Summary
The paper presents a knowledge-based model for processing network-like relationships between scientists in bibliographic databases. The need to reason about scientific structures has turned out to be a remaining problem in the field of person-related Information Retrieval (IR) considering research contexts. The method, which is introduced here, determines science-structural relationships between all scientists in sample domains of a database including their semantic proximity. As an expressive description of the “world” studied at an instantaneous point of time, such networks of personal relations can be used to draw inferences concerning the importance of scientists for a certain topic in regard to their structural position within a complete “research landscape”.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
ALLEN, J.F. (1984): Towards a general theory of action and time. Artificial Intelligence, 23, 123–154.
APPELRATH, H.-J. (1985): Von Datenbanken zu Expertensystemen. Springer-Verlag, Berlin, Heidelberg.
GRIVEL, L., and LAMIREL, J.-C. (1993): SDOC. An analysis tool for scientometric studies integrated in an hypermedia environment. Communicating Knowledge in Organizations. Proceedings of the 4th International Conference on Cognitive and Computer Science for Organizations. Montreal, 146–154.
HERFURTH, M., and MUTSCHKE, P., and OHLY, H.P. (1993): Akcess: Konzeptorientiertes Retrieval mit bibliographischem Kontextwissen. In: G. KNORZ et al. (eds.): Information Retrieval ‘93. Von der Modellierung zur Anwendung. Proceedings der 1. Tagung der Fachgruppe Information Retrieval der Gesellschaft für Informatik. Universitätsverlag, Konstanz, 199–207.
OHLY, H.P. (1991): Conceptual information retrieval by knowledge-based programming techniques. International Classification, 18–3, 148–152.
RICHTER, M.M. (1992): Prinzipien der Künstlichen Intelligenz. B.G. Teubner, Stuttgart.
SCOTT, JOHN (1991): Social Network Analysis. A Handbook. Sage Publications, London.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer-Verlag Berlin · Heidelberg
About this paper
Cite this paper
Mutschke, P. (1994). Processing Scientific Networks in Bibliographic Databases. In: Bock, HH., Lenski, W., Richter, M.M. (eds) Information Systems and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46808-7_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-46808-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58057-7
Online ISBN: 978-3-642-46808-7
eBook Packages: Springer Book Archive