Modeling Views for Semantic Web Using eXtensible Semantic (XSemantic) Nets Rajugan, R. 1 , Elizabeth Chang 2 , Ling Feng 3 and Tharam S. Dillon 1 1 eXel Lab, Faculty of IT, University of Technology, Sydney, Australia {rajugan, tharam}@it.uts.edu.au http://exel.it.uts.edu.au 2 School of Information Systems, Curtin University of Technology, Australia Elizabeth.Chang@cbs.cutin.edu.au 3 Faculty of Computer Science, University of Twente, The Netherlands ling@ewi.utwente.nl Abstract. The emergence of Semantic Web (SW) and the related technologies promise to make the web a meaningful experience. Yet, high level modeling, design and querying techniques proves to be a challenging task for organiza- tions that are hoping utilize the SW paradigm for their industrial applications, which are still using traditional database techniques. To address such an issue, in this paper, we propose a view model for the SW (SW-View), to SW-enable traditional solutions. First we outline the view model, its properties and some modeling issues, followed by some discussions on modeling such views (at the conceptual level). We also provide a brief discussion on how this view model is utilized in the design and construction of materialized ontology views to sup- port extraction of sub-ontologies. 1 Introduction Many traditional database concepts and techniques have been transformed and adopted to new web application platforms, which are mainly based on core Object- Oriented (OO) principles. For example, works such as [2-4, 16, 25] are good exam- ples in this direction. The emergence of Semantic Web (SW) [33] and the related technologies promise to make the web a meaningful experience and it is another step towards the next generation of Enterprise Information Systems (EIS). However, suc- cess of SW and its applications heavily depends on utilization and interoperability of well formulated Ontology bases (and traditional data) in an automated, heterogeneous environment. For example, utilization, integration and extraction of ontology bases in the context of EIS, where, enterprise vocabularies can be automatically extracted from various distributed sources and be used in one or more SW (or traditional) ap- plications and e-services. One such scenario is shown in Fig. 1. This creates the need investigate successful database technologies, such as views, in the context of SW, where (materialized) ontology views [37] can be used for; (a) ontology extraction, (b) ontology versioning (c) SW-enabling traditional data sources and (d) sub-ontology generation, in an industrial settings. However, unlike traditional