InterDataNet Naming System: a Scalable Architecture for Managing URIs of Heterogeneous and Distributed Data with Rich Semantics Davide Chini, Franco Pirri, Maria Chiara Pettenati, Samuele Innocenti, Lucia Ciofi Electronics and Telecommunications Department University of Florence Via Santa Marta, 3 50139 Florence, Italy davide.chini@unifi.it, franco.pirri@unifi.it, mariachiara.pettenati@unifi.it, samuele.innocenti@unifi.it, lucia.ciofi@unifi.it Abstract. Establishing equivalence links between (semantic) resources, as it is the case in the Linked Data approach, implies permanent search, analysis and alignment of new (semantic) data in a rapidly changing environment. Moreover the distributed management of data brings not negligible requirements as regards their authorship, update, versioning and replica management. Instead of providing solutions for the above issues at the application level, our approach relies on the adoption of a common layered infrastructure: InterDataNet (IDN). The core of the IDN architecture is the Naming System aimed at providing a scalable and open service to support consistent reuse of entities and their identifiers, enabling a global reference and addressing mechanism for convenient retrieval of resources. The IDN architecture also provides basic collaboration-oriented functions for (semantic) data, featuring authorship control, versioning and replica management through its stack layers. Keywords: interoperability, infrastructure, architecture, scalability, naming system, URIs resolution, Web of Data, collaboration 1. Introduction The main vision of the future Web takes as final goal the Semantic Web, a “global space for the seamless integration of knowledge bases into a global, open, decentralized and scalable knowledge space” [1]. However, it has been understood that the realization of the Semantic Web requires a preliminary step: the so-called Web of Data [2]. Within the context of the Web of Data, creation, access, integration, and dissemination of (semantic) data is pivotal. In recent times, Linked Data, “an emerging meme deeply rooted in Web architecture, has emerged as a viable and powerful vehicle for applying the essence of the Web (URIs)” [3] to the pursuit of the availability of a large amount of semantic data for building Web-wide semantic application. Linked Data, is then a way for publishing data in the direction of the Web