Semantic web technologies for video surveillance metadata

Storage Technologies for Video Surveillance Storage Technologies for Video Surveillance

Semantic Web Technologies for Aerospace

Emerging Semantic Web technology such as the DARPA Agent Markup Language (DAML) will support advanced semantic interoperability in the next generation of aerospace architectures. The basic idea of DAML is to mark up artifacts (e.g., documents, sensors, databases, legacy software) so that software agents can interpret and reason with the information. DAML will support the representation of ontol...

Semantic Web Technologies for the Adaptive Web

Ontologies and reasoning are the key terms brought into focus by the semantic web community. Formal representation of ontologies in a common data model on the web can be taken as a foundation for adaptive web technologies as well. This chapter describes how ontologies shared on the semantic web provide conceptualization for the links which are a main vehicle to access information on the web. Th...

An integration site for Semantic Web metadata

The Semantic Web has motivated many communities to provide data in a machinereadable format. However, the available data has not been utilized to far to the extent possible. The data, which has been created by a large number of people, is dispersed across the Web. Creating the data without central coordination results in RDF of varying quality and makes it obligatory to cleanse the collected da...

CREAM: CREAting Metadata for the Semantic Web

Richly interlinked, machine-understandable data constitute the basis for the Semantic Web. We provide a framework, CREAM, that allows for creation of metadata. While the annotation mode of CREAM allows to create metadata for existing web pages, the authoring mode lets authors create metadata | almost for free | while putting together the content of a page. As a particularity of our framework, C...