Information Extraction from Web Sources based on Multi-aspect Content Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116964" target="_blank" >RIV/00216305:26230/15:PU116964 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10840" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10840</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-25518-7_7" target="_blank" >10.1007/978-3-319-25518-7_7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Information Extraction from Web Sources based on Multi-aspect Content Analysis

Popis výsledku v původním jazyce

Information extraction from web pages is often recognized as a dicult task mainly due to the loose structure and insucient 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 different 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.

Název v anglickém jazyce

Information Extraction from Web Sources based on Multi-aspect Content Analysis

Popis výsledku anglicky

Information extraction from web pages is often recognized as a dicult task mainly due to the loose structure and insucient 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 different 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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Semantic Web Evaluation Challenges, SemWebEval 2015 at ESWC 2015

ISBN

978-3-319-25517-0

ISSN

1865-0929

e-ISSN

—

Počet stran výsledku

12

Strana od-do

81-92

Název nakladatele

Springer International Publishing

Místo vydání

Portorož

Místo konání akce

Portoroz

Datum konání akce

31. 5. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000369663000007