We introduce community-driven ontology matching and demonstrate the added value to conventional ontology matching solutions of being community-driven. Further, we present an approach to construction of a prototype for community-driven ontology matching. The prototype was made available on the Web

Research on ontology is becoming increasingly widespread in the computer science community, and its importance is being recognized in a multiplicity of research fields and application areas, including knowledge engineering, database design and integration, information retrieval and extraction. We

they pose towards a plausible solution. We consider five general matching directions which we believe can appropriately address those requirements. These are: (i) approximate and partial ontology matching, (ii) interactive ontology matching, (iii) continuous ”design-time ” ontology matching, (iv) community-driven

. At the same time, a number of microprocessor architectures have emerged which have VLIW and SIMD structures that are well matched to the needs of the ILP compilers. Most of these processors are targeted at embedded applications such as multimedia and communications, rather than general-purpose systems

Schema/ontology matching is a critical problem in many application domains, such as, semantic web, schema/ontology integration, data warehouses, e-commerce, catalog matching, etc. Many diverse solutions to the matching problem have been proposed so far. In this paper we present a taxonomy of schema

domains of discourse show a substantial degree of conceptual dynamics, (3) ontology representation languages are hard to understand for the majority of (potential) ontology users and domain experts, and (4) the community does not have control over the ontology evolution. In this thesis, we propose to (1

We introduce the concept of community-driven ontology management and demonstrate the added value to conventional ontology management of being community-driven. Further, we present an implementation of an infrastructure supporting community-driven ontology management. The implemented infrastructure

Ontologies are consensual representations of a domain of discourse and the backbone of the future Semantic Web. Currently, however, only a fraction of Web users can take part in the process of building ontologies. In this paper, we show that standard Wiki technology can be easily used

We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA++ implements significant improvements and offers a comprehensive infrastructure to solve large real-world match problems

Abstract. In this paper we present RelBAC (for Relation Based Access Control), a model and a logic for access control which models communities, possibly nested, and resources, possibly organized inside complex file systems, as lightweight ontologies, and permissions as relations between subjects