Information Extraction from the Web by Matching Visual Presentation Patterns
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126373" target="_blank" >RIV/00216305:26230/17:PU126373 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-68723-0_2" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-68723-0_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-68723-0_2" target="_blank" >10.1007/978-3-319-68723-0_2</a>
Alternative languages
Result language
angličtina
Original language name
Information Extraction from the Web by Matching Visual Presentation Patterns
Original language description
The documents available in the World Wide Web contain large amounts of information presented in tables, lists or other visually regular structures. The published information is however usually not annotated explicitly or implicitly and its interpretation is left on a human reader. This makes the information extraction from web documents a challenging problem. Most existing approaches are based on a top-down approach that proceeds from the larger page regions to individual data records, which depends on different heuristics. We present an opposite bottom-up approach. We roughly identify the smallest data fields in the document and later, we refine this approximation by matching the discovered visual presentation patterns with the expected semantic structure of the extracted information. This approach allows to efficiently extract structured data from heterogeneous documents without any kind of additional annotations as we demonstrate experimentally on various application domains.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Knowledge Graphs and Language Technology: ISWC 2016 International Workshops: KEKI and NLP&DBpedia
ISBN
978-3-319-68722-3
ISSN
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e-ISSN
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Number of pages
17
Pages from-to
10-26
Publisher name
Springer International Publishing
Place of publication
Kobe
Event location
Kobe
Event date
Oct 17, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000535971000002