On the semantics of TPF-QS towards publishing and querying RDF streams at web-scale
| Autor: | Riccardo Tommasini, Ruben Taelman, Emanuele Della Valle, Miel Vander Sande, Joachim Van Herwegen, Ruben Verborgh |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Technology and Engineering
Sparql Computer science Continuous querying Tpf-qs 02 engineering and technology Semantics computer.software_genre Query language SPARQL Rsp-ql 020204 information systems 0202 electrical engineering electronic engineering information engineering RDF Linked Data Rdf stream processing Semantic Web Reference model General Environmental Science Database Data stream mining RDF stream processing computer.file_format Linked data continuous querying General Earth and Planetary Sciences TPF-QS 020201 artificial intelligence & image processing RSP-QL computer |
| Zdroj: | PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON SEMANTIC SYSTEMS SEMANTICS |
| ISSN: | 1877-0509 |
| Popis: | RDF Stream Processing (RSP) is a rapidly evolving area of research that focuses on extensions of the Semantic Web in order to model and process Web data streams. While state-of-the-art approaches concentrate on server-side processing of RDF streams, we investigate the Triple Pattern Fragments Query Streamer (TPF-Qs) method for server-side publishing of RDF streams, which moves the workload of continuous querying to clients. We formalize TPF-QS in terms of the RSP-QL reference model in order to formally compare it with existing RSP query languages. We experimentally validate that, compared to the state of the art, the server load of TPF-QS scales better with increasing numbers of concurrent clients in case of simple queries, at the cost of increased bandwidth consumption. This shows that TPF-QS is an important first step towards a viable solution for Web-scale publication and continuous processing of RDF streams. (C) 2018 The Authors. Published by Elsevier B.V. |
| Databáze: | OpenAIRE |
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