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
Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results
Ian Davidson1 and S.S. Ravi1
(1) Department of Computer Science, University at Albany - State University of New York, Albany, NY 12222,
MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text.
In Deutschland wächst die nächste Generation des Web-Business heran. Ein Startup aus Hamburg etwa will aus dem neuen Gemeinschaftssinn des Netzes Kapital schlagen: Mit lokaler Suche plus persönlicher Empfehlung will man Web.de und den Gelben Seiten das Geschäft verderben.
Y. Wu, Y. Yao, F. Xu, H. Tong, и J. Lu. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, стр. 2287--2292. New York, NY, USA, ACM, (2016)
T. Tran, N. Tran, A. Teka Hadgu, и R. Jäschke. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, (сентября 2015)
R. Kumar, A. Tomkins, S. Vassilvitskii, и E. Vee. Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, стр. 359--368. New York, NY, USA, ACM, (2015)
B. Hidasi, A. Karatzoglou, L. Baltrunas, и D. Tikk. (2015)cite arxiv:1511.06939Comment: Camera ready version (17th February, 2016) Affiliation update (29th March, 2016).
M. Tambuscio, G. Ruffo, A. Flammini, и F. Menczer. Proceedings of the 24th International Conference on World Wide Web, стр. 977--982. New York, NY, USA, ACM, (2015)
X. Zhang, и Y. LeCun. (2015)cite arxiv:1502.01710Comment: This technical report is superseded by a paper entitled "Character-level Convolutional Networks for Text Classification", arXiv:1509.01626. It has considerably more experimental results and a rewritten introduction.
R. Baeza-Yates, и D. Saez-Trumper. Proceedings of the 26th ACM Conference on Hypertext &\#38; Social Media, стр. 69--74. New York, NY, USA, ACM, (2015)
D. Krompass, M. Nickel, и V. Tresp. International Conference on Data Science and Advanced Analytics, DSAA 2014, Shanghai, China, October 30 - November 1, 2014, стр. 18--24. IEEE, (2014)
G. Angeli, и C. Manning. Proceedings of the Seventeenth Conference on Computational Natural Language Learning, стр. 133--142. Sofia, Bulgaria, Association for Computational Linguistics, (августа 2013)