AgentMat - framework for data scraping and semantization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A00207514" target="_blank" >RIV/00216208:11320/09:00207514 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

AgentMat - framework for data scraping and semantization

Popis výsledku v původním jazyce

Most of the enormous amount of information from the internet is available just like web pages made for a human reader. They don?t have any common interface for accessing, searching or browsing the data. Hence, it?s hard to extract the semantic data fromthe web, categorize them and keep them updated. For this purpose we have designed and implemented a system called AgentMat. This system is designed for efficient extraction of large amount of data from the web pages. AgentMat processing is based on an XML-based language describing the given extraction task in a declarative way. Thanks to this scraping system the raw contents from the irregularly updated and unstructured web pages can be kept categorized and accessed together with the semantic metadata.

Název v anglickém jazyce

AgentMat - framework for data scraping and semantization

Popis výsledku anglicky

Most of the enormous amount of information from the internet is available just like web pages made for a human reader. They don?t have any common interface for accessing, searching or browsing the data. Hence, it?s hard to extract the semantic data fromthe web, categorize them and keep them updated. For this purpose we have designed and implemented a system called AgentMat. This system is designed for efficient extraction of large amount of data from the web pages. AgentMat processing is based on an XML-based language describing the given extraction task in a declarative way. Thanks to this scraping system the raw contents from the irregularly updated and unstructured web pages can be kept categorized and accessed together with the semantic metadata.

Druh

R - Software

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

KSI-2009-03R

Technické parametry

Neuveden

Ekonomické parametry

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IČO vlastníka výsledku

00216208

Název vlastníka

MFF