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On the semantics of TPF-QS towards publishing and querying RDF streams at web-scale

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Abstract
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.
Keywords
Linked Data, RDF stream processing, continuous querying, TPF-QS, RSP-QL, SPARQL

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Chicago
Taelman, Ruben, Riccardo Tommasini, Joachim Van Herwegen, Miel Vander Sande, Emanuele Della Valle, and Ruben Verborgh. 2018. “On the Semantics of TPF-QS Towards Publishing and Querying RDF Streams at Web-scale.” In PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON SEMANTIC SYSTEMS, 137:43–54.
APA
Taelman, R., Tommasini, R., Van Herwegen, J., Vander Sande, M., Della Valle, E., & Verborgh, R. (2018). On the semantics of TPF-QS towards publishing and querying RDF streams at web-scale. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON SEMANTIC SYSTEMS (Vol. 137, pp. 43–54). Presented at the 14th Annual International Conference on Semantic Systems (SEMANTiCS).
Vancouver
1.
Taelman R, Tommasini R, Van Herwegen J, Vander Sande M, Della Valle E, Verborgh R. On the semantics of TPF-QS towards publishing and querying RDF streams at web-scale. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON SEMANTIC SYSTEMS. 2018. p. 43–54.
MLA
Taelman, Ruben et al. “On the Semantics of TPF-QS Towards Publishing and Querying RDF Streams at Web-scale.” PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON SEMANTIC SYSTEMS. Vol. 137. 2018. 43–54. Print.
@inproceedings{8623340,
  abstract     = {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.},
  author       = {Taelman, Ruben and Tommasini, Riccardo and Van Herwegen, Joachim and Vander Sande, Miel and Della Valle, Emanuele and Verborgh, Ruben},
  booktitle    = {PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON SEMANTIC SYSTEMS},
  issn         = {1877-0509},
  keywords     = {Linked Data,RDF stream processing,continuous querying,TPF-QS,RSP-QL,SPARQL},
  language     = {eng},
  location     = {Vienna, AUSTRIA},
  pages        = {43--54},
  title        = {On the semantics of TPF-QS towards publishing and querying RDF streams at web-scale},
  url          = {http://dx.doi.org/10.1016/j.procs.2018.09.005},
  volume       = {137},
  year         = {2018},
}

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