The term Linked Data refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions- the Web of Data. In this article we present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. We describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward.

Aggregations of Web resources are increasingly important in scholarship as it adopts new methods that are data-centric, collaborative, and networked-based. The same notion of aggregations of resources is common to the mashed-up, socially networked information environment of Web 2.0. We present a mechanism to identify and describe aggregations of Web resources that has resulted from the Open Archives Initiative- Object Reuse and Exchange (OAI-ORE) project. The OAI-ORE specifications are based on the principles of the Architecture of the World Wide Web, the Semantic Web, and the Linked Data effort. Therefore, their incorporation into the cyberinfrastructure that supports eScholarship will ensure the integration of the products of scholarly research into the Data Web.

A major fraction of digital information is stored in file systems. File systems organize files usually in labelled directory trees and provide a minimum support for user-driven file annotation, linkage and categorization. Although file systems play a major role in knowledge organization, both in enterprise contexts as well as in the personal information sphere, they have rarely been considered in Web-based information integration. To a large extent, this can be contributed to the limited metadata support of file systems and to the lack of stable identifiers for file and directories, which makes it hard to expose these objects in a global Web. We present TripFS, a lightweight approach for exposing parts of local filesystems as Linked Data. Serving file system objects via dereferenceable HTTP URIs paves the way to integrate them with the Web of Data, and enables new possibilities of exploiting file system data, for example, by linking them with other data sources or by annotating them using Semantic Web technologies. Categories and Subject Descriptors

Aggregations of Web resources are increasingly important in scholarship as it adopts new methods that are data-centric, collaborative, and networked-based. The same notion of aggregations of resources is common to the mashed-up, socially networked information environment of Web 2.0. We present a mechanism to identify and describe aggregations of Web resources that has resulted from the Open Archives Initiative- Object Reuse and Exchange (OAI-ORE) project. The OAI-ORE specifications are based on the principles of the Architecture of the World Wide Web, the Semantic Web, and the Linked Data effort. Therefore, their incorporation into the cyberinfrastructure that supports eScholarship will ensure the integration of the products of scholarly research into the Data Web.