Ontological Engineering
This event took place on Monday 19 January 2004 at 13:00
Dr Aldo Gangemi
The development of precise, easily sharable domain ontologies and the analysis of existing ones are known time-consuming activities in ontological engineering. The talk will introduce some principles to design "core" ontologies that catch the basic commitments in a domain of interest. These principles can be combined into "ontology design patterns" in order to build an ontology from scratch, and to analyse or to integrate existing ones. A design pattern is illustrated that builds upon DOLCE foundational ontology and some extensions that help representing contexts and situations. Applications in several domains (biomedical, legal, services, fishery, etc.) are sketched.
Download PowerPoint Presentation (512k ZIP file)
This event took place on Monday 19 January 2004 at 13:00
Dr Aldo Gangemi
The development of precise, easily sharable domain ontologies and the analysis of existing ones are known time-consuming activities in ontological engineering. The talk will introduce some principles to design "core" ontologies that catch the basic commitments in a domain of interest. These principles can be combined into "ontology design patterns" in order to build an ontology from scratch, and to analyse or to integrate existing ones. A design pattern is illustrated that builds upon DOLCE foundational ontology and some extensions that help representing contexts and situations. Applications in several domains (biomedical, legal, services, fishery, etc.) are sketched.
Download PowerPoint Presentation (512k 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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