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A linked-data vocabulary of grey literature document types: Version 1.0
Pejšová, Petra ; Mynarz, Jindřich ; Simandlová, Tereza
The first version of the vocabulary of the types of grey literature in RDF (Resource Description Framework) is based on an analysis of grey literature typologies and a draft version of vocabulary presented on GL12. The draft version of the vocabulary of the types of grey literature was reviewed by 14-member international working group appointed to this purpose. From January until July 6, 2011 42 comments and suggestions were accepted. Subsequently, they were incorporated by the NTK (National Technical Library) team. Changes mainly redefined some collections, some document types were merged and others excluded. The major changes concerned the following collections: monographs, informative materials, datasets and research plans. By our poster we would like to introduce the first version and discuss the possibility of using it by grey literature community. The vocabulary of the types of grey literature is publicly available on http://code.google.com/p/grey-literature-typology/ . The record includes also a poster, which was a part of presentation.
Plný text: idr-146_2 -  PDF; idr-146_3 - PDF
Prezentace: idr-146_1 - PDF
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Publishing the vocabulary of the types of grey literature as linked data
Mynarz, Jindřich ; Pejšová, Petra ; Simandlová, Tereza ; Labuda, Radim
The formulation of the vocabulary of the types of grey literature in RDF (Resource Description Framework) provides an explicit conceptualization of the domain of grey literature. This type of modelling harnesses the expressive power of ontology languages for RDF data format and its flexible and extensible nature. Formalized in this way, the vocabulary serves as a means to describe grey literature resources in a structured, machine-readable manner. Adopting linked data publishing model affords the re-use and light-weight integration of the vocabulary with other vocabularies via links. The vocabulary built in this way can re-purpose existing vocabularies and re-purpose their concepts by putting them in a new context. This may lead to tighter integration of grey literature within the Web and make it easier to be discovered.
Plný text: PDF
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Integration of an Automatic Indexing System within the Document Flow of a Grey Literature Repository
Mynarz, Jindrich ; Škuta, Ctibor
The Web empowered the authors of grey literature to publish their work on their own. In case of self-published works their author is also their indexer. And because not many of the grey literature authors are professional indexers, this may result in poor or no indexing. Even though the Web made publishing easier, indexing is still hard. Nevertheless, we believe that the web technologies and machine learning algorithms may help to reduce the cognitive overhead involved in indexing, and make it eventually as easy as publishing on the Web is.
Plný text:  MP4
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