Ontology matching is an important task to achieve interoperation between semantic web applications using different ontologies. Structural similarity plays a central role in ontology matching. However, the existing approaches rely heavily on lexical similarity, and they mix up lexical similarity with structural similarity. In this paper, we present a graph matching approach for ontologies, called GMO. It uses bipartite graphs to represent ontologies, and measures the structural similarity between graphs by a new measurement. Furthermore, GMO can take a set of matched pairs, which are typically previously found by other approaches, as external input in matching process. Our implementation and experimental results are given to demonstrate the eec tiveness of the graph matching approach.

Falcon-AO is an automatic tool for aligning ontologies. There are two matchers integrated in Falcon-AO: one is a matcher based on linguistic matching for ontologies, called LMO; the other is a matcher based on graph matching for ontologies, called GMO. In Falcon-AO, GMO takes the alignments generated by LMO as external input and outputs additional alignments. Reliable alignments are gained through LMO as well as GMO according to the concept of reliability. The reliability is obtained by observing the linguistic comparability and structural comparability of the two ontologies being compared. We have performed Falcon-AO on tests provided by OAEI 2005 campaign and got some preliminary results. In this paper, we describe the architecture and techniques of Falcon-AO in brief and present our results in more details. Finally, comments abouttest cases and lessons learnt from the campaign will be presented.

We present our approach in building WonderDesk-a semantic desktop for resource sharing and management, which is a component of our WonderSpace application and designed to be an e-Science tool. We propose a desktop architecture for resource sharing and management using semanticenriched RSS model and P-P technology. To enable fine-grained metadata for e-Science, an ontology about resource is presented as basic vocabulary to be used in constructing resource metadata along with RSS. Further, group-specific discipline ontology is proposed to enhance the semantic description of information resource within user group.

Access control is an important issue among the security problems of resources in distributed systems. In order to enable entities in distributed systems to understand and interpret policies correctly, common concern is drawn to the problem of expressing access control policies with semantic information. In this paper, we introduce how to express access control policies based on OWL and SWRL. It includes a definition of OWL ontology to describe the terms and a declaration of SWRL rules to explicit the relationship between properties. Finally some use cases are given to explain how to express policies in form of rule using the terms defined beforehand.

In this paper, two kinds of vocabulary consent relations are proposed as a mechanism for the partial reuse and integration of ontologies, and then a formal semantics of consent relationships is given to support such a mechanism. Particularly, some semantic conditions are proposed to guarantee the expected consequences of vocabulary consent relationships. The issue about reasoning with the given semantic framework is also briefly discussed.