The Open University Linked Open Data-data. open. ac. uk (original) (raw)
Related papers
The Open University Linked Data – data.open.ac.uk
Semantic Web, 2016
The article reports on the evolution of data.open.ac.uk, the Linked Open Data platform of the Open University, from a research experiment to a data hub for the open content of the University. Entirely based on Semantic Web technologies (RDF and the Linked Data principles), data.open.ac.uk is used to curate, publish and access data about academic degree qualifications, courses, scholarly publications and open educational resources of the University. It exposes a SPARQL endpoint and several other services to support developers, including queries stored server-side and entity lookup using known identifers such as course codes and YouTube video IDs. The platform is now a key information service at the Open University, with several core systems and websites exploiting linked data through data.open.ac.uk. Through these applications, data.open.ac.uk is now fulfilling a key role in the overall data infrastructure of the university, and in establishing connections with other educational institutions and information providers.
Linked Open Data University of Münster–Infrastructure and Applications
Abstract. The Linked Open Data University of Münster (LODUM) project establishes a university-wide infrastructure to publish university data as Linked Open Data. The main goals are to increase visibility and accessibility of data produced and collected at the university, and to facilitate effective reuse of these data. This includes the goal to ease the development of applications and mashups based on the data, so that the common user can benefit from the LODUM data.
Experiences from the Design and Development of an Institutional Linked Open Data Portal
2017
Linked Open Data initiative, based on the open publication of datasets, provides new mechanisms for the development of novel services, and through rigorous data analysis new indicators for government strategies. We contribute with a linked open portal to integrate curriculum data of our academic staff. We analyse our experience in the creation of the semantic model and we include some cases of data exploitation. The main contributions are a better management of curricular data, the quality and efficiency of exploitation tasks, and the transparency, dissemination and collaboration with other researchers and with the citizenship.
SEEU Study Programs Curricula in Linked Open Data
Fourth International Conference on Advances in Information Processing and Communication Technology - IPCT 2016, 2016
WWW is moving from a Web of hyper-linked documents to a Web of linked data. Linked Open Data goes beyond borderlines by linking all the freely published RDF data in freely accessible datasets connected with each other to form the so called LOD cloud. This paper is focused on the evolution of the Linked Open Data platform of the SEE University curricula, from a research experiment to a data hub for the open content of the university. Based on Linked Data principles, loud.seeu.edu.mk is used to publish and access data about academic programs and courses offered in the university. It exposes as well a SPARQL endpoint in order to provide recommendations of resources based on user queries.
Consuming and producing linked open data: the case of OpenCourseWare
Program: electronic library and information systems, 2014
Purpose – The aim of this paper is to present an initiative to apply the principles of Linked Data to enhance the search and discovery of OpenCourseWare (OCW) contents created and shared by the universities. Design/methodology/approach – This paper is a case study of how linked data technologies can be applied for the enhancement of open learning contents. Findings – Results presented under the umbrella of OCW-Universia consortium, as the integration and access to content from different repositories OCW and the development of a query method to access these data, reveal that linked data would offer a solution to filter and select semantically those open educational contents, and automatically are linked to the linked open data cloud. Originality/value – The new OCW-Universia integration with linked data adds new features to the initial framework including improved query mechanisms and interoperability.
Today, there is a growing trend for publishing public data in an open format, on the web, making it available for everyone to use and reuse. This idea has been widely supported by governments and companies throughout the world, which have made their own public data available in such way. Some of them, like the World Bank, even challenge developers to write applications based on their open data, by organizing competitions [1]. Data has become the new raw material of the 21 st century . The Linked Open Data project has begun turning the document-oriented web into a database of global proportions .
Managing Open Educational Resources on the Web of Data
International Journal of Advanced Computer Science and Applications, 2014
In the last few years, the international work on Massive Open On-line Courses (MOOCS) underlined new needs for open educational resources (OER) management within the context of the Web of Data. First, within MOOCs, all (or at least most) resources must be open and available on the Web through URIs, including the MOOCs themselves. Second the evolution of research and practice in the field of OER repositories, notably the focus in international e-learning standards, is moving recently from OER metadata stored in relational databases towards RDF-based descriptions of resources stored in triple stores. Third, new resource management tools like COMETE provide more intelligent search capabilities within the Web of data, both for designers who are building MOOCs, and also for students who should be equipped with friendly tools to personalize their environment. We will present some COMETE use cases to illustrate these new possibilities and advocate for their integration within MOOC platforms.
Implementation of`Linked Data Using Massive Open Online Courses
Linked Data involves web to create typed links between different sources of data. Source data may vary in location, size, subject-matter and how congruously it is structured. Links produced from this data create equality and define properties to make data easier to read for machines. Linked Data is relatively unexplored in the domain of education. Linked Up Challenge have surfaced to encourage innovative applications focused on open educational data Massive Open Online Courses or MOOCs are online courses accessible to anyone on the web. Many of institutions have joined in an archive to make education more accessible by synchronizing with MOOC providers such as Coursera and NPTEL Delivering course content through lecture videos as well as readings and problem sets, MOOCs encourage interactivity between professors and students around the world by way of discussion forums and graded assessments. For most information associated with their course catalog. This includes properties such as a courses title, instructor, and syllabus details. Although Coursera's course catalog data is easily accessible as JSON, there is no option to retrieve and use it in a Linked Data format such as the RDF .there is no Linked Data available for MOOCs or for ontology that represent properties unlike to MOOCs In order to incorporate MOOC data into the Linked Data cloud as well as demonstrate the potential of Linked Data when applied to education, we propose to (i) developed or extend an RDF ontology which denotes properties of MOOC .(ii)use ontology that generate Linked Data from different MOOC providers.
Linked Data as a Foundation for the Deployment of Semantic Applications in Higher Education
2009
The value of semantic technologies in the context of learning and teaching has often been associated with the use of reasoning to support learning processes. This paper discusses the value of linked data in addressing data interoperability and integration across higher education institutions and repositories. This value is related to higher education challenges and a proposal on deploying linked data in higher education is presented and discussed.
2014 IEEE Global Engineering Education Conference (EDUCON), 2014
The arrival of Massive Open Online Courses (MOOCs) and the growth of open and online education-Open Educational Resources (OER), OpenCourseWare (OCW)-is increasingly the focus to self-learners as the primary target group. The OER movement has tended to define "openness" in terms of access for use and reuse to educational materials, and to address the geographical and financial barriers, between students, teachers and self-learners with distinguished educational institutions. MOOC initiatives emphasize free access and interactive features rather than static content. The dominant message is of the quantity of access rather than the openness of educational resources for use, re-use, adaptation or repurpose. The purpose of this paper is to present the main aspects to considerer building a framework based on semantic web technologies to support the inclusion of open materials in massive online courses and significantly to improve discovery, accessibility, visibility, and to promote reuse of open educational content in massive courses. This framework will provide a set of services that allows the discovery and access of open educational resources that are extracted from open repositories distributed. Our principal OER providers are OCW institutions. In this context, we opted to apply the principles of Linked Data to integrate, interoperate and mashup data from distributed and heterogeneous repositories of open educational materials.