Open Education for a Multicultural World

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Jožef Stefan Institute, situated in Ljubljana, was founded in 1949. It is the biggest public research institute for basic and applied research in natural sciences and technology in Slovenia. About 1000 people are employed by the Institute; about 400 employed are Ph.D. scientists. The main research areas are information technologies, physics, chemistry, molecular biology and biotechnology, reactor physics and technology, energy and environment.

Artificial Intelligence Laboratory @ Jožef Stefan Institute is concerned mainly with research and development in information technologies with an emphasis on artificial intelligence. The main research areas are the following: (a) data analysis with an emphasis on text, web and cross-modal data, (b) scalable real-time data analysis, (c) visualization of complex data, (d) semantic technologies, (e) language technologies. In collaboration with the Department of Communication Systems (E6) and Centre for Knowledge Transfer in Information Technologies (CT3) we have established a Cross-department laboratory for wireless sensor networks (SensorLab). The goal is to combine technologies for (a) sensor data acquisition, (b) communication between sensor devices, (c) statistical real-time data analysis, (d) semantic technologies, and to enable a wide range of research and development in different application areas, such as energy, ecology, transport, security, and logistics.

Knowledge 4 All Foundation Ltd (K4A) is a non-profit organization based in London (UK), formed as a successor to the PASCAL2 Network of Excellence, an FP7 research project and the main supporter of VideoLectures.Net. Among the over 60 members of the Foundation are some of the most important research and development centres in the field of artificial intelligence in Europe. The aim of the Foundation is to reduce the current gap between new trends in education, on the one hand, and advanced technologies in artificial intelligence, on the other, with the ultimate goal of securing the future of open education. It explores the new and rapidly-changing global trends in higher education, and how intelligent and advanced technologies have influenced and will go on to instigate fundamental changes within traditional higher education systems around the world: Machine Vision, Speech, Haptics, Brain-Computer Interface, User-modeling for computer human interaction, Multimodal integration, Natural Language Processing, Information Retrieval, Textual Information Access, Online Learning, Open Education, New Publishing Business Models. It has also developed an innovative series of video journals, and supports the development of advanced technologies for VideoLectures.Net. K4A works closely with the OpenCast Community and OpenCourseWare Consortium, both of which operate in the field of open source video capture systems and open educational resources, and provides intelligent solutions for both.

transLectures is an EU-funded project to develop innovative, cost-effective tools for the automatic transcription and translation of online educational videosOnline collections of video material are fast becoming a staple feature of the Internet and a key educational resource. What we are working on at transLectures is a set of easy-to-use tools that will allow users to add multilingual subtitles to these videos. In doing so, they will make the content of these videos available to a much wider audience in a way that is cost-effective and sustainable over the vast collections of online video lectures being generated. Automatic transcription tools will provide verbatim subtitles of the talks recorded on video, thereby allowing the hard-of-hearing to access this content. Language learners and other non-native speakers will also benefit from these monolingual subtitles. Meanwhile, machine translation tools will make these subtitles available in languages other than that in which the video was recorded. Specifically, we will be developing tools for use on VideoLectures.NET, a collection of videos recorded at various academic events set up by JSI’s Centre for Knowledge Transfer, and for poliMedia, a lecture capture system designed and implemented at the UPVLC. Our tools will also be fully compatible with Matterhorn, a free, open-source platform for the management of educational audio and video content. The language pairs being targeted in this project are English, Spanish and Slovenian for transcription, and English<>Spanish, English<>Slovenian, English>French and English>German for translation.

XLike is an EU-funded project which goal is to develop technology to monitor and aggregate knowledge that is currently spread across mainstream and social media, and to enable cross-lingual services for publishers, media monitoring and business intelligence. The aim is to combine scientific insights from several scientific areas to contribute in the area of cross-lingual text understanding. By combining modern computational linguistics, machine learning, text mining and semantic technologies we plan to deal with the following two key open research problems 1) to extract and integrate formal knowledge from multilingual texts with cross-lingual knowledge bases, and 2) to adapt linguistic techniques and crowdsourcing to deal with irregularities in informal language used primarily in social media. The developed technology will be language-agnostic, while within the project we will specifically address English, German, Spanish, Chinese and Hindi as major world languages and Catalanand Slovenian as minority languages.

MediaMixer is an EU-funded project focusing on the video fragmentation reuse industry. While we have already established, traditional markets for complete videos, e.g. in stock footage portals, media libraries or TV archives, where entire videos may be found and also purchased for re-use in new media production situations, these markets do not permit the easy purchase or sale of smaller fragments of AV materials. MediaMixer will address this deficit by showing the vision of a media fragment market (the MediaMixer) to the European media production, library, TV archive, news production, e-learning and UGC portal industries. We will demonstrate the achievable benefits enabled by the creation, repurposing and reuse of digital contents across borders on the Web, where media fragments are intelligent digital objects, identified and classified at a highly granular degree, integrated with knowledge management, and connected at Web-scale. The objective of MediaMixer is to set up and sustain a community of video producers, hosters, and redistributors who will be supported in the adoption of semantic multimedia technology in their systems and workflows to build a European market for media fragment re-purposing and re-selling. Networking with the community will ensure that research results and technology development truly meets the industry requirements and reflects real world use cases. Demonstrators in media production, news reporting and e-learning will highlight the technology value, with a wider impact achieved through the support of media industry experts and associations to present these results to their members. A number of events will be organised to network the industry members with the research experts of MediaMixer and facilitate technology transfer (by information days and training), and an online portal will drive the geographically distributed community and act as a central access point to tools, materials, use cases, demos and presentations.

VideoLectures.NET is an award-winning free and open access educational video lectures repository. The lectures are given by distinguished scholars and scientists at the most important and prominent events like conferences, summer schools, workshops and science promotional events from many fields of Science. The portal is aimed at promoting science, exchanging ideas and fostering knowledge sharing by providing high quality didactic contents not only to the scientific community but also to the general public. All lectures, accompanying documents, information and links are systematically selected and classified through the editorial process taking into account also users’ comment

 

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