The role of user models in semantically rich applications
This event took place on Wednesday 05 May 2004 at 13:00
Dr Marek Hatala Simon Fraser University, Vancouver, Canada
Delivering right information at the right time has been an adage of knowledge management for some time. In this talk Marek Hatala, an assistant professor from the School of Interactive Arts and Technology at Simon Fraser University in Vancouver, revisits this motto in two different contexts.
First, he will show how semantic web and user modeling techniques were employed in a personalized augmented audio-reality environment for museum visitors called ec(h)o. The ec(h)o platform is designed to create a museum experience that consists of a physical installation and an interactive virtual layer of three-dimensional soundscapes that are physically mapped to the museum displays. The source for the audio data is digital sound objects.
In the second part Marek will show how a user model developed in ec(h)o project can be used in other semantically rich applications. He will present LORNET - a 5-year research in the domain of e-learning - focusing on interoperability between learning resources, courses, programs, learner competencies, learner needs, and fellow learners.
Download PowerPoint Presentation (3.5Mb ZIP file)
This event took place on Wednesday 05 May 2004 at 13:00
Delivering right information at the right time has been an adage of knowledge management for some time. In this talk Marek Hatala, an assistant professor from the School of Interactive Arts and Technology at Simon Fraser University in Vancouver, revisits this motto in two different contexts.
First, he will show how semantic web and user modeling techniques were employed in a personalized augmented audio-reality environment for museum visitors called ec(h)o. The ec(h)o platform is designed to create a museum experience that consists of a physical installation and an interactive virtual layer of three-dimensional soundscapes that are physically mapped to the museum displays. The source for the audio data is digital sound objects.
In the second part Marek will show how a user model developed in ec(h)o project can be used in other semantically rich applications. He will present LORNET - a 5-year research in the domain of e-learning - focusing on interoperability between learning resources, courses, programs, learner competencies, learner needs, and fellow learners.
Download PowerPoint Presentation (3.5Mb ZIP file)
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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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