65 research outputs found

    HyperJournal software, PHP scripting and Semantic Web technologies for the Open Access

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    In this article we present an high level overview of the HyperJournal project, an effort to provide novel possibilities both in Scientific Publishing and in access to Scientific Contributions, according to the Open Access movement guidelines. All the work has been implemented using the PHP Web Script language and interfacing with Java modules such as Sesame and RDFGrowth. Such interfaces, here illustrated, are of general use for project with similar needs. While the HyperJournal project itself is in its infancy stage, a first release is already available for download and public use, thus representing one of the certainly not many real and deployable examples of Semantic Web applications

    A Sitemap extension to enable efficient interaction with large quantity of Linked Data

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    Abstract. This paper describes an extension for the Sitemap protocol targeted at the efficient discovery and use of RDF data. Data publishers can state where RDF is located and alternative means to access it. Semantic Web clients and Semantic Web crawlers can use this information to access required RDF data in the most efficient way for the task they have to perform. 1. Introduction an

    A lookup index for Semantic Web resources

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    Abstract. Developers of Semantic Web applications face a challenge with respect to the decentralised publication model: where to find statements about encountered resources. The “linked data ” approach, which mandates that resource URIs should be de-referenced and yield metadata about the resource, helps but is only a partial solution and not followed widely. We present a simple lookup index that crawls and indexes resources on the Semantic Web. Our index allows applications to automatically retrieve sources with information about a certain resource. In contrast to more feature-rich Semantic Web search engines, our index is limited in scope and functionality and is therefore simple, small, and scalable.
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