Christian Morbidoni

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In this demo we present a first implementation of Semantic Web Pipes, a powerful tool to build RDF-based mashups. Semantic Web pipes are defined in XML and when executed they fetch RDF graphs on the Web, operate on them, and produce an RDF output which is itself accessible via a stable URL. Humans can also use pipes directly thanks to HTML wrapping of the(More)
DBin is a Semantic Web application that enables groups of users with a common interest to cooperatively create semantically structured knowledge bases. These user groups, which we call " Semantic Web Communities " , are made possible by creating customized user environments called " Brainlets ". Brainlets provide user interfaces and domain specific tools(More)
The use of RDF data published on the Web for applications is still a cumbersome and resource-intensive task due to the limited software support and the lack of standard programming paradigms to deal with everyday problems such as combination of RDF data from dierent sources, object identifier consolidation, ontology alignment and mediation, or plain(More)
In this paper we describe RDFSync, a methodology for efficient synchronization and merging of RDF models. RDFSync is based on decomposing a model into Minimum Self-Contained graphs (MSGs). After illustrating theory and deriving properties of MSGs, we show how a RDF model can be represented by a list of hashes of such information fragments. The(More)
Being able to determine the provenience of statements is a fundamental step in any SW trust modeling. We propose a methodology that allows signing of small groups of RDF statements. Groups of statements signed with this methodology can be safely inserted into any existing triple store without the loss of provenance information since only standard RDF(More)
In this paper we give an overview of the DBin Semantic Web information manager. Then we describe how it enables users to create and experience the Semantic Web by exchanging RDF knowledge in P2P "topic" channels. Once sufficient information has been collected locally , rich and fast browsing of the Semantic Web becomes possible without generating external(More)
We present RDFGrowth, an algorithm that addresses a specific yet important scenario: large scale, end user targeted, metadata exchange P2P applications. In this scenario, peers perform browsing and querying of semantic web statements on a local database without directly generating network traffic or remote query execution. The database grows by learning(More)
In this paper we take a view from the bottom to RDF(S) reasoning. We discuss some issues and requirements on reasoning towards effectively building Semantic Web Pipes, aggregating RDF data from various distributed sources. If we leave out complex description logics reasoning and restrict ourselves to the RDF world, it turns out that some problems, in(More)
In this paper we present an architecture that provides Semantic Web annotations of sound clips described by MPEG-7 audio descriptions. The great flexibility of the MPEG-7 standard makes especially difficult to compare descriptions coming from heterogeneous sources. To cope with this, the architecture will first obtain " normalized " versions of the audio(More)