KMi Publications

Tech Reports

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
Download PDF

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
 
KMi Publications
 

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.

Visit the MMIS website