Scraping Data from Web Pages Using SPARQL Queries

Author:

Burget RadekORCID

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Ashish, N., Knoblock, C.A.: Wrapper generation for semi-structured internet sources. SIGMOD Rec. 26(4), 8–15 (1997). https://doi.org/10.1145/271074.271078

2. Baumgartner, R., Flesca, S., Gottlob, G.: Visual web information extraction with Lixto. In: VLDB 2001, pp. 119–128. Morgan Kaufmann Publishers Inc., San Francisco (2001)

3. Bizer, C., Meusel, R., Primpeli, A., Brinkmann, A.: Web data commons - microdata, RDFa, JSON-LD, and microformat data sets - extraction results from the october 2022 common crawl corpus (2022). http://webdatacommons.org/structureddata/2022-12/stats/stats.html. Accessed 29 Jan 2023

4. Dilmegani, C.: Best web scraping programming languages in 2023 with stats (2023). https://research.aimultiple.com/web-scraping-programming-languages/. Accessed 05 Feb 2023

5. Fernández-Villamor, J.I., Blasco-García, J., Iglesias, C.A., Garijo, M.: A semantic scraping model for web resources - applying linked data to web page screen scraping. In: Proceedings of ICAART 2011, Roma, Italia (2011)

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1. A Declarative Query Language Enabled Autonomous Deep Web Search Engine;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

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