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The W3C Semantic Sensor Network Incubator group (the SSN-XG), as one of its activities, produced an OWL 2 ontology to describe sensors and observations the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe the capabilities of sensors, the measurement processes used and the resultant observations, and can be aligned(More)
The developed world is awash with sensors. However, they are typically locked into unimodal closed systems. To unleash their full potential, access to sensors should be opened such that their data and services can be integrated with data and services available in other information systems facilitating novel applications and services that are based on the(More)
User profiling techniques have mostly focused on retrieving and representing a user's knowledge, context and interests in order to provide recommendations, personalise search, and build user-adaptive systems. However, building a user profile on a single social network limits the quality and completeness of the profile, especially when interoperability of(More)
Over a decade after RDF has been published as a W3C recommendation , publishing open and machine-readable content on the Web has recently received a lot more attention, including from corporate and governmental bodies; notably thanks to the Linked Open Data community, there now exists a rich vein of heterogeneous RDF data published on the Web (the so-called(More)
This paper introduces MOAT, a lightweight Semantic Web framework that provides a collaborative way to let Web 2.0 content producers give meanings to their tags in a machine-readable way. To achieve this goal, this approach relies on Linked Data principles, using URIs from existing resources to define these meanings. That way, users can create inter-linked(More)
A frequent topic discussed in the Linked Data community, especially when trying to outreach its values, is " What can we do with all this data ? ". In this paper, we demonstrate (1) how to measure semantic distance on Linked Data in order to identify relatedness between resources, and (2) how such measures can be used to provide a new kind of(More)
In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from micro blogging data. We focus on users interested in analyzing social signals collectively for sense making. Our proposal enables flexibility in selecting subsets for analysis, alleviating information overload. We define an architecture that is based(More)
While the use of Web 2.0 tools and principles in organizations — a practice commonly known as Enterprise 2.0 — helps knowledge workers to collaboratively build and exchange information more easily, it introduces several issues in terms of efficiently integrating and retrieving this information. In this paper, we describe how Semantic Web(More)
According to a survey we recently conducted, Twitter was ranked in the top three services used by Semantic Web researchers to spread information. In order to understand how Twitter is practically used for spreading scientific messages , we captured tweets containing the official hashtags of three conferences and studied (1) the type of content that(More)