Towards a repository for scientific theory: development of a technical framework and prototype based on TheoryML

Marc N. Haines and Mujtaba Ahsan

International Journal of Data Mining, Modelling and Management, 2010, vol. 2, issue 3, 300-314

Abstract: This paper proposes a markup language based on XML for the domain of scientific theory, called Theory Markup Language (TheoryML). We argue that this markup language allows structured representations of theories; has the potential to make the search for and analysis of relevant theory more effective. In the first part of the paper, the role of theory and its basic elements are discussed. This paper presents the foundations of TheoryML, the key elements of the current version and discusses recent changes, challenges and future developments. The paper further addresses the development of a prototype repository and tools that are used to capture and analyse information about scientific theories using TheoryML. Finally, issues beyond the technical definition of the markup language are addressed; including issues that are relevant for making a theory repository based on TheoryML documents a useful resource for researchers in management and other disciplines. The specification of this XML-based markup language is an essential step towards the larger goal of creating a repository for scientific theory. While the effort is initially focused on theories frequently used in management research, the framework is designed with the intention to also serve researchers in other scientific disciplines.

Keywords: extensible markup language; XML; theory markup language; TheoryML; theory development; scientific theory; data storage; data retrieval; data mining. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=33539 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdmmm:v:2:y:2010:i:3:p:300-314

Access Statistics for this article

More articles in International Journal of Data Mining, Modelling and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().