Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Martin Nečaský"'
Publikováno v:
Knowledge and Information Systems. 64:3265-3291
Publikováno v:
Data Technologies and Applications. 56:506-535
PurposeSemantic retrieval and discovery of datasets published as open data remains a challenging task. The datasets inherently originate in the globally distributed web jungle, lacking the luxury of centralized database administration, database schem
Publikováno v:
The Semantic Web: ESWC 2022 Satellite Events ISBN: 9783031116087
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4d36b68d276ead5ab159a096ae3dd74
https://doi.org/10.1007/978-3-031-11609-4_10
https://doi.org/10.1007/978-3-031-11609-4_10
Autor:
Štěpán Stenchlák, Martin Nečaský
Publikováno v:
Journal of Web Semantics. 73:100713
Publikováno v:
Semantic Web. 10:665-720
Publikováno v:
Similarity Search and Applications ISBN: 9783030896560
SISAP
SISAP
Similarity queries play the crucial role in content-based retrieval. The similarity function itself is regarded as the function of relevance between a query object and objects from database; the most similar objects are understood as the most relevan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::004442a5c1d2c95a5ba8c6735cb33758
https://doi.org/10.1007/978-3-030-89657-7_9
https://doi.org/10.1007/978-3-030-89657-7_9
Publikováno v:
iiWAS
Many institutions publish datasets as Open Data in catalogs, however, their retrieval remains problematic issue due to the absence of dataset search benchmarking. We propose a framework for evaluating findability of datasets, regardless of retrieval
Publikováno v:
iiWAS
There is a vast amount of datasets available as Open Data on the Web. However, it is challenging for consumers to find datasets relevant to their goals. This is because the available metadata in catalogs is not descriptive enough. Nevertheless, datas
Autor:
Jakub Klímek, Petr Škoda, Martin Nečaský, Tomáš Knap, Peter Hanečák, Christian Mader, Bert Van Nuffelen
Publikováno v:
Semantic Web. 9:661-676
Publikováno v:
Journal of Web Semantics. 48:1-21
Linked Open Data (LOD) principles are known for a decade now and there are thousands of LOD datasets of variable quality and importance. They often come from academic research projects, which show how LOD can be published, how it can be useful, etc.