KMi Seminars
An ontology-based system to represent and support students' navigation of philosophical resources
This event took place on Wednesday 22 November 2006 at 11:30

 
Michele Pasin KMi, The Open University

Philosophy is one of the fields of study where abstract entities (such as "self", "mind" or "good") constitute the core of what is treated. Although some work exists that tries to model mental content (e.g. "ideas") using formal semantics, modeling abstract notions is a particularly difficult task. In this talk, we describe our approach to modelling some basic abstract entities in philosophy within an e-learning scenario. Here we have taken the perspective of a teacher trying to organize his/her learning material about philosophy, with respect to its content, in order to facilitate students' understanding of the subject. Given this context, we introduce an ontology based system to support the annotation of philosophical material, and the navigation of the same, according to content-relevant narrative pathways. We show how such formalization can be related to other existing ontologies, and how different levels of abstraction can be used to provide crossways and to construct curricula, which extend normal textbooks capabilities.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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