Publication Details
Ontology Acquisition for Automatic Building of Scientific Portals
SMRŽ Pavel and NOVÁČEK Vít. Ontology Acquisition for Automatic Building of Scientific Portals. In: SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science. Berlin: Springer Verlag, 2006, pp. 493-500. ISBN 3-540-31198-X.
Czech title
Ontology Acquisition for Automatic Building of Scientific Portals
Type
conference paper
Language
english
Authors
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT)
Nováček Vít, Bc. (FI MUNI)
Nováček Vít, Bc. (FI MUNI)
Keywords
semantic web, ontologies, portal
Abstract
Ontologies are commonly considered as one of the essential parts of the
Semantic Web vision, providing a theoretical basis and implementation framework
for conceptual integration and information sharing among various domains. In
this paper, we present the main principles of a new ontology acquisition
framework applied for semi-automatic generation of scientific portals.
Extracted ontological relations play a crucial role in the structuring of the
information at the portal pages, automatic classification of the presented
documents as well as for personalisation at the presentation level.
Published
2006
Pages
493-500
Proceedings
SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science
Conference
32nd Conference on Current Trends in Theory and Practice of Computer Science, Meřín, CZ
ISBN
3-540-31198-X
Publisher
Springer Verlag
Place
Berlin, DE
BibTeX
@INPROCEEDINGS{FITPUB8004, author = "Pavel Smr\v{z} and V\'{i}t Nov\'{a}\v{c}ek", title = "Ontology Acquisition for Automatic Building of Scientific Portals", pages = "493--500", booktitle = "SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science", year = 2006, location = "Berlin, DE", publisher = "Springer Verlag", ISBN = "3-540-31198-X", language = "english", url = "https://www.fit.vut.cz/research/publication/8004" }