A map of Digital Humanities research across bibliographic data sources

This study presents the results of an experiment we performed to measure the coverage of Digital Humanities (DH) publications in mainstream open and proprietary bibliographic data sources, by further highlighting the relations among DH and other disciplines. We created a list of DH journals based on manual curation and bibliometric data. We used that list to identify DH publications in the bibliographic data sources under consideration. We used the ERIH-PLUS list of journals to identify Social Sciences and Humanities (SSH) publications. We analysed the citation links they included to understand the relationship between DH publications and SSH and non-SSH fields. Crossref emerges as the database containing the highest number of DH publications. Citations from and to DH publications show strong connections between DH and research in Computer Science, Linguistics, Psychology, and Pedagogical & Educational Research. Computer Science is responsible for a large part of incoming and outgoing citations to and from DH research, which suggests a reciprocal interest between the two disciplines. This is the first bibliometric study of DH research involving several bibliographic data sources, including open and proprietary databases. The list of DH journals we created might be only partially representative of broader DH research. In addition, some DH publications could have been cut off from the study since we did not consider books and other publications published in proceedings of DH conferences and workshops. Finally, we used a specific time coverage (2000-2018) that could have prevented the inclusion of additional DH publications

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR Knowledge Graph of Everything: We increasingly see the creation of knowledge graphs that capture information about the entirety of a class of entities. [...] This grand challenge extends this further by asking if we can create a knowledge graph of "everything" ranging from common sense concepts to location based entities. This knowledge graph should be "open to the public" in a FAIR manner democratizing this mass amount of knowledge." Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything. Surely, LOD provides a unique testbed for experimenting and evaluating research hypotheses on open and FAIR KG. One of the most neglected FAIR issues about KGs is their ongoing evolution and long term preservation. We want to investigate this problem, that is to understand what preserving and supporting the evolution of KGs means and how these problems can be addressed. Clearly, the problem can be approached from different perspectives and may require the development of different approaches, including new theories, ontologies, metrics, strategies, procedures, etc. This document reports a collaborative effort performed by 9 teams of students, each guided by a senior researcher as their mentor, attending the International Semantic Web Research School (ISWS 2019). Each team provides a different perspective to the problem of knowledge graph evolution substantiated by a set of research questions as the main subject of their investigation. In addition, they provide their working definition for KG preservation and evolution

RAJE: RAsh Javascript Editor

Anno dopo anno, specialmente per quanto riguarda la comunità del Semantic Web, molti ricercatori per far fronte ai problemi che il formato PDF porta con se (dalla di coltà ad essere interpretato dai calcolatori all’inaccessibilità per utenti con disabilità visive), hanno iniziato a parlare di ”pubblicazione accademica in HTML”. Ad oggi alcune conferenze e journal hanno iniziato ad accettare articoli scienti ci e paper in questo formato: EKAW, PeerJ e Springer. Uno dei problemi principali di HTML è la sua grande quantità di elementi, che può portare ad ambiguità da parte di due o più elementi visualizzati nello stesso modo, ma semanticamente diversi. RASH è un sotto- insieme di elementi HTML, 32 per la precisione, che si occupano di de nire una sintassi chiara e semplice per documenti scienti ci in HTML, al ne di, tra le altre cose, eliminare ambiguità tra gli elementi. Gli autori e i ricercatori che adottano RASH come formato, sanno che hanno a loro disposizione il framework RASH, che consente di visualizzare, validare e convertire il documento. RASH e il suo framework sono basati sulla più completa libertà da parte degli utenti ad utilizzare i tool che più preferiscono, anche autori che scelgono di creare documenti con altri formati o editor, per esempio Microsoft Word e OpenO ce, sono completamente supportati e coperti dalla conversione in RASH. Il normale sviluppo di un articolo RASH, non convertito da altri formati, ad ora avviene tramite text o markup editor, che necessitano di alcune, seppur minime, conoscenze di HTML. Una parte che il framework non è riuscita ancora a coprire è la sempli cazione della redazione di un articolo RASH. Questa tesi parla di RAJE che è l’editor WYSIWYG che produce documenti RASH ben formattati e validati, nascondendo la di coltà e le tecnicità agli utenti. Il documento in output è pronto per essere convertiti in formato TeX e inviati a conferenze, giornali scienti ci o workshop

Querying Art History Data on the Web (6): Working with digital images and IIIF

What is IIIF? How can you work with it in connection with your own (image-related) projects? This video is part of the series Querying Museum Data/ Art History Data on the Web. It was created by PD Dr. Angela Dreßen (Andrew W. Mellon Librarian), Gianmarco Spinaci (Digital Humanities Research Associate at I Tatti) and Elodie Sacher as a cooperation of the I TATTI Harvard University Center for Italian Renaissance Studies, the Technische Universität Dresden and the Project Digital4Humanities at the Friedrich-Schiller-Universität Jena. For further information visit the Digital4Humanities-website: https://www.gw.uni-jena.de/fakultaet/juniorprofessur-fuer-digital-humanities-bild-objekt/forschung/Digital4Humanitie

Outcomes of a user testing session involving six users in writing a scholarly article with RAJE

Outcomes of experimenting RASH Javascript Editor (RAJE)<br><br>These are the outcome results of the first RAJE test. All testers are anonymous.<br><br>Content of the archive:<br>1. <b>background.csv</b> It contains the answers from testers about own background experience<br>2. <b>sus.csv</b> It contains the answers of SUS questions<br>3. <b>grounded_analysis.ods</b> It contains the raw-text answers to capture feedback and produce the grounded analysis, and the result tables (with micro and macro cateogries).<br>4. <b>result_screens/</b> It is a folder containing the screenshots of the result scripts.<br><br

The rash javascript editor (raje): A wordprocessor for writing web-first scholarly articles

The most used format for submitting and publishing papers in the academic domain is the Portable Document Format (PDF), since its possibility of being rendered in the same way independently from the device used for visualising it. However, the PDF format has some important issues as well, among which the lack of interactivity and the low degree of accessibility. In order to address these issues, recently some journals, conferences, and workshops have started to accept also HTML as Web-first submission/publication format. However, most of the people are not able to produce a well-formed HTML5 article from scratch, and they would, thus, need an appropriate interface, e.g. a word processor, for creating such HTML-compliant scholarly article. To provide a solution to the aforementioned issue, in this paper we introduce the RASH JavaScript Editor (a.k.a. RAJE), which is a multi platform word processor for writing scholarly articles in HTML natively. RAJE allows authors to write research papers by means of a user-friendly interface hiding the complexities of HTML5. We also discuss the outcomes of a user study where we asked some researchers to write a scientific paper using RAJE

essepuntato/rash: RASH Framework 0.6.1

This release contains the most updated code of the whole framework referring to the RASH version 0.6.1