You've built a vibrant community of Family Guy enthusiasts. The SVD recommendation algorithm took your site to the next level by allowing you to leverage the implicit knowledge of your community. But now you're ready for the next iteration - you are about
Dewey.info is an experimental space for linked DDC data. The initial data set available is a
linked data version of the DDC Summaries in nine languages. The intention of the dewey.info prototype
is to be a platform for Dewey data on the Web.
Recent explosion in the popularity of large language models like ChatGPT has led to their increased usage in classical NLP tasks like language classification. This involves providing a context…
"The future co-existence of controlled vocabularies and collaborative tagging is predicted, with each appropriate for use within distinct information contexts: formal and informal."
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.
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.
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.
Function answers the question --- what is being done?Technique answers the question -- how something being done?
Application answers the question --- what is the problem being solved?
ExamplesBusiness Activity Monitoring (BAM) is an application type, it solves the problem of controlling the business activities in order to optimize the business, deal with exceptions etc...Business Rules are type of technique --- which can be used to infer facts from other facts or rules (inference rules) , or to determine action when event occurs and condition is satisfied (ECA rules) and more (there are at least half a dozen types of rules, which are techniques to do something).Event Processing is really a set of functions which does what the name indicates -- process events --- processing can be filtering, transforming, enriching, routing, detect patterns, deriving and some more.
R. Neßelrath, and J. Alexandersson. Proceedings of the 6th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems. Twenty-First International Joint Conference On Artificial Intelligence (IJCAI -09), in Conjunction with 6th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems (KRPD-09), July 12, Pasadena, California, United States, page 46-51. IJCAI 2009, (July 2009)
M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz. Learning for Text Categorization: Papers from the 1998 Workshop, Madison, Wisconsin, AAAI Technical Report WS-98-05, (1998)
D. Willems, and L. Vuurpijl. Proceedings of the Ninth international conference on document analysis and recognition, page 869-873. Curitiba, Brazil, (2007)
J. Esparza, and F. Reiter. 31st International Conference on Concurrency Theory (CONCUR 2020), volume 171 of Leibniz International Proceedings in Informatics (LIPIcs), page 10:1--10:16. Dagstuhl, Germany, Schloss Dagstuhl--Leibniz-Zentrum für Informatik, (2020)Preprint: <a href="https://arxiv.org/abs/2007.03291">Link</a><br>#conference.
Y. Yang, and J. Pedersen. Proceedings of ICML-97, 14th International Conference on Machine Learning, page 412--420. Nashville, US, Morgan Kaufmann Publishers, San Francisco, US, (1997)
Y. Yang, and J. Pedersen. Proceedings of ICML-97, 14th International Conference on Machine Learning, page 412--420. Nashville, US, Morgan Kaufmann Publishers, San Francisco, US, (1997)