A schema-based P2P network to enable publish-subscribe for multimedia content in open hypermedia systems

Open Hypermedia Systems (OHS) aim to provide efficient dissemination, adaptation and integration of hyperlinked multimedia resources. Content available in Peer-to-Peer (P2P) networks could add significant value to OHS provided that challenges for efficient discovery and prompt delivery of rich and up-to-date content are successfully addressed. This paper proposes an architecture that enables the operation of OHS over a P2P overlay network of OHS servers based on semantic annotation of (a) peer OHS servers and of (b) multimedia resources that can be obtained through the link services of the OHS. The architecture provides efficient resource discovery. Semantic query-based subscriptions over this P2P network can enable access to up-to-date content, while caching at certain peers enables prompt delivery of multimedia content. Advanced query resolution techniques are employed to match different parts of subscription queries (subqueries). These subscriptions can be shared among different interested peers, thus increasing the efficiency of multimedia content dissemination

Unifying Distributed Processing and Open Hypertext through a Heterogeneous Communication Model

A successful distributed open hypermedia system can be characterised by a scaleable architecture which is inherently distributed. While the architects of distributed hypermedia systems have addressed the issues of providing and retrieving distributed resources, they have often neglected to design systems with the inherent capability to exploit the distributed processing of this information. The research presented in this paper describes the construction and use of an open hypermedia system concerned equally with both of these facets

Progressor: Social navigation support through open social student modeling

The increased volumes of online learning content have produced two problems: how to help students to find the most appropriate resources and how to engage them in using these resources. Personalized and social learning have been suggested as potential ways to address these problems. Our work presented in this paper combines the ideas of personalized and social learning in the context of educational hypermedia. We introduce Progressor, an innovative Web-based tool based on the concepts of social navigation and open student modeling that helps students to find the most relevant resources in a large collection of parameterized self-assessment questions on Java programming. We have evaluated Progressor in a semester-long classroom study, the results of which are presented in this paper. The study confirmed the impact of personalized social navigation support provided by the system in the target context. The interface encouraged students to explore more topics attempting more questions and achieving higher success rates in answering them. A deeper analysis of the social navigation support mechanism revealed that the top students successfully led the way to discovering most relevant resources by creating clear pathways for weaker students. © 2013 Taylor and Francis Group, LLC

Linking with Meaning: Ontological Hypertext for Scholars

The links in ontological hypermedia are defined according to the relationships between real-world objects. An ontology that models the significant objects in a scholar’s world can be used toward producing a consistently interlinked research literature. Currently the papers that are available online are mainly divided between subject- and publisher-specific archives, with little or no interoperability. This paper addresses the issue of ontological interlinking, presenting two experimental systems whose hypertext links embody ontologies based on the activities of researchers and scholars

Combining knowledge mapping and videoconferencing for open sensemaking communities

The Open Educational Resources (OER) movement has been growing rapidly, opening up new opportunities for widening participation (Willinsky, 2006). OpenLearn is an OER pilot project developed by the UK Open University (OU) [http://www.open.ac.uk/openlearn], and launched in October 2006, supported by the William and Flora Hewlett Foundation. OpenLearn has published 3371 hours in the LearningSPace and 5194 in the LabSpace of OERs designed specifically for distance learning (the OU’s core business), and covers a range of subjects from arts and history to science and nature. There are more than 300 units at all study levels from access to higher education, graduation and postgraduation. Our current work is to investigate how these tools can be used to foster open sensemaking communities (Buckingham Shum, 2005) around the OERs, that is, the interpretative work that must take place around any resource for learning to take place. How can we support this critical activity in an OER context when learners must find and engage with peers themselves, if they do not wish to study alone? This paper introduces the e-learning environment that has been developed after the first year of OpenLearn, focusing on the uses made of two sensemaking support tools, Compendium for knowledge mapping, and FlashMeeting for videoconferencing

From Open Content Repositories to Open Sensemaking Communities

The Open Content movement is concerned with enabling students and educators to access material, in order to then learn from it, and reuse it either in one’s studies or one’s own courses. The core efforts to date has focused on enabling access, e.g. building the organizational/political will to release and license content, and in developing open infrastructures for educators to then publish and reassemble it. The key challenge in the next phase of the open content movement is to improve the support for prospective students to engage with and learn from the material, and with each other though peer learning support, in the absence of formally imposed study timetables and assessment deadlines. This paper reports on tools for e-learning and collaborative sensemaking developed at the UK Open University which are now being considered as candidates for open content learning support

An Open Framework for Integrating Widely Distributed Hypermedia Resources

The success of the WWW has served as an illustration of how hypermedia functionality can enhance access to large amounts of distributed information. However, the WWW and many other distributed hypermedia systems offer very simple forms of hypermedia functionality which are not easily applied to existing applications and data formats, and cannot easily incorporate alternative functions which would aid hypermedia navigation to and from existing documents that have not been developed with hypermedia access in mind. This paper describes the extension to a distributed environment of the open hypermedia functionality of the Microcosm system, which is designed to support the provision of hypermedia access to a wide range of source material and application, and to offer straightforward extension of the system to incorporate new forms of information access

‘Learning matters’ ‐ adjusting the media mix for academic advantage

This paper notes the move towards resource‐based and distance learning within higher education institutions and briefly describes the Open University's approach to the development of such materials. In this context the need for clear evidence of the educational effectiveness of new technologies to support learning is explored. This is illustrated by reference to a course called ‘E211 Learning Matters’, which is currently being produced at the Open University (OU). A comparison is made of student activity on a ‘traditional’ OU course and E211. This analysis is based on a theoretical model presented to Alt‐C96 by Diana Laurillard This model involves looking at the distribution of student activity in terms of ‘attending’, ‘practising’, ‘discussing’ and ‘articulating’. The outcome of the analysis supports the view that by changing the balance of media used on E211 away from paper and towards new interactive media, the quality of the course will be enhanced. However, the model is limited in that it only explicitly deals with the quantity of use of each media. The paper explores some of the implicit assumptions within the model and illustrates them with reference to E211. It also highlights ways in which changing the balance of media has been found to impact on the underlying view of learning implicit within the course

Hypermedia-based discovery for source selection using low-cost linked data interfaces

Evaluating federated Linked Data queries requires consulting multiple sources on the Web. Before a client can execute queries, it must discover data sources, and determine which ones are relevant. Federated query execution research focuses on the actual execution, while data source discovery is often marginally discussed-even though it has a strong impact on selecting sources that contribute to the query results. Therefore, the authors introduce a discovery approach for Linked Data interfaces based on hypermedia links and controls, and apply it to federated query execution with Triple Pattern Fragments. In addition, the authors identify quantitative metrics to evaluate this discovery approach. This article describes generic evaluation measures and results for their concrete approach. With low-cost data summaries as seed, interfaces to eight large real-world datasets can discover each other within 7 minutes. Hypermedia-based client-side querying shows a promising gain of up to 50% in execution time, but demands algorithms that visit a higher number of interfaces to improve result completeness