Tech Report

Modelling Scholarly Debate: Conceptual Foundations for Knowledge Domain Analysis Technology

Knowledge Domain Analysis (KDA) research investigates computational support for users who desire to understand and/or participate in the scholarly inquiry of a given academic knowledge domain. KDA technology supports this task by allowing users to identify important features of the knowledge domain such as the predominant research topics, the experts in the domain, and the most influential researchers. This thesis develops the conceptual foundations to integrate two identifiable strands of KDA research: Library and Information Science (LIS), which commits to a citation-based Bibliometrics paradigm, and Knowledge Engineering (KE), which adopts an ontology-based Conceptual Modelling paradigm. A key limitation of work to date is its inability to provide machine-readable models of the debate in academic knowledge domains. This thesis argues that KDA tools should support users in understanding the features of scholarly debate as a prerequisite for engaging with their chosen domain.

To this end, the thesis proposes a Scholarly Debate Ontology which specifies the formal vocabulary for constructing representations of debate in academic knowledge domains. The thesis also proposes an analytical approach that is used to automatically detect clusters of viewpoints as particularly important features of scholarly debate. This approach combines aspects of both the Conceptual Modelling and Bibliometrics paradigms. That is, the method combines an ontological focus on semantics and a graph-theoretical focus on structure in order to identify and reveal new insights about viewpoint-clusters in a given knowledge domain. This combined ontological and graph-theoretical approach is demonstrated and evaluated by modelling and analysing debates in two domains. The thesis reflects on the strengths and limitations of this approach, and considers the directions which this work opens up for future research into KDA technology.

Publication(s)

Benn, N. (2009). Modelling Scholarly Debate: Conceptual Foundations for Knowledge Domain Analysis Technology. Knowledge Media Institute, The Open University. PhD Thesis.

ID: kmi-09-04

Date: 2009

Author(s): Neil Benn

Resources:
Download PDF

View By

Other Publications

Jobs

Research Assistant / Associate

Knowledge Media Institute (KMi)
"£29,301 - £38,183"
Based in Milton Keynes
Temporary contract - September 2017 until December 2018

The Knowledge Media Institute (KMi) is looking for a Research Assistant or a Research Associate to work jointly on two EU funded projects. The Hub4NGI project will strengthen and coordinate the work done by ongoing and upcoming projects, focusing on Next Generation Internet Experimentation (NGI-E), with the goal to transform the current NGI-E setting into an increasingly dynamic, collaborative and participatory Innovation Ecosystem capable of effectively supporting and coordinating activities...

Research Assistant / Associate

Knowledge Media Institute (KMi)
"£29,301 - £38,183"
Based in Milton Keynes
Temporary 15 months contract, commencing Octoberr 2017

The Knowledge Media Institute (KMi) is looking for a Research Assistant or a Research Associate to work on an EU funded project. The Hub4NGI project will strengthen and coordinate the work done by ongoing and upcoming projects, focusing on Next Generation Internet Experimentation (NGI-E), with the goal to transform the current NGI-E setting into an increasingly dynamic, collaborative and participatory Innovation Ecosystem capable of effectively supporting and coordinating activities across the...

ERDF Project Secretary

Knowledge Media Institute (KMi)
"£21,843 - £24,565"
Based in Milton Keynes
Temporary contrat 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 seeks an experienced Project Secretary to support the delivery management of two projects funded by the European Regional Development Fund (ERDF): ICT Escalator and CityLabs. You will work as part of the KMi Administration team, reporting to the KMi Business Development Manager. You should be adaptable to the unique...

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