KMi Seminars
Approximation for the Semantic Web
This event took place on Friday 05 May 2006 at 12:30

 
Dr. Holger Wache Vrije Universiteit Amsterdam

Scalable reasoning for the Semantic Web is a crucial issue. Without scalability the Semantic Web will not be able to reason about the high and growing amount of data with respect to time performance and tolerant reasoning. Approximate reasoning seems to be a promising approach to introduce scalability to the Semantic Web.

Different forms of approximated reasoning are possible. First the reasoning process itself can be approximated by replacing the inference engine by a sophisticated approximated one. Second the knowledge, i.e. the ontology, can be weakened or, third, translated into another representation formalism. Obviously during both transformations knowledge is lost.

This talk reports about the investigation and experiences made in KNOWLEDGEWEB, an EU-funded network of excellence. The logical foundation of some approaches is briefly explained but also their practical consequences for scalable reasoning will be investigated.

Download Presentation Slides.

 
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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