The OU Linked Open Data: Production and Consumption

Zablith, Fouad; Fernández, Miriam; Rowe, Matthew

doi:10.1007/978-3-642-25953-1_4

Cited by 12 publications

(12 citation statements)

References 8 publications

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“…The Open University in the UK was the first education organization to create a linked data platform to expose information from across its departments, and that would usually sit in many different systems, behind many different interfaces (see http://data.open.ac.uk which includes around 5 Million triples about 3,000 audio-video resources, 700 courses, 300 qualifications, 100 Buildings, 13,000 people [27] [28] 28 . In addition, educational resources metadata has been exposed by the mEducator project [24] [3].…”

Section: Tel Resource Data Sharing On the Web -State Of The Artmentioning

confidence: 99%

A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systems

Dietze

Drachsler

Giordano

2014

Recommender Systems for Technology Enhanced Learning

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Abstract. Personalisation, adaptation and recommendation are central features of TEL environments. In this context, information retrieval techniques are applied as part of TEL recommender systems to filter and recommend learning resources or peer learners according to user preferences and requirements. However, the suitability and scope of possible recommendations is fundamentally dependent on the quality and quantity of available data, for instance, metadata about TEL resources as well as users. On the other hand, throughout the last years, the Linked Data (LD) movement has succeeded to provide a vast body of well-interlinked and publicly accessible Web data. This in particular includes Linked Data of explicit or implicit educational nature. The potential of LD to facilitate TEL recommender systems research and practice is discussed in this paper. In particular, an overview of most relevant LD sources and techniques is provided, together with a discussion of their potential for the TEL domain in general and TEL recommender systems in particular. Results from highly related European projects are presented and discussed together with an analysis of prevailing challenges and preliminary solutions.Keywords. Linked Data, Education, Semantic Web, Technology-Enhanced Learning, Data Consolidation, Data Integration IntroductionAs personalisation, adaptation and recommendation are central features of TEL environments, TEL recommender systems apply information retrieval techniques to filter and deliver learning resources according to user preferences and requirements. While the suitability and scope of possible recommendations is fundamentally dependent on the quality and quantity of available data, e.g., data about learners, and in particular metadata about TEL resources, the landscape of standards and approaches currently exploited to share and reuse educational data is highly fragmented.

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Section: Tel Resource Data Sharing On the Web -State Of The Artmentioning

confidence: 99%

A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systems

Dietze

Drachsler

Giordano

2014

Recommender Systems for Technology Enhanced Learning

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“…Open Linked Data [126]), workshops (e.g., SePublica [44][45][46][47] and Linked Science [56,67,68]), special issues of academic journals (e.g., the Semantic Web Journal special issues on New Models of Semantic Publishing in Science [31] and on Linked Data for Science and Education [69]), academic challenges (e.g., the Semantic Publishing Challenge [101]), and research communities (e.g., Force11 3 [38]). These initiatives seem to confirm that Semantic Publishing using Web standards currently constitutes one of the most interesting topics in the scientific publishing domain.…”

Section: Semantic Web Industry and Free Access To Law: Publishers Mmentioning

confidence: 99%

Semantic Web for the Legal Domain: The next step

Casanovas

Palmirani

Peroni

et al. 2016

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Abstract. Ontology-driven systems with reasoning capabilities in the legal field are now better understood. Legal concepts are not discrete, but make up a dynamic continuum between common sense terms, specific technical use, and professional knowledge, in an evolving institutional reality. Thus, the tension between a plural understanding of regulations and a more general understanding of law is bringing into view a new landscape in which general legal frameworks -grounded in well-known legal theories stemming from 20th-century c. legal positivism or sociological jurisprudence -are made compatible with specific forms of rights management on the Web. In this sense, Semantic Web tools are not only being designed for information retrieval, classification, clustering, and knowledge management. They can also be understood as regulatory tools, i.e. as components of the contemporary legal architecture, to be used by multiple stakeholders -front-line practitioners, policymakers, legal drafters, companies, market agents, and citizens. That is the issue broadly addressed in this Special Issue on the Semantic Web for the Legal Domain, overviewing the work carried out over the last fifteen years, and seeking to foster new research in this field, beyond the state of the art.

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“…Similar to other universities in Europe, the Open University (OU) exposes some of their institutional datasets as Linked Data [22]. Specifically, research publications, teaching material, course descriptions and people profiles are currently available.…”

Section: A Open Linked Data From the Open Universitymentioning

confidence: 99%

The Opportunity of Linked Data for the European Higher Education Area

Vega-Gorgojo¹,

Tiropanis²,

Millard³

2016

IJIET

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Abstract-The european higher education area (EHEA) aims to create a more comparable, compatible and coherent space of Higher Education in Europe. After a decade of reforms, most of the required instruments are already in place, so the next years are key to complete the implementation and consolidation of the EHEA. However, data challenges pose a threat to pivotal EHEA processes such as credit recognition that require institutions to cooperate and integrate their datasets scattered across diverse repositories in multiple data formats. Linked Data principles and practices have the potential to address such difficulties, as demonstrated with the emergence of a global data space -the Web of Data. This paper first discusses the benefits of Linked Data for the emergent EHEA, devising a new set of Linked Data-driven scenarios that leverage current EHEA processes. Further, a set of preliminary Linked Data deployments is examined to assess the advantages and identify the challenges ahead in the EHEA landscape.Index Terms-European higher education area (EHEA), linked data, semantic web, technology-enhanced learning (TEL).

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The OU Linked Open Data: Production and Consumption

Cited by 12 publications

References 8 publications

A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systems

A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systems

Semantic Web for the Legal Domain: The next step

The Opportunity of Linked Data for the European Higher Education Area

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