Proceedings of the International Conference on Dublin Core and Metadata Applications (DCMI)
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Dolmen: A Linked Open Data Model to Enhance Museum Object Descriptions
No full textThis paper presents the DOLMEN project (Linked Open Data:
Museums and Digital Environment), offering to develop a linked open data model
that will allow Canadian museums to disseminate the rich and sophisticated
content emanating from their various databases and to, in turn, make their
cultural and heritage collections more accessible to future generations. The
rationale, specific objectives, proposed methodology and expected benefits are
briefly presented and explained
Metadata for Improving Transparency in the Credentialing Marketplace
No full textThis presentation describes the Credential Transparency Description Language (CTDL) --an RDF schema-- and a set of open source applications intended to support rich description of credentials througout the credentialing ecosystem. The metadata infrastructure enabled by the CTDL and the open-licensed software will continuously capture, connect, archive and share metadata about credentials, credentialing organizations, quality assurance organizations, competency frameworks, and additional metadata as needed to support an open applications marketplace. The presentation includes a review of the CTDL resources and development processes and will demonstrate how the CTDL schema is used for publishing RDF metadata to the Credential Engine Registry (CER), how an application profile of the CTDL is used by the CER to validate the quality of incoming metadata, and how the open application marketplace can evolve by demonstrating the Workit Search App prototype that consumes metadata from the CER. The presentation will include discussion of the planned development of CTDL-Lite as a markup extension to schema.org
An Exploratory Study of the Description Field in the Digital Public Library of America
No full textThis paper presents results of an exploratory quantitative
analysis regarding the application of a free-text Description metadata element
and data values associated with this element. It uses a dataset containing over
11.6 million item-level metadata records from the Digital Public Library of
America (DPLA), originating from a number of institutions that serve as DPLA’s
content or service hubs. This benchmark study provides empirical quantitative
data about the Description fields and their data values at the hub level (e.g.,
minimum, maximum, and average number of description fields per record; number of
records without free-text description fields; length of data values; etc.) and
provides general analysis and discussion in relation to the findings
Applying the Levels of Conceptual Interoperability Model to a Digital Library Ecosystem--A Case Study
No full textThis paper applies the Levels of Conceptual Interoperability Model to a case study of two cultural heritage institutions with disparate but related collections in an effort to define a maturity model for interoperability between presentations of digitized cultural heritage materials. The Levels of Conceptual Interoperability Model (LCIM) is a progressive model developed by Dr. Andreas Tolk within the field of Modeling and Simulation and systems engineering to be used in determining potential for interoperability between systems. This paper applies the LCIM through a descriptive model to a digital library ecosystem that includes digital collections, digital libraries, and meta-aggregators. This paper seeks to determine if this model is sufficient as a method of measuring the potential for interoperation between systems, metadata, and collections within a digital cultural heritage ecosystem. A maturity model for interoperability within a digital library ecosystem can aid metadata operations specialists in determining the potential for interoperability between systems and collections
Towards the Development of a Metadata Model for a Digital Cultural Heritage Collection with Focus on Provenance Information
No full textThis project report describes the first steps of the
development of a metadata model for the contextualization of heterogeneous
objects from different cultural heritage collections with focus on provenance
information. The project started with the assumption that aims and objectives of
researchers working with cultural heritage collections differ from discipline to
discipline. Accordingly, use cases and requirements for the description of
objects are heterogeneous. To provide a model that would be usable not only
within but also across academic disciplines the project needed to know where
these requirements differ and where they match. Therefore the first part of the
project was focused on the investigation of use cases and requirements. On the
base of the common requirements a generic model will be built that allows the
merging of data from a variety of disciplines using different metadata
standards. The model’s structure will be a combination of prevalent metadata
standards mapped to each other. Another peculiarity of the model will be the
modular design of micro -ontologies, sets of domain-specific class structures
that are, nevertheless, available on a meta-level in terms of substructures.
Applying the DCMI dumb-down principle these subproperties and subclasses will be
assigned to a who-what-where-when model, a base structure for the description of
objects.The project divided the work process of the project into seven steps. As
the project is still work in progress, only four steps will be explained in
detail in this report. The three remaining steps will be presented in an
outlook
Interoperability Workbench -- Collaborative Tool for Publishing Core Vocabularies and Application Profiles
No full textInteroperability workbench is a collaborative data modeling
tool for creating and publishing Core vocabularies and Application profiles.
Workbench is based on the interoperability framework that integrates workflows
for managing controlled vocabularies, metadata models and reference data.
Presented framework and implemented tool provides a single tool for creating and
publishing core vocabularies and domain specific application
profiles
Topic maps for digital scholarly monographs
No full textThis presentation outlines work on a new approach to digital scholarly monograph subject metadata currently being undertaken by New York University’s Digital Library Technology Services department as part of the Mellon-funded grant project, Enhanced Networked Monographs (ENM)
A Survey of Metadata Use for Publishing Open Government Data in China
No full textOpen government data (OGD) is one important type of open
data which grows fast all round the world. Many governments and organizations
have already put their data online to the public. At the same time, linked data
which conducted by W3C provides the publish mechanism and technical
recommendation to explore the linkage of open data. Linked data promote the
openness and availability of open data. Currently, 1,443 government related
datasets are retrieved from datahub.io. This presentation will report on the
state of metadata use of OGD in China. We investigate eight typical cases of
China OGD which includes three levels (nation, province and city)
SEPIA Project: Providing Access to Digital Image Content for the Blind and Visually Impaired
No full textCreated with the Blind and Visually Impaired as the designated community, this project embodies methodology and a use case scenario for utilizing new data model to enhance and optimize metadata for compatibility with screen readers. This paper presents an introduction to the SEPIA project (SEmantic Photographic Image Annotation). The following details reconceptualizing metadata and HTML tags to provide the ability to create a new platform for access
Facilitating Information Sharing and Collaboration through Taxonomy at the Federal Reserve Board
No full textThe Research Library at the Federal Reserve Board developed the Board Subject Taxonomy (BST) by organizing and standardizing key concepts in a vocabulary of subject terms that describe research and policy work conducted at the Board. The goal was not just to have a taxonomy; rather, we sought a way to better facilitate sharing, collaboration, and discovery across information systems. To that end, the Library staff has developed several tools to make the taxonomy bridge across systems to build new relationships and connections across disparate sources. The BST acts as a critical semantic link to bring together data, researchers, and publications that were previously isolated from each other. The BST is currently deployed in a data inventory (DataFinder), research publication repository (OneBoard Research), an expert directory (Board Expert Finder), and a researcher index (Economist Similarity Index). The significance of the Board Subject Taxonomy is that it brings together research and interests using the Federal Reserve vernacular, to help transcend the silos of information in our agency. The BST is central to metadata quality as it helps keep all the different tools we developed in line with each other and makes interoperability possible