Abstract
Our research focuses on providing easy access to interdisciplinary information in the natural resource management domain [3] so users can more readily benefit from previous scientific findings, assessments, and decisions. Because of the widespread use of specialized terminology, our work focuses on extending a traditional thesaurus model [1] to properly represent and exploit the broad range of terms in a digital library designed for natural resource management.
Similar content being viewed by others
References
ANSI/NISO Z39.19 – 2003. Guidelines for the Construction, Format, and Management of Monolingual Thesauri. NISO Press (2003)
Bates, M.J.: Subject Access in Online Catalogs: A Design Model. Journal of the American Society for Information Science 37(6), 357–376 (1986)
Delcambre, L., Tolle, T.: Harvesting information to Sustain Forests. In: CACM 2003 (2003)
Nelson, S.J., Johnston, D., Humphreys, B.L.: Relationships in Medical Subject Headings. In: Relationships in the organization of knowledge, pp. 171–184. Kluwer Academic Publishers, New York (2001)
Soergel, D.: Indexing Languages and Thesauri: Construction and Maintenance. Wiley-Becker & Hayes Series Book. Melville Publishing, Los Angeles (1974)
Staab, S., Angele, J., Decker, S., Erdmann, M., Hotho, A., Maedche, A., Schnurr, H.P., Studer, R., Sure, Y.: Semantic community web portals. Computer Network (2000)
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Weaver, M.J., Delcambre, L., Tolle, T., Nielsen, M.L. (2005). Using a Path-Based Thesaurus Model to Enhance a Domain-Specific Digital Library. In: Rauber, A., Christodoulakis, S., Tjoa, A.M. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2005. Lecture Notes in Computer Science, vol 3652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551362_59
Download citation
DOI: https://doi.org/10.1007/11551362_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28767-4
Online ISBN: 978-3-540-31931-3
eBook Packages: Computer ScienceComputer Science (R0)