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MILIČKA, M. BURGET, R.
Original Title
Information Extraction from Web Sources based on Multi-aspect Content Analysis
Type
conference paper
Language
English
Original Abstract
Information extraction from web pages is often recognized as a diffcult task mainly due to the loose structure and insuffcient semantic annotation of their HTML code. Since the web pages are primarily created for being viewed by human readers, their authors usually do not pay much attention to the structure and even validity of the HTML code itself. The CEUR Workshop Proceedings pages are a good illustration of this. Their code varies from an invalid HTML markup to fully valid and semantically annotated documents while preserving a kind of unied visual presentation of the contents. In this paper, as a contribution to the ESWC 2015 Semantic Publishing Challenge, we present an information extraction approach based on analyzing the rendered pages rather than their code. The documents are represented by an RDF-based model that allows to combine the results of difffferent page analysis methods such as layout analysis and the visual and textual feature classication. This allows to specify a set of generic rules for extracting a particular information from the page independently on its code.
Keywords
document modeling, information extraction, page segmentation, content classification, ontology, RDF
Authors
MILIČKA, M.; BURGET, R.
RIV year
2015
Released
31. 5. 2015
Publisher
Springer International Publishing
Location
Portorož
ISBN
978-3-319-25517-0
Book
Semantic Web Evaluation Challenges, SemWebEval 2015 at ESWC 2015
Edition
Communications in Computer and Information Science
1865-0929
Periodical
Year of study
Number
548
State
Federal Republic of Germany
Pages from
81
Pages to
92
Pages count
12
URL
https://www.fit.vut.cz/research/publication/10840/
BibTex
@inproceedings{BUT119821, author="Martin {Milička} and Radek {Burget}", title="Information Extraction from Web Sources based on Multi-aspect Content Analysis", booktitle="Semantic Web Evaluation Challenges, SemWebEval 2015 at ESWC 2015", year="2015", series="Communications in Computer and Information Science", journal="Communications in Computer and Information Science", volume="2015", number="548", pages="81--92", publisher="Springer International Publishing", address="Portorož", doi="10.1007/978-3-319-25518-7\{_}7", isbn="978-3-319-25517-0", issn="1865-0929", url="https://www.fit.vut.cz/research/publication/10840/" }
Documents
paper1.pdf