Neil Ireson, Fabio Ciravegna, Marie Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli: Evaluating Machine Learning for Information Extraction, 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 7-11 August, 2005
38. H-M. Haav, An Application of Inductive Concept Analysis to Construction of Domain-specific Ontologies, In: B. Thalheim, Gunar Fiedler (Eds), Emerging Database Research in East Europe, Proceedings of the Pre-conference Workshop of VLDB 2003, Computer Science Reports, Brandenburg University of Technology at Cottbus, 2003, 14/3, pp 63-67
The Java BibTeX-To-RDF Converter allows to convert BibTeX files to an RDF format according to the SWRC ontology. It has been developed by Peter Haase and Björn Schnizler in the scope of the SWAP project.
As BibTeX Parser we have used JavaBib Parser by Johannes Henkel.
TagCloud is an automated Folksonomy tool. Essentially, TagCloud searches any number of RSS feeds you specify, extracts keywords from the content and lists them according to prevalence within the RSS feeds. Clicking on the tag's link will display a list of all the article abstracts associated with that keyword.
Diese Webseite sucht Bücher direkt von Amazon mit dem zur Verfügung gestellten Amazon-Webservice und extrahiert hieraus BIB-Daten für Bibtex/Latex. Wenn das Buch bereits bekannt ist, dann empfehle ich, direkt nach der ISBN-Nummer zu suchen.
This document is designed as being a simple but comprehensive introductory publication for anybody trying to get into the Semantic Web: from beginners through to long time hackers.
Lush is an object-oriented programming language designed for researchers, experimenters, and engineers interested in large-scale numerical and graphic applications.
Deadline for research and industrial paper submissions: May 31, 2006
Workshop Proposals due to the Workshop Chair: March 30, 2006
Tutorial Proposals due to the Tutorial Chair: May 31, 2006
Conference Date: Nov 6-11, 2006
J. Abernethy, O. Chapelle, and C. Castillo. Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web, page 41--44. New York, NY, USA, ACM, (2008)