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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F13%3A10139474%21RIV14-GA0-11320___
rdf:type
skos:Concept n15:Vysledek
rdfs:seeAlso
http://www.igi-global.com/chapter/user-assisted-creation-open-linked/77198
dcterms:description
In this paper we describe our project under development and proof of concept for creation large Open-Linked Data repositories. Main problem is two fold: - Who will create (annotate) Open-Linked Data and in which vocabularies? - What will be the usage and profit of it? For first problem we propose several procedures how to create Open-Linked data including assisted creation of annotations (serving as base line or training set for Web Information Extraction tools), employ the social network and also specific approaches to create Open-linked data from governmental data resources. We describe some use cases where such data can be used - e.g in e-commerce, recommending systems and in governmental and public policy projects. In this paper we describe our project under development and proof of concept for creation large Open-Linked Data repositories. Main problem is two fold: - Who will create (annotate) Open-Linked Data and in which vocabularies? - What will be the usage and profit of it? For first problem we propose several procedures how to create Open-Linked data including assisted creation of annotations (serving as base line or training set for Web Information Extraction tools), employ the social network and also specific approaches to create Open-linked data from governmental data resources. We describe some use cases where such data can be used - e.g in e-commerce, recommending systems and in governmental and public policy projects.
dcterms:title
User Assisted Creation of Open-Linked Data for Training Web Information Extraction in a Social Network User Assisted Creation of Open-Linked Data for Training Web Information Extraction in a Social Network
skos:prefLabel
User Assisted Creation of Open-Linked Data for Training Web Information Extraction in a Social Network User Assisted Creation of Open-Linked Data for Training Web Information Extraction in a Social Network
skos:notation
RIV/00216208:11320/13:10139474!RIV14-GA0-11320___
n15:predkladatel
n21:orjk%3A11320
n3:aktivita
n19:P
n3:aktivity
P(GAP202/10/0761)
n3:dodaniDat
n10:2014
n3:domaciTvurceVysledku
n7:3902188 n7:5412595 n7:9028773
n3:druhVysledku
n4:C
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
113086
n3:idVysledku
RIV/00216208:11320/13:10139474
n3:jazykVysledku
n20:eng
n3:klicovaSlova
Linked Open Data; Web content annotation; Web information extraction
n3:klicoveSlovo
n14:Linked%20Open%20Data n14:Web%20content%20annotation n14:Web%20information%20extraction
n3:kontrolniKodProRIV
[F9C4402830AC]
n3:mistoVydani
USA
n3:nazevEdiceCisloSvazku
Neuveden
n3:nazevZdroje
Cases On Open-Linked Data and Semantic Web Applications
n3:obor
n6:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetStranKnihy
348
n3:pocetTvurcuVysledku
5
n3:projekt
n17:GAP202%2F10%2F0761
n3:rokUplatneniVysledku
n10:2013
n3:tvurceVysledku
Lašek, Ivo Vojtáš, Peter Peška, Ladislav Nečaský, Martin Fišer, Dominik
s:numberOfPages
11
n22:doi
10.4018/978-1-4666-2827-4.ch002
n12:hasPublisher
IGI Global
n18:isbn
978-1-4666-2827-4
n13:organizacniJednotka
11320