Diese Einführung soll die Nutzung der Beschreibungssprache Simple Knowledge Organization System (SKOS) für kontrollierte Vokabulare erleichtern. Wir diskutieren den Zweck und die Vorteile am Beispiel von Open Educational Resources (OER).
Diese Seite beinhaltet einen theoretischen Überblick. Wer direkt praktisch einsteigen möchte, kann im Tutorial ein SKOS-Vokabular von Grund auf erstellen und veröffentlichen.
Other articles where Thesaurus is discussed: library: Thesauri: A new use of the term thesaurus, now widespread, dates from the early 1950s in the work of H.P. Luhn, at International Business Machines Corporation (IBM), who was searching for a computer process that could create a list of authorized terms for the indexing…
ESCO (European Skills, Competences, Qualifications and Occupations) is the European multilingual classification of Skills, Competences, Qualifications and Occupations.
ESCO works as a dictionary, describing, identifying and classifying professional occupations, skills, and qualifications relevant for the EU labour market and education and training.
The Cataloging Lab is a place for catalogers and anyone who cares about library metadata to experiment with creating better controlled vocabularies. Suggesting additions and changes to the Library of Congress Subject Headings vocabulary can be an isolating endeavor—it can be difficult to determine if your heading has already been proposed or if someone else is working on a proposal at the same time you are. The Cataloging Lab is designed to be a wiki where folks can collaborate on headings together to create stronger proposals.
There are many different folk tales in the world, but many tales are variations on a limited number of themes. The classification system originally designed by Aarne, and later revised first by Thompson and later by Uther, is intended to bring out the similarities between tales by grouping variants of the same tale under the same ATU category. like hraf
In this post, I want to show how I use NLTK for preprocessing and tokenization, but then apply machine learning techniques (e.g. building a linear SVM using stochastic gradient descent) using Scikit-Learn.
In this post you will see 5 recipes of supervised classification algorithms applied to small standard datasets that are provided with the scikit-learn library.
Provides biodiversity knowledge about all known species, including their taxonomy, geographic distribution, collections, genetics, evolutionary history, morphology, behavior, ecological relationships, and importance for human well being.
Collection of information about biodiversity compiled collaboratively by hundreds of expert and amateur contributors. Contains pictures, text, and other information for species living or extinct and the hierarchy of life, phylogeny and evolution.
Database of animal natural history, distribution, classification, and conservation biology. Contains species accounts about individual animal species and descriptions of levels of organization above the species level, especially phyla, classes, and in some cases, orders and families.
There is no official classification of prokaryotes, but the names given to prokaryotes are regulated. This website includes the nomenclature of prokaryotes and the nomenclatural changes as cited in the literature.
Provides taxonomic, conservation status and distribution information on plants and animals that are extinct, at risk of extinction, or near threatened.
Visual identification keys for endangered species such as Birds, Crocodilians, Turtles and Tortoises, Butterflies, Sturgeons and Paddlefish, Tropical Wood.
Information on the names, taxonomic relationships, continent-wide distributions, and morphological characteristics of all plants native and naturalized found in North America north of Mexico
M. Ciaramita, T. Hofmann, и M. Johnson. IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003, стр. 817-822. Morgan Kaufmann, (2003)
A. Mathes. Class report, Computer Mediated Communication - LIS590CMC Graduate School of Library and Information Science University of Illinois Urbana-?Champaign, (January 2004)
S. Bloehdorn, и A. Hotho. Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, стр. 70-87. (August 2004)
S. Bloehdorn, и A. Hotho. Proceedings of the Workshop on Text-based Information Retrieval (TIR-04) at the 27th German Conference on Artificial Intelligence, (September 2004)
D. Koller, и M. Sahami. Proceedings of the 14th International Conference on Machine Learning (ML), Nashville, Tennessee,July 1997, стр. 170--178. (1997)