DCMI Handbook/webinars

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Upcoming webinars

November 19, 2014

The Learning Resource Metadata Initiative, describing learning resources with schema.org, and more?

Webinar Date: Wednesday, 19 November, 2014, 10:00am-11:15am EST (UTC 15:00) World Clock: http://bit.ly/1pKiCUj)

Abstract: The Learning Resource Metadata Initiative (LRMI) is a collaborative initiative that aims to make it easier for teachers and learners to find educational materials through major search engines and specialized resource discovery services. The approach taken by LRMI is to extend the schema.org ontology so that educationally significant characteristics and relationships can be expressed. In this webinar, Phil Barker and Lorna M. Campbell of Cetis will introduce schema.org and present the background to LRMI, its aims and objectives, and who is involved in achieving them. The webinar will outline the technical aspects of the LRMI specification, describe some example implementations and demonstrate how the discoverability of learning resources may be enhanced. Phil and Lorna will present the latest developments in LRMI implementation, drawing on an analysis of its use by a range of open educational resource repositories and aggregators, and will report on the potential of LRMI to enhance education search and discovery services. Whereas the development of LRMI has been inspired by schema.org, the webinar will also include discussion of whether LRMI has applications beyond those of schema.org.

Presenters:

Portrait: Lorna Campbell Lorna Campbell

Lorna M Campbell has worked in the domain of open education technology and interoperability standards for over fifteen years and has contributed to the development of a number of learning resource metadata specifications. Phil and Lorna were commissioned by Creative Commons to manage the third phase of the Learning Resource Metadata Initiative. LRMI is co-led by Creative Commons and the Association of Educational Publishers (AEP)—now the 501(c)(3) arm of the Association of American Publishers.


Portrait: Phil Barker image Phil Barker

Phil Barker is a research fellow at Heriot-Watt University who has worked supporting the use of learning technology in Higher Education for twenty years. For much of this time he has worked with Lorna M. Campbell as part of Cetis. His work focuses on supporting the discovery and selection of appropriate resources, and he has contributed to the development of a number of learning resource metadata specifications. He was on the technical working group of the learning resource metadata initiative and has since worked on the third phase of LRMI promoting its uptake and use.

Presentation slides: PDF



 Categories: Learning Resource Metadata Initiative (LRMI) | schema.org | search engines | markup languages
Webinar Type: Praxis



Past webinars

21 May 21, 2014

How to pick the low hanging fruits of Linked Data

Webinar Date: Wednesday, 21 May, 2014, 10:00am EDT (World Clock: 14:00 UTC http://bit.ly/1qLSeq1)

Abstract: The concept of Linked Data has gained momentum over the past few years, but the understanding and the application of its principles often remain problematic. This webinar offers a short critical introduction to Linked Data by positioning this approach within the global evolution of data modeling, allowing an understanding of the advantages but also of the limits of RDF. After this conceptual introduction, the fundamental importance of data quality in the context of Linked Data is underlined by applying data profiling techniques with the help of OpenRefine. Methods and tools for metadata reconciliation and enrichment, such as Named-Entity Recognition (NER), are illustrated with the help of the same software. This webinar will refer to case-studies with real-life data which can be re-used by participants to continue to explore OpenRefine at their own pace after the webinar. The case-studies have been developed in the context of the handbook "Linked Data for Libraries, Archives and Museums", which will be published by Facet Publishing in June 2014.

Presenters:

Portrait: Seth van Hooland Seth van Hooland

Seth van Hooland is an assistant professor at the Université libre de Bruxelles (ULB), where he leads the Master in Information Science. After a career in the private sector for a digitization company, he obtained his PhD in information science at ULB in 2009. He is currently teaching a special course on linked data at the Information School of the University of Washington. He is also active as a consultant for both public and private organizations.


Portrait: Ruben Verborgh image Ruben Verborgh

Ruben Verborgh is a researcher in semantic hypermedia at Ghent University – iMinds, Belgium, where he obtained his PhD in computer science in 2014. He explores the connection between semantic web technologies and the web's architectural properties, with the ultimate goal of building more intelligent clients. Along the way, he has become fascinated by linked data, REST/hypermedia, web APIs and related technologies. He is the co-author of a book on OpenRefine and several publications on web-related topics in international journals.

Handout for the webinar: PDF Presentation slides: PDF

   Categories: Metadata Modeling | Transactions on Metadata | Resource Description Framework (RDF)

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