Matches in Ruben’s data for { <https://dx.doi.org/10.1007/978-3-319-98192-5_28> ?p ?o }
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- 978-3-319-98192-5_28 author me.
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- 978-3-319-98192-5_28 maker me.
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- 978-3-319-98192-5_28 maker gayane_sedrakyan.
- 978-3-319-98192-5_28 maker me.
- 978-3-319-98192-5_28 title "Supporting sustainable publishing and consuming of live Linked Time Series Streams".
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- 978-3-319-98192-5_28 name "Supporting sustainable publishing and consuming of live Linked Time Series Streams".
- 978-3-319-98192-5_28 label "Supporting sustainable publishing and consuming of live Linked Time Series Streams".
- 978-3-319-98192-5_28 name "Supporting sustainable publishing and consuming of live Linked Time Series Streams".
- 978-3-319-98192-5_28 topic World_Wide_Web.
- 978-3-319-98192-5_28 subject World_Wide_Web.
- 978-3-319-98192-5_28 authorList b0_b2065.
- 978-3-319-98192-5_28 topic World_Wide_Web.
- 978-3-319-98192-5_28 abstract "The road to publishing public streaming data on the Web is paved with trade-offs that determine its viability. The cost of unrestricted query answering on top of data streams, may not be affordable for all data publishers. Therefore, public streams needs to be funded in a sustainable fashion to remain online. In this paper we introduce an overview of possible query answering features for live time series as multidimensional interfaces. For example, from a live parking availability data stream, pre-calculated time constrained statistical indicators or geographically classified data can be provided to clients on demand. Furthermore, we demonstrate the initial developments of a Linked Time Series server that supports such features through an extensible modular architecture. Benchmarking the costs associated to each of these features allows to weigh the trade-offs inherent to publishing live time series and establishes the foundations to create a decentralized and sustainable ecosystem for live data streams on the Web.".
- 978-3-319-98192-5_28 datePublished "2018".
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