Proceedings of the International Conference on Dublin Core and Metadata Applications (DCMI)
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Use of Authorities Open Data in the ARROW Rights Infrastructure
The ARROW rights infrastructure provides the means to support mass digitisation
projects by finding automated ways to clear the rights situation of books to be digitised. ARROW provides
seamless interoperability across a distributed network of national data sources, which contain essential
information for determining the rights status of works, including national bibliographies from national
libraries, books-in-print databases, and rights-holders databases. This paper presents how open data about
authors, from the Virtual International Authority File (VIAF) is being used in ARROW to support the data
interoperability across ARROW data sources, and how it is being used for the outputs of the rights clearance
process
Maps and Gaps: Strategies for Vocabulary Design and Development
In this paper we discuss changes in the vocabulary development landscape, their
origins, and future implications, via analysis of several existing standards. We examine the role of
semantics and mapping in future development, as well as some newer vocabulary building activities and
their strategies
OpenAIRE Guidelines for Data Archive, Literature Repository and CRIS Managers
Exposure and visibility of content from a range of European repositories will
be significantly increased when a common and interoperable approach is taken and care to adhere to
existing guidelines. This compatibility will lead to future interoperability between research
infrastructures, and structured metadata is of benefit to individual data repositories and the knowledge
community at large. OpenAIRE is starting to move from a publication infrastructure to a more comprehensive
infrastructure that covers all types of scientific output. To put this into practice an integrated suite
of guidelines were developed with specific requirements to support the goal of OpenAIRE and the European
Commission. The poster will briefly outline the OpenAIRE Guidelines: Guidelines for Data Archive Managers,
for Literature Repository Managers and for CRIS Managers. By implementing all three sets of the OpenAIRE
Guidelines, repository managers will be able to enable authors who deposit publications in their repository
to fulfill the EC Open Access requirements, as well as the requirements of other (national or international)
funders with whom OpenAIRE cooperates. In addition it will allow the OpenAIRE infrastructure to add
value-added services such as discoverability and linking, and creation of enhanced publications.
In short, building the stepping-stones for a linked data infrastructure for research
Linked Data Based Library Web Services For Economics
A large number of library metadata
resources have become available as Linked Open Data (LOD) in the last two years. We see,
however, not much re-use of this data in library applications. The paper discusses
hurdles for a broader adoption of such resources. It suggests building lightweight
REST-oriented web service interfaces which fit well in the Web 2.0/Mash-up mindset of
the majority of application programmers. Exemplifying this approach in the field of
economics, we built and published Web Services for Economics
(http://zbw.eu/beta/econ-ws) based on a thesaurus, a classification, a personal and a
corporate names authority file, all on economics, and interdisciplinary mappings to
other terminological resources. Furthermore, we demonstrate how these services are
integrated in real-life library applications and how authoring and publishing platforms
can be enhanced to make use of them
A Model to Support Interpretation of Embedded Metadata without Formal Schema by Linking a Metadata Instance to DCMI Description Set Profiles
There are a number of HTML documents which include
metadata on the Web and a number of information services which provide metadata embedded
using metadata standards across domains. Those metadata are, however, encoded in various
different schemas and in different serialization formats, which makes it hard to
automatically extract and interpret the metadata. The primary reason of the difficulty
is the lack of interpretation rules of the metadata, e.g., lack of definition of
metadata vocabularies, lack of definition of encoding syntax and so forth. This paper
proposes a model to support interpretation of embedded metadata without formal schema by
linking a metadata instance to DCMI Description Set Profiles (DSP). An XPath expression
addresses a metadata instance encoded in HTML, and DSP define metadata schema. We
propose extending DSP to include XPath for linking a metadata instance to a metadata
schema. This paper also shows an experimental system which extracts metadata using
extended DSP
Proof and Trust in the OpenAGRIS Implementation
The AGRIS repository is a bibliographic database covering
almost forty years of agricultural research. Following the conversion of its indexing
thesaurus AGROVOC into a concept-based vocabulary, the decision was made to express the
entire AGRIS repository in RDF as Linked Open Data. As part of this exercise, a semantic
mashup named OpenAGRIS was developed in order to access the records and use them to
dynamically display related data from external systems through both SPARQL queries and
traditional web services. The overall process raised numerous issues regarding the
relative lack of administrative metadata required to compellingly address the top proof
and trust layers of the semantic web stack, both within the AGRIS repository and in
external data dynamically pulled into OpenAGRIS. The team began by disambiguating and
RDF-izing the journals in which the articles were published but quickly realized this
was only the beginning of a series of necessary activities in moving from a closed to an
open world paradigm. Further disambiguation of institutions, authors and AGRIS centres
as well as the use of named graphs, VoiD properties and emerging provenance and quality
indicator models are discussed and evaluated
Extending Basic Dublin Core Elements for an Open Research Data Archive
In our project
"DATORIUM", we intend to provide a simple, open research data repository which focuses
on social science research data. We encourage researchers to deposit their data and
disseminate them among communities or academic partners. One of the key problems for
long-term archiving is ensuring that the metadata elements are consistent and compatible
with other standards. This paper discusses the use of basic DublinCore elements with
some simple extensions for structuring the data at study level. Moreover, we also depict
the interplay between the emerging combination and the DDI metadata elements,
particularly DDI-Lifecycle, and the possibility of using RDF to bring the data into the
Linked Open Data Cloud
Enriching Webpages with Semantic Information
This paper proposes a tool to automatically enrich webpages with
semantic information by annotating keywords in the document with microdata markup. There
are two case studies described and implemented in this paper. The first case study
focuses on generating new webpages with microdata model and the second case study
focuses on enriching existing webpages with microdata model. This paper also
demonstrates the practicality of schema.org vocabulary as a base model to construct a
referenced ontology and shows how the reference ontology can be used as a resource for
automatically extracting important words and phrases in the webpages. Finally, a
comparative study is conducted and the results show that the proposed approach is more
reliable in terms of performance and flexibility compared to other existing automatic
microdata annotations tools
Recordkeeping Metadata, the Archival Multiverse, and Societal Grand Challenges
This paper provides an overview of key efforts in recent
years by the archival and recordkeeping community, including by these authors, to
identify, apply, exploit and manage recordkeeping metadata to address diverse social,
cultural and technological concerns and imperatives in the archival multiverse. It
reports on a new research project that will build an exemplar metadata-driven
Sustainable Living Archive for Indigenous communities in Australia,
and concludes by outlining an ongoing initiative established in 2011 by the Archival
Education and Research Institutes (AERI) to identify ways in which archival and
recordkeeping systems and metadata can contribute to nationally and
internationally-identified "societal grand challenges" such as climate change, peace and
security, corporate governance, development and democratisation, digital divide, human
rights, the Information Society and technological change, social justice and inclusion,
sustainable communities
A Machine-Processable Dublin Core Application Profile to Analysis Patterns to provide Linked Data
Analysis patterns are reusable
computational artifacts aimed at the analysis stage of the software development process.
Although the analysis patterns can facilitate the work of analysts and developers, the
access to them is still very poor because of the way they are usually described and made
available. The Analysis Patterns Reuse Infrastructure (APRI) was proposed in order to
reduce these deficiencies for supporting, cataloging and encouraging the reuse of
analysis patterns. This infrastructure comprises a repository of analysis patterns
documented through a specific metadata profile and that can be accessed via Web
services. Based on the proposal of APRI, this article presents the specific metadata
profile to the documentation of analysis patterns called Dublin Core Application Profile
for Analysis Patterns (DC2AP). This application profile is described by RDF files and
identified via URI, thus providing Linked Data that increase the potential for reuse of
the analysis patterns