Persistent URLs (PURLs) have operated on the Internet since 1995, and were re-architected and described at SemTech in 2008. Part of the re-architecture was to add semantic capabilities to PURLs so that metadata descriptions of a resource may be computationally separated from resources themselves. The Open Source community at http://purlz.org maintains and extends the PURL code base.

I consider myself firstly a fan and evangelist of semantic wikis and secondly a provider of technologies and solutions that offer those capabilities to enterprises.  After spending several years following technologies related to this particular feature, on the eve of the Semantic Wiki session at the 2009 Semantic Technology conference next week, I wanted to offer some perspectives on Semantic Wikis and what the enterprises can hope to achieve from their deployments. 

SeMuSe is an open and collaborative community based project to work on a Semantic Museum vision, and provides a forum for discussion of the future of applied cultural and natural heritage data management. Members of SeMuSe can greatly benefit from advancements made in the Semantic Technology community. The goal of SeMuSe is to help organizations and practitioners to introduce Semantic Technologies and concepts to cultural and natural heritage data management efforts and to capitalize on the results of more than a decade of Semantic Technology research. Emerging technology standards like RDF, RDFS and OWL and domain specific vocabularies such as museumdat and the CIDOC CRM ontology specification are a marriage made in Semantic Technology heaven, allowing to lead semantic cultural and natural heritage data management to its full potential - SeMuSe.

The evolution of the semantic web brings new possibilities to handle the information overload. This paper focuses on the motivation to integrate two applications and the usage of semantic content for information managers. Analysts and executives need to understand today the value of semantic technologies in relation to business intelligence and decision making support. There are a number of mature semantic technology categories including automatic annotation, information extraction techniques, text mining and semantic navigation and search within the content.