Full Seminar Details

Andriy Nikolov

Computing Research Centre, The Open University, UK

 Andriy Nikolov
Fusing Automatically Extracted Semantic Annotations
This event took place on Wednesday 26 July 2006 at 11:30

The necessary precondition of the Semantic Web initiative is the availability of semantic data. Information, which at the moment is intended for human users, must be translated into a machine-readable format (RDF). Such a translation process is called semantic annotation. The amount of information on the Web makes it impossible to solve the annotation task manually. So the usage of automatic information extraction algorithms is essential. These algorithms use various natural language processing and machine learning techniques to extract information from text. The information extracted from different sources must then be integrated in a knowledge base, so that it can be queried in a uniform way. This integration process is called knowledge fusion. However, performing knowledge fusion encounters a number of problems. The origins of these problems are the following: 1. Inaccuracy of existing information extraction algorithms leads to appearance of incorrect annotations. 2. Information contained on the web pages can be imprecise, incomplete or vague. 3. Multiple sources can contradict each other. Thus, in order to perform large-scale automatic annotation it is necessary to implement a knowledge fusion procedure, which is able to deal with these problems.

Watch the webcast replay >>

Jobs

Project Officer - Data Hub Development

Knowledge Media Institute (KMi)
"£32,004 - £38,183"
Based in Milton Keynes
Temporary contract until 30th June 2019

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). The unit is looking for a Project Officer to support the maintenance and evolution of...

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team