In this paper we discuss a tool for semantic annotation and search in a collection of art images. Multiple existing ontologies are used to support this process, including the Art and Architecture Thesaurus, WordNet, ULAN and Iconclass. We discuss knowledge-engineering aspect such as the annotation structure and links between the ontologies. The annotation and search process is illustrated with an application scenario.

The success of the Semantic Web crucially depends on the existence of Web pages that provide machine-understandable meta-data. This meta-data is typically added in the semantic annotation process which is currently not part of the Web engineering process. Web engineering, however, proposes methodologies to design, implement and maintain Web applications but lack the generation of meta-data. In this paper we introduce a technique to extend existing Web engineering methodologies to develop semantically annotated Web pages. The novelty of this approach is the definition of a mapping from XML Schema to ontologies, called WEESA, that can be used to automatically generate RDF meta-data from XML content documents. We further show how we integrated the WEESA mapping into an Apache Cocoon transformer to easily extend XML based Web applications to semantically annotated Web application.

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Abstract. In this article we report on a user study aimed at evaluating and improving a thesaurus browser. The browser is intended to be used by documentalists of a large public audio-visual archive for finding appropriate indexing terms for TV programs. The subjects involved in the study were documentalists of the institutions involved. The study provides insight into the value of various thesaurus browsing and searching techniques. 1

This document, a demonstration proposal for ISWC 2004, introduces the Artificial Memory prototype system which enables Personal Semantic Subdocument Knowledge Management (PS-KM).