Key Issues Regarding Digital Libraries: Evaluation and Integration

Shen, Rao; Gonçalves, Marcos André; Fox, Edward A.

doi:10.2200/s00474ed1v01y201301icr026

Cited by 18 publications

(9 citation statements)

References 82 publications

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“…Our work is focused on the last criterion. Relevant works in the literature during the last decades confirm this perception [31][32][33][34][35][36]. Most of the Journal of Information Science, 2015, pp.…”

Section: Related Workmentioning

confidence: 77%

Improving the geospatial consistency of digital libraries metadata

Rentería-Agualimpia

López-Pellicer

Lacasta

et al. 2015

Journal of Information Science

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Consistency is an essential aspect of the quality of metadata. Inconsistent metadata records are harmful: given a themed query, the set of retrieved metadata records would contain descriptions of unrelated or irrelevant resources, and would even do not contain some resources considered obvious. This is even worse in when the description of the location is inconsistent. Inconsistent spatial descriptions may yield invisible or hidden geographical resources that cannot be retrieved by means of spatially themed queri es. Therefore, ensuring spatial consistency should be a primary goal when reusing, sharing and developing georeferenced digital collections. We present a methodology able to detect geospatial inconsistencies in metadata collections based on the combination of spatial ranking, reverse geocoding, geographic knowledge organization systems, and information retrieval techniques. This methodology has been applied to a collection of metadata records describing maps and atlases belonging to the Library of Congress. The proposed approach was able to identify automatically inconsistent metadata records (870 out of 10,575) and propose fixes to most of them (91.5%) These results support that the proposed methodology could assess the impact of spatial inconsistency in the retrievability and visibility of metadata records and improve their spatial consistency.

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Section: Related Workmentioning

confidence: 77%

Improving the geospatial consistency of digital libraries metadata

Rentería-Agualimpia

López-Pellicer

Lacasta

et al. 2015

Journal of Information Science

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“…For instance, Ochoa and Duval (2006) proposed quality metrics for completeness, information content, and readability of metadata records in DL of Learning Objects. Shen et al (2013) also proposed mathematical formulae for accuracy, completeness and conformance (a dimension that is partially equivalent to the idea of domain consistency of other authors) of DL metadata.…”

Section: State Of the Artmentioning

confidence: 99%

A method for checking the quality of geographic metadata based on ISO 19157

Ureña-Cámara

Nogueras-Iso

Lacasta

et al. 2018

International Journal of Geographical Information Science

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With recent advances in remote sensing, location-based services and other related technologies, the production of geospatial information has exponentially increased in the last decades. Furthermore, to facilitate discovery and efficient access to such information, spatial data infrastructures were promoted and standardized, with a consideration that metadata is essential to describing data and services. Standardization bodies such as the International Organization for Standardization have defined well-known metadata models such as ISO 19115. However, current metadata assets exhibit heterogeneous quality levels because they are created by different producers with different perspectives. To address quality-related concerns, several initiatives attempted to define a common framework and test the suitability of metadata through automatic controls. Nevertheless, these controls are focused on interoperability by testing the format of metadata and a set of controlled elements. In this paper, we propose a methodology of testing the quality of metadata by considering aspects other than interoperability. The proposal adapts ISO 19157 to the metadata case and has been applied to a corpus of the Spanish Spatial Data Infrastructure. The results demonstrate that our quality check helps determine different types of errors for all metadata elements and can be almost completely automated to enhance the significance of metadata.

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“…Supporting all of those are integration methods, along with suitable schemes for evaluation [4]. By discussing all these topics we make clear that the 5S framework provides a comprehensive theoretical foundation for the field of digital libraries [1].…”

Section: Introductionmentioning

confidence: 99%

Introduction to Digital Libraries

Fox

2016

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries

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This tutorial is a thorough and deep introduction to the Digital Libraries (DL) field, providing a firm foundation: covering key concepts and terminology, as well as services, systems, technologies, methods, standards, projects, issues, and practices. It introduces and builds upon a firm theoretical foundation (starting with the '5S' set of intuitive aspects: Streams, Structures, Spaces, Scenarios, Societies), giving careful definitions and explanations of all the key parts of a 'minimal digital library', and expanding from that basis to cover key DL issues. Illustrations come from a set of case studies. Attendees will be exposed to four Morgan and Claypool books that elaborate on 5S, published 2012-2014. Complementing the coverage of '5S' will be an overview of key aspects of the DELOS Reference Model and DL.org activities. Further, use of a Hadoop cluster supporting DLs will be described.

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Key Issues Regarding Digital Libraries: Evaluation and Integration

Cited by 18 publications

References 82 publications

Improving the geospatial consistency of digital libraries metadata

Improving the geospatial consistency of digital libraries metadata

A method for checking the quality of geographic metadata based on ISO 19157

Introduction to Digital Libraries

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