Andrea Perego

Enabling full interoperability within and between population-based patient-registry domains would open up access to a rich and unique source of health data for secondary data usage. Previous attempts to tackle patient-registry interoperability have met with varying degrees of success, but a unifying solution remains elusive. The purpose of this paper is to show by practical example how a solution is attainable via the implementation of an existing framework based of the concept of federated, semantic metadata registries. One important feature motivating the use of this framework is that it can be implemented gradually and independently within each patient-registry domain. By employing linked open data principles, the framework extends the ISO/IEC 11179 standard to provide both syntactic and semantic interoperability of data elements with the means of specifying automated extraction scripts for retrieval of data from different registry content models. The examples provided address the domain of European population-based cancer registries to demonstrate the feasibility of the approach. One of the examples shows how quick gains are derivable by allowing retrieval of aggregated core data sets. The other examples show how aggregated full sets of data and record-level data might also be retrieved from each local registry. An infrastructure of patient-registry domains adhering to the principles of the framework would provide the semantic contexts and inter-linkage of data necessary for automated search and retrieval of registry data. It would thereby also lay the foundation for making registry data serviceable to artificial intelligence (AI) applications.

Data owners are creating an ever richer set of information resources online, and these are being used for more and more applications. Spatial data on the Web is becoming ubiquitous and voluminous with the rapid growth of location-based services, spat

Collaborative tagging is one of the most popular services available online, and it allows end user to loosely classify either online or offline resources based on their feedback, expressed in the form of free-text labels (i.e., tags). Although tags may not be per se sensitive information, the wide use of collaborative tagging services increases the risk of cross referencing, thereby seriously compromising user privacy. In this paper, we make a first contribution toward the development of a privacy-preserving collaborative tagging service, by showing how a specific privacy-enhancing technology, namely tag suppression, can be used to protect end-user privacy. Moreover, we analyze how our approach can affect the effectiveness of a policy-based collaborative tagging system that supports enhanced web access functionalities, like content filtering and discovery, based on preferences specified by end users.

Sharing resources across multiple information communities requires new technologies. This article highlights activities and best practices of some EU projects as they relate to linked open data. This paper also provides a better understanding of the issues related to semantic interoperability in the context of environmental data management in the EU, and of the efforts to address these problems. The paper also provide the EU policy context and highlight solutions adopted in the Infrastructure for Spatial Information in the European Community (INSPIRE) for enabling semantic interoperability, as well as their relevance to linked and open data.

Web-based social networks (WBSNs) are online communities that allow users to publish resources (e.g., personal data, annotations, blogs) and to establish relationships, possibly of a different type (“friend,” “colleague,” etc.) for purposes that may concern business, entertainment, religion, dating, and so forth. In the last few years, the usage and diffusion of WBSNs has been increasing, with about 300 Web sites collecting the information of more than 400 million registered users. As a result, the “net model” is today used more and more to communicate, share information, make decisions, and ‘do business’ by companies and organizations (Staab et al., 2005). Regardless of the purpose of a WBSN, one of the main reasons for participating in social networking is to share and exchange information with other users. Recently, thanks to the adoption of Semantic Web technologies such as FOAF and other RDF-based vocabularies (Brickley & Miller, 2005; Davis & Vitiello, 2005; Golbeck, 2004), accessing and disseminating information over multiple WBSNs has been made simpler (Ding, Zhou, Finin, & Joshi, 2005). If this has been quite a relevant improvement towards an easier sharing of information, it makes more urgent that content owners have control over information access. In fact, making available possibly sensitive and private data and resources implies that they can be used by third parties for purposes different from the intended ones. As a matter of fact, users’ personal data and resources are regularly exploited not only by companies for marketing purposes, but also by governments and institutions for tracking persons’ behaviors and opinions, and in the worst case, by online predators (Barnes, 2006). It is then a challenging issue to devise security mechanisms for social networks, able to protect private information and regulate access to shared resources. In this article, besides providing an overview of the characteristics of the WBSN environment and its protection requirements, we illustrate the current approaches and future trends to social network security, with particular attention paid to the emerging technologies related to the so-called Web 2.0.

A Decentralized Security Framework for Web-Based Social Networks: 10.4018/978-1-61692-000-5.ch022: The wide diffusion and usage of social networking Web sites in the last years have made publicly available a huge amount of possible sensitive information