Tobias Käfer

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In this paper, we present the design and first results of the Dynamic Linked Data Observatory : a long-term experiment to monitor the two-hop neighbourhood of a core set of eighty thousand diverse Linked Data documents on a weekly basis. We present the methodology used for sampling the URIs to monitor, retrieving the documents, and further crawling part of(More)
We describe work-in-progress on the design and methodology of the Dynamic Linked Data Observatory : a framework to monitor Linked Data over an extended period of time. The core goal of our work is to collect frequent, continuous snapshots of a subset of the Web of Data that is interesting for further study and experimentation, with an aim to capture raw(More)
The success of Linked Data (LD) [1] has enabled an environment in which application data can easily be enriched by the abundance of available information on the Web. Many recent approaches of the Linked Data community go beyond the mere exposure of static data and propose the combination of Linked Data and Representational State Transfer (REST) [3, 5, 7] to(More)
Little is known about the dynamics of Linked Data, primarily because there have been few, if any, suitable collections of data made available for analysis of how Linked Data documents evolve over time. We aim to address this issue. We propose the Dynamic Linked Data Observatory, which provides the community with such a collection, monitoring a fixed set of(More)
We demonstrate a Virtual Reality information system that shows the applicability of REST in highly dynamic environments as well as the advantages of Linked Data for on-the-fly data integration. We integrate a motion detection sensor application to remote control an avatar in the Virtual Reality. In the Virtual Reality, information about the user is(More)
In this article the authors evaluate the adoption and applicability of established ontology engineering results by the Linked Data providers’ community. The evaluation relies on a combination of qualitative and quantitative methods; in particular, the authors conducted an analytical survey containing structured interviews with data publishers in order to(More)
Analyses of dynamic Linked Data are inherently dependent on changes in RDF graphs (logical level) and what happens on the HTTP and networking level (physical level). However, these dependencies have been reflected in previous works only to a limited extent, which may lead to inaccurate conclusions about the dynamics of the data. To overcome this limitation,(More)