DRIVER Technology Watch Report

This report is part of the Discovery Workpackage (WP4) and is the third report out of four deliverables. The objective of this report is to give an overview of the latest technical developments in the world of digital repositories, digital libraries and beyond, in order to serve as theoretical and practical input for the technical DRIVER developments, especially those focused on enhanced publications. This report consists of two main parts, one part focuses on interoperability standards for enhanced publications, the other part consists of three subchapters, which give a landscape picture of current and surfacing technologies and communities crucial to DRIVER. These three subchapters contain the GRID, CRIS and LTP communities and technologies. Every chapter contains a theoretical explanation, followed by case studies and the outcomes and opportunities for DRIVER in this field

An Event-Aware Model for Metadata Interoperability

We describe the ABC modeling work of the Harmony Project. The ABC model provides a foundation for understanding interoperability of individual metadata modules - as described in the Warwick Framework - and for developing mechanisms to translate among them. Of particular interest in this model is an event, which facilitates understanding of the lifecycle of resources and the association of metadata descriptions with points in this lifecycle

Modelling in the Digital Humanities: Conceptual Data Models and Knowledge Organization in the Cultural Heritage Domain

This paper explores the role of model and modelling in the field of Digital Humanities, paying special attention to the cultural heritage domain. In detail, the approach here described adopts a bi-dimensional vision: considering the model as both a process of abstraction, an interpretation from a certain point of view, and a formal language to implement this abstraction in order to create something processable by a machine. The role of conceptual models – to be converted into ontologies – as a semantic deepening of controlled vocabularies, is the translation of this vision. Ontologies are the models used in domain communities in order to share classes and predicates for conceptual interoperability. Thinking of data models as a knowledge organization system is the core of this reflection on Digital Humanities domain

PAV ontology: provenance, authoring and versioning

Provenance is a critical ingredient for establishing trust of published scientific content. This is true whether we are considering a data set, a computational workflow, a peer-reviewed publication or a simple scientific claim with supportive evidence. Existing vocabularies such as DC Terms and the W3C PROV-O are domain-independent and general-purpose and they allow and encourage for extensions to cover more specific needs. We identify the specific need for identifying or distinguishing between the various roles assumed by agents manipulating digital artifacts, such as author, contributor and curator. We present the Provenance, Authoring and Versioning ontology (PAV): a lightweight ontology for capturing just enough descriptions essential for tracking the provenance, authoring and versioning of web resources. We argue that such descriptions are essential for digital scientific content. PAV distinguishes between contributors, authors and curators of content and creators of representations in addition to the provenance of originating resources that have been accessed, transformed and consumed. We explore five projects (and communities) that have adopted PAV illustrating their usage through concrete examples. Moreover, we present mappings that show how PAV extends the PROV-O ontology to support broader interoperability. The authors strived to keep PAV lightweight and compact by including only those terms that have demonstrated to be pragmatically useful in existing applications, and by recommending terms from existing ontologies when plausible. We analyze and compare PAV with related approaches, namely Provenance Vocabulary, DC Terms and BIBFRAME. We identify similarities and analyze their differences with PAV, outlining strengths and weaknesses of our proposed model. We specify SKOS mappings that align PAV with DC Terms.Comment: 22 pages (incl 5 tables and 19 figures). Submitted to Journal of Biomedical Semantics 2013-04-26 (#1858276535979415). Revised article submitted 2013-08-30. Second revised article submitted 2013-10-06. Accepted 2013-10-07. Author proofs sent 2013-10-09 and 2013-10-16. Published 2013-11-22. Final version 2013-12-06. http://www.jbiomedsem.com/content/4/1/3

Crowdsourcing Linked Data on listening experiences through reuse and enhancement of library data

Research has approached the practice of musical reception in a multitude of ways, such as the analysis of professional critique, sales figures and psychological processes activated by the act of listening. Studies in the Humanities, on the other hand, have been hindered by the lack of structured evidence of actual experiences of listening as reported by the listeners themselves, a concern that was voiced since the early Web era. It was however assumed that such evidence existed, albeit in pure textual form, but could not be leveraged until it was digitised and aggregated. The Listening Experience Database (LED) responds to this research need by providing a centralised hub for evidence of listening in the literature. Not only does LED support search and reuse across nearly 10,000 records, but it also provides machine-readable structured data of the knowledge around the contexts of listening. To take advantage of the mass of formal knowledge that already exists on the Web concerning these contexts, the entire framework adopts Linked Data principles and technologies. This also allows LED to directly reuse open data from the British Library for the source documentation that is already published. Reused data are re-published as open data with enhancements obtained by expanding over the model of the original data, such as the partitioning of published books and collections into individual stand-alone documents. The database was populated through crowdsourcing and seamlessly incorporates data reuse from the very early data entry phases. As the sources of the evidence often contain vague, fragmentary of uncertain information, facilities were put in place to generate structured data out of such fuzziness. Alongside elaborating on these functionalities, this article provides insights into the most recent features of the latest instalment of the dataset and portal, such as the interlinking with the MusicBrainz database, the relaxation of geographical input constraints through text mining, and the plotting of key locations in an interactive geographical browser

Implications of BIBFRAME and Linked Data for Libraries and Publishers

This article considers the current situation of transition from the machine-readable cataloging (MARC) formats to the Bibliographic Framework Initiative (BIBFRAME) data model, and the further step to organize and publish catalog information in the emerging linked data technology. The definition and development of new tools to realize the required changes are discussed and an outline provided of the steps being taken by Casalini Libri to ensure the compliance of its bibliographical production and services with the new standards and offer assistance to libraries and publishers in their implementation

Technologies, services and user expectations--Prospects for DARIAH

This DARIAH-DE report gives a complementary view to the first of its kind, entitled "Partnerships, relationships and associated initiatives ", where we analysed the tenets of the DARIAH infrastructure and provided an environmental analysis in order to outline a strategic plan for DARIAH. The present report focuses on "Technologies services and user expectations" with a view to better understand what kinds of concrete services we want to offer to our users, given the developments made within the various DARIAH partners in general, but with a special view on contributions of DARIAH-DE