(s):  
Semantic Publishing

Framing a new agenda for semantic publishing

2011 ◽  
pp. 491-507
Author(s):  
Bill Cope ◽  
Mary Kalantzis
Keyword(s):  
Semantic Publishing

Tackling complexity in an interdisciplinary scholarly network: Requirements for semantic publishing

First Monday ◽  
2016 ◽  
Author(s):  
Nora Schmidt
Keyword(s):  
Semantic Web ◽  
Scholarly Communication ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Basic Model ◽  
The Media ◽  
Information Professionals ◽  
State Of Research ◽  
Semantic Publishing ◽  
Interdisciplinary Network

Scholarly communication is complex. The clarification of concepts like “academic publication”, “document”, “semantics” and “ontology” facilitates tracking the limitations and benefits of the media of the current publishing system, as well as of a possible alternative medium. In this paper, requirements for such a new medium of scholarly communication, labeled Scholarly Network, have been collected and a basic model has been developed. An interdisciplinary network of concepts and assertions, created with the help of Semantic Web technologies by scholars and reviewed by peers and information professionals, can provide a quick overview of the state of research. The model picks up the concept of Nanopublications, but maps information in a more granular way. For a better understanding of which problems have to be solved by developing such a publication medium, e.g., inconsistency, theories of Radical Constructivism are of great help.

scholarly journals HealthFinland—A national semantic publishing network and portal for health information

2009 ◽  
Vol 7 (4) ◽  
pp. 287-297 ◽  
Author(s):  
Osma Suominen ◽  
Eero Hyvönen ◽  
Kim Viljanen ◽  
Eija Hukka
Keyword(s):  
Health Information ◽  
Semantic Publishing

scholarly journals Research Articles in Simplified HTML: a Web-first format for HTML-based scholarly articles

2017 ◽  
Vol 3 ◽  
pp. e132 ◽  
Author(s):  
Silvio Peroni ◽  
Francesco Osborne ◽  
Angelo Di Iorio ◽  
Andrea Giovanni Nuzzolese ◽  
Francesco Poggi ◽  
...  
Keyword(s):  
New Technologies ◽  
Data Extraction ◽  
Evaluation Study ◽  
Research Articles ◽  
Semantic Annotations ◽  
Semantic Data ◽  
Scholarly Article ◽  
Definition Of ◽  
Access To Data ◽  
Semantic Publishing

PurposeThis paper introduces the Research Articles in Simplified HTML (or RASH), which is a Web-first format for writing HTML-based scholarly papers; it is accompanied by the RASH Framework, a set of tools for interacting with RASH-based articles. The paper also presents an evaluation that involved authors and reviewers of RASH articles submitted to the SAVE-SD 2015 and SAVE-SD 2016 workshops.DesignRASH has been developed aiming to: be easy to learn and use; share scholarly documents (and embedded semantic annotations) through the Web; support its adoption within the existing publishing workflow.FindingsThe evaluation study confirmed that RASH is ready to be adopted in workshops, conferences, and journals and can be quickly learnt by researchers who are familiar with HTML.Research LimitationsThe evaluation study also highlighted some issues in the adoption of RASH, and in general of HTML formats, especially by less technically savvy users. Moreover, additional tools are needed, e.g., for enabling additional conversions from/to existing formats such as OpenXML.Practical ImplicationsRASH (and its Framework) is another step towards enabling the definition of formal representations of the meaning of the content of an article, facilitating its automatic discovery, enabling its linking to semantically related articles, providing access to data within the article in actionable form, and allowing integration of data between papers.Social ImplicationsRASH addresses the intrinsic needs related to the various users of a scholarly article: researchers (focussing on its content), readers (experiencing new ways for browsing it), citizen scientists (reusing available data formally defined within it through semantic annotations), publishers (using the advantages of new technologies as envisioned by the Semantic Publishing movement).ValueRASH helps authors to focus on the organisation of their texts, supports them in the task of semantically enriching the content of articles, and leaves all the issues about validation, visualisation, conversion, and semantic data extraction to the various tools developed within its Framework.

scholarly journals Dpaper: An Authoring Tool for Extractable Digital Papers

2017 ◽  
Vol 1 (1) ◽  
pp. 86-97
Author(s):  
Xiaoqiu Le ◽  
Chenyu Mao ◽  
Yuanbiao He ◽  
Changlei Fu ◽  
Liyuan Xu
Keyword(s):  
Digital Publishing ◽  
Authoring Tool ◽  
Web Pages ◽  
Text Data ◽  
Digital Paper ◽  
Content Organization ◽  
Object Based ◽  
Rich Media ◽  
Digital Objects ◽  
Semantic Publishing

AbstractPurposeTo develop a structured, rich media digital paper authoring tool with an object-based model that enables interactive, playable, and convertible functions.Design/methodology/approachWe propose Dpaper to organize the content (text, data, rich media, etc.) of dissertation papers as XML and HTML5 files by means of digital objects and digital templates.FindingsDpaper provides a structured-paper editorial platform for the authors of PhDs to organize research materials and to generate various digital paper objects that are playable and reusable. The PhD papers are represented as Web pages and structured XML files, which are marked with semantic tags.Research limitationsThe proposed tool only provides access to a limited number of digital objects. For instance, the tool cannot create equations and graphs, and typesetting is not yet flexible compared to MS Word.Practical implicationsThe Dpaper tool is designed to break through the patterns of unstructured content organization of traditional papers, and makes the paper accessible for not only reading but for exploitation as data, where the document can be extractable and reusable. As a result, Dpaper can make the digital publishing of dissertation texts more flexible and efficient, and their data more assessable.Originality/valueThe Dpaper tool solves the challenge of making a paper structured and object-based in the stage of authoring, and has practical values for semantic publishing.

scholarly journals OpenBiodiv: A Knowledge Graph for Literature-Extracted Linked Open Data in Biodiversity Science

Publications ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 38 ◽  
Author(s):  
Lyubomir Penev ◽  
Mariya Dimitrova ◽  
Viktor Senderov ◽  
Georgi Zhelezov ◽  
Teodor Georgiev ◽  
...  
Keyword(s):  
Open Data ◽  
Open Science ◽  
Graph Database ◽  
Global Biodiversity Information Facility ◽  
Science Practices ◽  
Biodiversity Knowledge ◽  
Biodiversity Science ◽  
Description Framework ◽  
Semantic Publishing ◽  
Resource Description

Hundreds of years of biodiversity research have resulted in the accumulation of a substantial pool of communal knowledge; however, most of it is stored in silos isolated from each other, such as published articles or monographs. The need for a system to store and manage collective biodiversity knowledge in a community-agreed and interoperable open format has evolved into the concept of the Open Biodiversity Knowledge Management System (OBKMS). This paper presents OpenBiodiv: An OBKMS that utilizes semantic publishing workflows, text and data mining, common standards, ontology modelling and graph database technologies to establish a robust infrastructure for managing biodiversity knowledge. It is presented as a Linked Open Dataset generated from scientific literature. OpenBiodiv encompasses data extracted from more than 5000 scholarly articles published by Pensoft and many more taxonomic treatments extracted by Plazi from journals of other publishers. The data from both sources are converted to Resource Description Framework (RDF) and integrated in a graph database using the OpenBiodiv-O ontology and an RDF version of the Global Biodiversity Information Facility (GBIF) taxonomic backbone. Through the application of semantic technologies, the project showcases the value of open publishing of Findable, Accessible, Interoperable, Reusable (FAIR) data towards the establishment of open science practices in the biodiversity domain.

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