Publication detail
Creating Searchable Web Page Snapshots using Semantic Technologies
BURGET, R. SALEM, H.
Original Title
Creating Searchable Web Page Snapshots using Semantic Technologies
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
For many applications, it is necessary to create snapshots of web pages that accurately describe how the page appeared in a browser at a given point in time. Storing the original code (even when including all referenced resources) and creating bitmap screenshots have many drawbacks when it comes to searching, viewing and manipulating such snapshots. In this paper, we demonstrate a different approach that uses a remotely controlled web browser for rendering web pages. We capture the complete information about the rendered page and all pieces of its content, transform it to an explicit RDF-based model representation stored in a repository. Then, the stored page models may be examined using an interactive web-based tools, exported in different formats, linked with other data sources, and queried using SPARQL.
Keywords
Web page snapshot, Page rendering, Data extraction, RDF, SPARQL
Authors
BURGET, R.; SALEM, H.
Released
16. 6. 2023
Publisher
Springer Nature Switzerland AG
Location
Alicante
ISBN
978-3-031-34443-5
Book
Web Engineering - 23rd International Conference, ICWE 2023
Edition
Lecture Notes in Computer Science
Pages from
355
Pages to
358
Pages count
4
URL
BibTex
@inproceedings{BUT183805,
author="Radek {Burget} and Hamza {Salem}",
title="Creating Searchable Web Page Snapshots using Semantic Technologies",
booktitle="Web Engineering - 23rd International Conference, ICWE 2023",
year="2023",
series="Lecture Notes in Computer Science",
pages="355--358",
publisher="Springer Nature Switzerland AG",
address="Alicante",
doi="10.1007/978-3-031-34444-2\{_}26",
isbn="978-3-031-34443-5",
url="https://link.springer.com/chapter/10.1007/978-3-031-34444-2_26"
}Documents
Responsibility: Ing. Marek Strakoš