A Framework for Selecting Trusted Semantic Web Services

Trusted semantic Web services might play a key role in the Future Internet. In this paper, we describe WSTO our comprehensive trust based framework supporting the selection and invocation of semantic Web services. Our framework combines the Web Services Modelling Ontology (WSMO) with a classification framework developed in the IBROW project. Our approach is generic enough to be able to account for a wide variety of trust models including those based on security, policy and end-user recommendations. Expanding on earlier work within this paper, we describe the model in detail

Representation and reasoning for DAML-based policy and domain services in KAoS and nomads

To increase the assurance with which agents can be deployed in operational settings, we have been developing the KAoS policy and domain services. In conjunction with Nomads strong mobility and safe execution features, KAoS services and tools allow for the specification, management, conflict resolution, and enforcement of DAML-based policies within the specific contexts established by complex organizational structures. In this paper, we will discuss results, issues, and lessons learned in the development of these representations, tools, and services and their use in military and space applications Keywords social order, conventions, norms, social control; cultural norms and institutions, ontologies for agents and social modeling; ontologies in agent-based information systems and knowledge management, DAML, policy, domains, KAoS, Nomads, human-agent teamwork, adjustable autonomy, coalition, augmented cognition, cognitive prosthesis 1

A General Framework for Web Content Filtering

Web content filtering is a means to make end-users aware of the `quality\u27 of Web resources by evaluating their contents and/or characteristics against users\u27 preferences. Although they can be used for a variety of purposes, Web content filtering tools are mainly deployed as a service for parental control purposes, and for regulating the access to Web content by users connected to the networks of enterprises, libraries, schools, etc. Current Web filtering tools are based on well established techniques, such as data mining and firewall blocking, and they typically cater to the filtering requirements of very specific end-user categories. Therefore, what is lacking is a unified filtering framework able to support all the possible application domains, and making it possible to enforce interoperability among the different filtering approaches and the systems based on them. In this paper, a multi-strategy approach is described, which integrates the available techniques and focuses on the use of metadata for rating and filtering Web information. Such an approach consists of a filtering meta-model, referred to as MFM (Multi-strategy Filtering Model), which provides a general representation of the Web content filtering domain, independently from its possible applications, and of two prototype implementations, partially carried out in the framework of the EU projects EUFORBIA and QUATRO, and designed for different application domains: user protection and Web quality assurance, respectively