Proceedings of the International Conference on Dublin Core and Metadata Applications (DCMI)
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    455 research outputs found

    Use of Authorities Open Data in the ARROW Rights Infrastructure

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    Proceedings of the International Conference on Dublin Core and Metadata Applications (DCMI)
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