LUCERO
This event took place on Wednesday 03 November 2010 at 11:30
Dr Mathieu d\'Aquin Knowledge Media Institute, The Open University
LUCERO (Linking University Content for Education and Research Online) is a new 1 year JISC-funded project at the Open University. Led by KMi, LUCERO (which means 'Bright Star' in Spanish) is a collaboration with the Faculty of Arts and the Open University Library, working in partnership with many other parts of the OU, in order to apply linked data technologies and principles to education and research practices.
To realise this ambitious goal, LUCERO is creating a new technical infrastructure to store, give access, manipulate and, of course, link data from several institutional repositories (such as Open Research Online, the library catalogue and staff databases). In other words, the aim of LUCERO project is to create the Open Universities Web of linked data: http://data.open.ac.uk.
A major challenge for the project is to develop the practice and processes to expose research and educational information as part of the Web of Data. Knowing which sources can be exposed under which conditions and at what cost is currently a problem faced by any organisation wishing to follow the linked open data route. The goal of LUCERO is to generate reusable experience based on making linked University data happen at the OU.
One of the major objectives of the project is to concretely demonstrate the benefits of linked data in a University environment, especially to researchers and students. The project works in direct collaboration with six research projects from the Faculty of Arts, which are producing data in various forms. Exposing this data and linking it to both institutional sources and external datasets should make such research results richer and more accessible.
In this presentation, I will give an overview of the project, of its current state and of the many opportunities that the http://data.open.ac.uk platform is creating, for KMi technology developers, Open University students and researchers, as well as any other organisation interested in educational and research content.
This event took place on Wednesday 03 November 2010 at 11:30
LUCERO (Linking University Content for Education and Research Online) is a new 1 year JISC-funded project at the Open University. Led by KMi, LUCERO (which means 'Bright Star' in Spanish) is a collaboration with the Faculty of Arts and the Open University Library, working in partnership with many other parts of the OU, in order to apply linked data technologies and principles to education and research practices.
To realise this ambitious goal, LUCERO is creating a new technical infrastructure to store, give access, manipulate and, of course, link data from several institutional repositories (such as Open Research Online, the library catalogue and staff databases). In other words, the aim of LUCERO project is to create the Open Universities Web of linked data: http://data.open.ac.uk.
A major challenge for the project is to develop the practice and processes to expose research and educational information as part of the Web of Data. Knowing which sources can be exposed under which conditions and at what cost is currently a problem faced by any organisation wishing to follow the linked open data route. The goal of LUCERO is to generate reusable experience based on making linked University data happen at the OU.
One of the major objectives of the project is to concretely demonstrate the benefits of linked data in a University environment, especially to researchers and students. The project works in direct collaboration with six research projects from the Faculty of Arts, which are producing data in various forms. Exposing this data and linking it to both institutional sources and external datasets should make such research results richer and more accessible.
In this presentation, I will give an overview of the project, of its current state and of the many opportunities that the http://data.open.ac.uk platform is creating, for KMi technology developers, Open University students and researchers, as well as any other organisation interested in educational and research content.
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We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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