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Tech Report kmi-08-02 Abstract


Designing the Ontological Foundations for Knowledge Domain Analysis Technology: An Interim Report
Techreport ID: kmi-08-02
Date: 2008
Author(s): Neil Benn, Simon Buckingham Shum, John Domingue, Clara Mancini
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Research into tools to support both quantitative and qualitative analysis of specialist knowledge domains has been undertaken within the two broadly independent traditions of Bibliometrics and Knowledge Management. The ‘knowledge domain analysis’ (KDA) tools within the first tradition follow a citation-based approach to representing knowledge domains and use citation links as the basis for identifying patterns in the relationships among authors and publications. KDA tools within the second, more recent tradition extend the representational scope to include more features of knowledge domains such as the various types of agents in the domain, their intellectual affiliations, and their research activities, all with the aim of enabling more precise queries about the domains. This second approach depends on the development of software artefacts called ontologies, which are used to explicitly define schemes for representing knowledge domains as well as inference rules to facilitate querying. However, current research into ontologies of scholarly domains has not as yet emphasised the key role of ontologies as vehicles for reuse. This report investigates the design of a reusable KDA ontology, which lays the foundation for future development of KDA tools. Following emerging best practice in the field, the ontology ensures its usability by merging existing ontologies, while also improving its reusability by aligning to generic reference ontology. By characterising knowledge domains as domains of semiotic activity, this report proposes to align the existing KDA ontologies to a generic reference ontology of semiotic components. In addition, this report investigates the use of an upper ontology of coherence connections for defining a core set of inference rules in the final ontology. Furthermore, this report submits that proven network-based analytical techniques from Bibliometrics can be reused to provide the basis for new KDA services. This is demonstrated through applying the ontology to represent and reason about two case study domains. Based on this investigation, this report intends to lay the ontological foundations for new KDA technology research.

Publication(s):

Benn, N., Buckingham Shum, S., Domingue, J., Mancini, C. (2008). "Designing the Ontological Foundations for Knowledge Domain Analysis Technology: An Interim Report". Technical Report KMI-08-02, Knowledge Media Institute, The Open University, UK. Available at: http://kmi.open.ac.uk/publications/pdf/kmi-08-02.pdf
 
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Future Internet is...


Future Internet
With over a billion users, today's Internet is arguably the most successful human artifact ever created. The Internet's physical infrastructure, software, and content now play an integral part of the lives of everyone on the planet, whether they interact with it directly or not. Now nearing its fifth decade, the Internet has shown remarkable resilience and flexibility in the face of ever increasing numbers of users, data volume, and changing usage patterns, but faces growing challenges in meetings the needs of our knowledge society. Globally, many major initiatives are underway to address the need for more scientific research, physical infrastructure investment, better education, and better utilisation of the Internet. Within Japan, USA and Europe major new initiatives have begun in the area.

To succeed the Future Internet will need to address a number of cross-cutting challenges including:

  • Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness

  • Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection

  • Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated

  • Pervasive usability for users of mobile devices, different languages, cultures and physical abilities

  • Mobility for users who expect a seamless experience across spaces, devices, and velocities