Moving Our Data to the Semantic Web: Leveraging a Content Management System to Create the Linked Open Library

Thompson, Keri; Richard, Joel M.

doi:10.1080/19386389.2013.828551

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…Finally, Thompson and Richard presented an effort by the Smithsonian Libraries, which attempted not only to improve the management and presentation of their website and digital library content (by migrating to the Drupal content management system) but also to make it available for reuse by its own site and others by publishing it as linked data. For this reason, the Smithsonian Libraries embarked on two projects: the first published bibliographic data taken from the library catalogue as part of its digitisation programme and presented it as RDFa and the second created linked data from a much-cited botanical reference work [125].…”

Section: Linked Data Implementation In the Cultural Heritage Domainmentioning

confidence: 99%

Linked data for libraries: Creating a global knowledge space, a systematic literature review

Gaitanou

Andreou

Sicilia

et al. 2022

Journal of Information Science

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The Semantic Web in general and the Linked Open Data Initiative, in particular, are a growing movement for organisations to make their existing data available in a machine-readable format. Thus, institutions are highly encouraged to publish, share and interlink their data publicly. The more data are opened on the Web (Open Data), the more integrated sets of data will be connected in the Semantic Web (Linked Open Data). Within this context, libraries can complement their data by linking it to other, external data sources. The purpose of this article is to identify papers that refer to linked data in libraries, emphasising the ways that linked data empower libraries to put their knowledge in the context of the open-world, thus enhancing semantic technology innovations. The study considered papers published between 2008 and 2019 in English and presents the collected literature by grouping it according to the topic each paper refers to. The results show that libraries are facing a period of continuing change which present several challenges and indicate that they are moving towards developing new practices, policies and services.

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Section: Linked Data Implementation In the Cultural Heritage Domainmentioning

confidence: 99%

Linked data for libraries: Creating a global knowledge space, a systematic literature review

Gaitanou

Andreou

Sicilia

et al. 2022

Journal of Information Science

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“…The article covers the rationale for the project, technologies used for the data transformation, publishing and management, lessons learned, and the approach the project team took to learn about Linked Data concepts. Thompson, K., & Richard, J. (2013).…”

Section: Case Studies Experiments and Projectsmentioning

confidence: 99%

Linked Data in a Nutshell: A Starter Kit of Selected Annotated Bibliography and Resources for Academic Librarians: Part One

Liu

2018

IJoL

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It has been a decade since Tim Berners-Lee coined Linked Data in 2006. More and more Linked Data datasets have been made available for information retrieval on the Web. It is essential for librarians, especially academic librarians, to keep up with the state of Linked Data. There is so much information about Linked Data that one may wonder where to begin when they want to join the Linked Data community. With this in mind, the author compiled this annotated bibliography as a starter kit. Due to the many resources available, this list focuses on literature in English only and of specific projects, case studies, research studies, and tools that may be helpful to academic librarians, in addition to the overview of Linked Data concept and the current state of Linked Data evolution and adoption.

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“…The rescue process of historical biodiversity documents can be summarised in four tasks (Figure 1). The first task is the digitisation of the document, which involves locating and cataloguing the original data sources, imaging/scanning with specific equipment and standards and uploading them to digital libraries (Lin, 2006;Thompson and Richard, 2013). In the second task, the images are analysed with text recognition software, mainly through Optical Character Recognition (OCR) (for standards see Groom et al, 2019 and for reviews see Lyal, 2016 andOwen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Automating the Curation Process of Historical Literature on Marine Biodiversity Using Text Mining: The DECO Workflow

et al. 2022

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Historical biodiversity documents comprise an important link to the long-term data life cycle and provide useful insights on several aspects of biodiversity research and management. However, because of their historical context, they present specific challenges, primarily time- and effort-consuming in data curation. The data rescue process requires a multidisciplinary effort involving four tasks: (a) Document digitisation (b) Transcription, which involves text recognition and correction, and (c) Information Extraction, which is performed using text mining tools and involves the entity identification, their normalisation and their co-mentions in text. Finally, the extracted data go through (d) Publication to a data repository in a standardised format. Each of these tasks requires a dedicated multistep methodology with standards and procedures. During the past 8 years, Information Extraction (IE) tools have undergone remarkable advances, which created a landscape of various tools with distinct capabilities specific to biodiversity data. These tools recognise entities in text such as taxon names, localities, phenotypic traits and thus automate, accelerate and facilitate the curation process. Furthermore, they assist the normalisation and mapping of entities to specific identifiers. This work focuses on the IE step (c) from the marine historical biodiversity data perspective. It orchestrates IE tools and provides the curators with a unified view of the methodology; as a result the documentation of the strengths, limitations and dependencies of several tools was drafted. Additionally, the classification of tools into Graphical User Interface (web and standalone) applications and Command Line Interface ones enables the data curators to select the most suitable tool for their needs, according to their specific features. In addition, the high volume of already digitised marine documents that await curation is amassed and a demonstration of the methodology, with a new scalable, extendable and containerised tool, “DECO” (bioDivErsity data Curation programming wOrkflow) is presented. DECO’s usage will provide a solid basis for future curation initiatives and an augmented degree of reliability towards high value data products that allow for the connection between the past and the present, in marine biodiversity research.

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Moving Our Data to the Semantic Web: Leveraging a Content Management System to Create the Linked Open Library

Cited by 9 publications

References 3 publications

Linked data for libraries: Creating a global knowledge space, a systematic literature review

Linked data for libraries: Creating a global knowledge space, a systematic literature review

Linked Data in a Nutshell: A Starter Kit of Selected Annotated Bibliography and Resources for Academic Librarians: Part One

Automating the Curation Process of Historical Literature on Marine Biodiversity Using Text Mining: The DECO Workflow

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