Building a Knowledge Base with Data Crawled from Semantic Web
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F11%3A00184083" target="_blank" >RIV/68407700:21240/11:00184083 - isvavai.cz</a>
Result on the web
<a href="http://research.i-lasek.cz/_media/publications/datakon2011_lasek.pdf" target="_blank" >http://research.i-lasek.cz/_media/publications/datakon2011_lasek.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Building a Knowledge Base with Data Crawled from Semantic Web
Original language description
In this paper, we compare various approaches to semantic web data crawling. We introduce our crawling framework, which enables us to organize and clean the data before they are presented to the end user or used as a knowledge base. We present methods ofsemantic data cleaning in order to keep the knowledge base consistent. We used the proposed framework to build a knowledge base containing data about persons crawled from semantic web data sources. In this paper we present the results of the crawling process.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DATAKON 2011
ISBN
978-80-214-4329-7
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
113-122
Publisher name
Vysoké učení technické v Brně
Place of publication
Brno
Event location
Mikulov
Event date
Oct 15, 2011
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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