SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity
Meinung von Eversberg und Umstätter zum Thema Ontologien in Bibliotheken (2002) Geschichtliche Hinweise auf Projekte und Begriffsverständnis sowie Wurzeln in der KI
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to make sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.
In the INSEMTIVES game challenge we are looking for colorful, innovative ideas with a twist for new “games with a purpose”. The purpose, of course, is primarily the creation of useful semantic content.
J. Zhu, M. Ma, J. Guo, and Z. Wang. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 21 (2):
375-395(March 2007)International Workshop on Web Personalization, Recommender Systems and
Intelligent User Interfaces, Reading, ENGLAND, OCT, 2005.
E. Peis, J. del Castillo, and J. Delgado-López. Hipertext.net, (2008)Author: E. Peis; J. M. Morales-del-Castillo; J. A. Delgado-López
Location in hierarchy: Home -> Number 6, May 2008 -> Recommender
URL of this page: http://www.hipertext.net/english/pag1031.htm
Citation: E. Peis; J. M. Morales-del-Castillo; J. A. Delgado-López. Semantic Recommender Systems.
Analysis of the state of the topic on line. "Hipertext.net", num. 6, 2008. <http://www.hipertext.net>. ISSN 1695-5498.