Showing all 4 Tech Reports from 2014

Describing semantic web applications through relations between data nodes

Semantic Web Applications can only be understood if the complex data flows they implement are clearly described. However, application developers have very little support at the moment for documenting such data flows and their rationale, in an appropriately formal and conceptual manner. In this paper, we propose to apply a knowledge engineering approach to the formal description of Semantic Web Applications. Following an ontology building methodology based on the analysis of several more

ID: kmi-14-05

Date: 2014

Author(s): Enrico Daga,Mathieu d'Aquin,Aldo Gangemi,Enrico Motta

Download PDF

Cognition, ontologies and description logics

This report describes work undertaken and planned, the goal of which is to better understand how people comprehend and use complex ontologies, in particular those employing Description Logics (DLs). Two research questions are posed: 1. In what way can the difficulties experienced in using Description Logics be understood in terms of an underlying theory, e.g. theories of reasoning already developed within the cognitive psychology community? 2. In what way could such a theory contribute more

ID: kmi-14-03

Date: 2014

Author(s): Paul Warren

Download PDF

Ontology patterns: a survey into their use

This report describes the results of a survey into the use of ontology patterns. Responses came from industry, research institutes and academia and covered a range of different application areas. The survey covered: pattern characteristics and sources; pattern usage; and pattern identification, creation and storage. Pattern size and domain specificity appear to be correlated. There was a significant rank correlation between specificity and number of classes in the pattern, and a close more

ID: kmi-14-02

Date: 2014

Author(s): Paul Warren

Download PDF

Mining Research Publication Networks for Impact

The question of how to evaluate the quality of research publications is very difficult to answer and despite decades of research, there is still no standard solution to this problem. Particularly at present, with the amount of scholarly literature rapidly expanding, it might become very difficult and time consuming to recognise what is the key research that presents the most important contributions to science. Furthermore, this question is highly relevant not only to researchers, but more

ID: kmi-14-01

Date: 2014

Author(s): Drahomira Herrmannova

Download PDF

View By

Other Publications


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 the MK Data Hub, a computational infrastructure for acquiring and managing city data originally developed in the context of the MK:Smart project, The position is supported by two projects funded by the European Regional Development...


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

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


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

Email: KMi Development Team