Abstract
Computer linguistic techniques may be useful as a new, innovative tool in the generation of new conceptual links in biomedical knowledge. We will present results from modelling several cases of discovery in pharmaceutical research. Our approach involves the active reconstruction of disconnected, implicit or hidden logical inference patterns in scientific literature. This approach is attractive, not due to the value of the logical model per se, but because it is or can be linked with specific cultural practices within the scientific community. The following topics related to our modelling of discovery processes in pharmaceutical research will be discussed:
-
1.
The role of social studies of science and technology
-
2.
The computational model used in our research
-
3.
An example study: the development of a new treatment
-
4.
Some results: the ‘intuitive’ search for decision rules
-
5.
Discussion: Integration with the scientific research community.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Vos, R., Rikken, F. (1998). Connecting disconnected structures: The modelling of scientific discovery in medical literature databases. In: Ahrweiler, P., Gilbert, N. (eds) Computer Simulations in Science and Technology Studies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58270-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-58270-7_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-63521-2
Online ISBN: 978-3-642-58270-7
eBook Packages: Springer Book Archive