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

    A Language Independent Approach for Aligning Subject Heading Systems with Geographic Ontologies

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    Subject headings systems are tools for organization of knowledge that have been developed over the years by libraries. The SKOS Simple Knowledge Organization System provides a practical way to represent subject headings systems, and several libraries have taken the initiative to make these systems widely available as open linked data. Each individual subject heading describes a concept, however, in the majority of cases, one subject heading is actually a combination of several concepts, such as a topic bounded in geographical and temporal scopes. In these cases, the label of the concept actually contains several concepts which are not represented in structured form. This paper address the alignment of the geographic concepts described in subject headings systems with their correspondence in geographic ontologies. Our approach first recognizes the place names in the subject headings using entity recognition techniques and follows with the resolution of the place names in a target geographic ontology. The system is based on machine learning and was designed to be language independent so that it can be applied to the many existing subject headings systems. Our approach was evaluated on a subset of the Library of Congress Subject Headings, achieving an F1 score of 93%

    Extending DCAM for Metadata Provenance

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    The Metadata Provenance Task Group aims to define a data model that allows for making assertions about description sets. Creating a shared model of the data elements required to describe an aggregation of metadata statements allows to collectively import, access, use and publish facts about the quality, rights, timeliness, data source type, trust situation, etc. of the described statements. In this paper we outline the preliminary model created by the task group, together with first examples that demonstrate how the model is to be used

    Metadata for a Micro-services-based Digital Curation System

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    The Libraries and Information Technology Services at the Pennsylvania State University are in the process of developing a service architecture for supporting digital curation and preservation activity at the university. This system, called Curation Architecture Prototype Services (CAPS), is built on the micro-services approach to digital curation pioneered by the California Digital Library. The paper details methods and philosophies related to metadata development for this system, and how those methods align with the general approach of the micro-services model. The current state of production of this architecture is detailed, along with future metadata services to be embedded in the system, and how those services will be deployed in collaboration with its stakeholders

    Scherzo: A FRBR-Based Music Discovery System

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    The Scherzo music discovery system is one deliverable from the Variations/FRBR (V/FRBR) project at Indiana University (Riley, 2010). The objective of the V/FRBR project is to provide a real-world test of the Functional Requirements for Bibliographic Records (FRBR) model (IFLA, 1998) in the domain of music. In addition to creating a schema and FRBRization algorithm to populate a repository with data drawn from MARC bibliographic records, one experiment in the utility of the FRBR model has been to create a discovery system based on the FRBRized data, to explore the value of exposing FRBR structuring in the discovery interface

    Introductions and Committees

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    Metadata Approaches for Shareable and LOD-enabled Bibliographic Data from Open Repositories

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    This poster presents the processes and paths of the authors who have recently prepared a report on descriptive metadata encoding recommendations for an European project, VOA3R (Virtual Open Access in Agriculture and Aquaculture Repository), which aims to deploy a virtual entry-point for exchanging and augmenting open bibliographic data, and thus improve the dissemination of research results in agriculture and aquaculture via open access. Specifically, our task was to prepare a report with a suggested title of "Recommendations for the Content Population of the VOA3R Service Provider". Since the VOA3R Federation consists of 17 institutions from 13 countries contributing proximately two million bibliographic records to eight open repositories, the immediate need was for the analysis of the number and characteristics of the open access documents that will be accessible from VOA3R. Following this task, the next step was to propose encoding recommendations for the exchange of metadata between data providers and the VOA3R platform. Along with the wave of the Linked Open Data (LOD) movement, the VOA3R project required that the recommendations should also be suitable for encoding with consideration to Linked Open Data

    Profiling Transformations in Heterogeneous and Large Scale Metadata Harvesting Processes

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    most organizations communicate automatically with each other through their information systems and the Internet. When those data structures are not unique, data transformation is a required process. Two fundamental issues of that process are the interpretation of the source and destination schemas, and the definition of the mapping relating them. The definition of these mappings can also be called schema matching. Matching can be performed through two distinct methods, manually by humans or automatically by algorithms. Since matching can be a non-deterministic process, it suites best the manual process, but when the schemas are complex (and especially when there is an incomplete knowledge of the source schema) it might require a large intellectual effort. In these scenarios automatic processes can be used to produce drafts of the mapping, to be corrected and accepted later by a human. The motivation of this work is to contribute to improving interoperability in heterogeneous and large-scale data integration processes in the scope of digital libraries. Libraries, archives, museums and other related organizations face the need to share their resource descriptive metadata

    data.europeana.eu: The Europeana Linked Open Data Pilot

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    data.europeana.eu is an ongoing effort of making Europeana metadata available as Linked Open Data on the Web. It allows others to access metadata collected from Europeana data providers via standard Web technologies. The data are represented in the Europeana Data Model (EDM) and the described resources are addressable and dereferencable by their URIs. Links between Europeana resources and other resources in the Linked Data Web will enable the discovery of semantically related resources. We developed an approach that allows Europeana data providers to opt for their data to become Linked Data and converts their metadata to EDM, benefiting from Europeana efforts to link them to semantically related resources on the Web. With that approach, we produced a first Linked Data version of Europeana and published the resulting datasets on the Web. We also gained experiences with respect to EDM, HTTP URI design, and RDF store performance and report them in this paper

    Facet Analysis of Archival Metadata Standards to Support Appropriate Selection, Combination and Use of Metadata Schemas

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    Metadata is one of the keys for digital archiving and preservation. This is well recognized as an important issue in our networked information society. There are several standards for archival and preservation metadata, e.g. ISAD(G), EAD, AGRkMS, PREMIS, and OAIS. This leads to selection and interoperability issues for metadata standards in the design of metadata schemas for particular archival systems. This paper identifies features of metadata standards to appropriately select, combine and use them in the resource lifecycle. We present a feature analysis of the metadata standards by identifying the primary resource lifecycle stage(s) where a standard would be applied. Based on this feature analysis, this paper proposes a framework to help selection, combination and use of metadata schemas for digital archiving and preservation. Then, we propose to categorize metadata elements using 5W1H attributes ? What, Why, Where, Who, When and How ? coupled with a task model derived from the resource lifecycle. In this study, metadata elements of the chosen standards are categorized using the 5W1H attributes and mapped to each other. The mappings are grouped and sorted in accordance with the task model. The 5W1H and task models are applied to six element sets chosen from major metadata standards. Thus, the proposed models help us identify contexts of descriptive elements and define crosswalks among standards

    Towards Contextually Descriptive Embedded Metadata

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    Contextually descriptive embedded metadata has been utilized in a number of applications. Many HTML webpages contain meta tags with information reflecting the content of the page. Likewise, microformats are continually striving to make web documents more accessible by embedding descriptive data. One widely known application of contextually descriptive embedded metadata is found in digital music files such as the MP3 format; this format contains embedded data such as artist and song title information. However, digital images, ubiquitous throughout digital archives, are a medium that has been slow to experience this technology. While recent advancements in using embedded metadata in administrative and structural work flow situations have been made the focus of our work is on contextually descriptive metadata. This type of information would represent metadata such as an artist name or the title of a painting. Advocating and promoting the creation and usage of contextually descriptive embedded metadata supports the digital push towards semantic-based, readable archival programming and the subsequent effective ease of use it provides file creators and end users alike

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