RDF and RDF Schema are two W3C standards aimed at enriching the Web with machine-processable semantic data.

RDF and RDF Schema provide the first W3C standard to enrich the Web with machine-processable semantic data. However, to be able to use this semantic data, a scalable, persistent RDF store and a powerful query engine using an expressive query language are needed. Sesame is an extensible architecture implementing both of these. Sesame can be based on arbitrary repositories, ranging from traditional Data Base Management Systems, to dedicated RDF triple stores. Sesame also implements a query engine for RQL, the most powerful RDF/RDF Schema query language to date. 1

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this document are: (i) An overview of the On-To-Knowledge building blocks and their relationships, (ii) a methodology for introducing and maintaining ontology based knowledge management solutions into enterprises with a focus on Knowledge Processes and Knowledge Meta Processes and, last but not least, (iii) the illustration of process steps by examples and lessons learned derived from applying the OTK tool suite in the OTK case studies according to the methodology

A widely acknowledged obstacle for realizing the vision of the Semantic Web is the inability of many current Semantic Web approaches to cope with data available in such diverging representation formalisms as XML, RDF, or Topic Maps. A common query language is the first step to allow transparent access to data in any of these formats. To further the understanding of the requirements and approaches proposed for query languages in the conventional as well as the Semantic Web, this report surveys a large number of query languages for accessing XML, RDF, or Topic Maps. This is the first systematic survey to consider query languages from all these areas. From the detailed survey of these query languages, a common classification scheme is derived that is useful for understanding and differentiating languages within and among all three areas.

This document is part of a research project partially funded by the IST Programme of the Commission of the European Communities as project number IST-1999-10132. The partners in this project are: Vrije Universiteit Amsterdam VUA (coordinator, NL), Institute AIFB / University of Karlsruhe (Germany), Schweizerische Lebensversicherungs- und Rentenanstalt/Swiss Life (Switzerland), British Telecommunications plc (UK), CognIT a.s. (Norway), EnerSearch AB (Sweden), AIdministrator Nederland BV (NL). Vrije Universiteit Amsterdam (VUA) Division of Mathematics and Informatics W&I De Boelelaan 1081a 1081 HV Amsterdam The Netherlands Tel: +31 20 4447718, Fax: +31 20 872 27 22 Contactperson: Dieter Fensel E-mail: dieter@cs.vu.nl University of Karlsruhe Institute AIFB Englerstr. 28 D-76128 Karlsruhe Germany Tel: +49 721 608 3923, Fax: +49 721 608 6580 Contactperson: Rudi Studer E-mail: studer@aifb.uni-karlsruhe.de Schweizerische Lebensversic

There is an apparent need for specifying the integration of multiple knowledge sources during the design of Web Information Systems (WIS) where the actual data is often retrieved from several content providers. Despite that, there exists very little work on integration within the context of WIS engineering and the related design methodologies in particular. We argue that this new context brings several additional requirements which must be dealt with in order to be able to successfully deploy distributed WIS. In this paper we elaborate a model that covers the integration phase of the WIS design trajectory. We centered our approach around the emerging data standard on the Semantic Web - RDF. The proposed

Abstract. This paper focuses on a lightweight ontology-based