Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Wouter Beek"'
Publikováno v:
IEEE Access, Vol 8, Pp 70822-70835 (2020)
Linked Data is an innovative approach for publishing heterogeneous data sources on the web. As such, it can transcend the traditional confines of separate databases, as well as the confines of separate institutions. At the same time, businesses and g
Externí odkaz:
https://doaj.org/article/51f96b87fedd4de1b76cd1841e537f50
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 1, p 51 (2022)
Kadaster, the Dutch National Land Registry and Mapping Agency, has been actively publishing their base registries as linked (open) spatial data for several years. To date, a number of these base registers as well as a number of external datasets have
Externí odkaz:
https://doaj.org/article/fa20c1084fdf450a955d3c5627e32a85
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 12, p 753 (2020)
The field of geographic information science has grown exponentially over the last few decades and, particularly within the context of the pervasiveness of the internet, bears witness to a rapid transition of its associated technologies from stand-alo
Externí odkaz:
https://doaj.org/article/9f41482299784db19957fee70a39d975
Autor:
Stanislav Ronzhin, Erwin Folmer, Pano Maria, Marco Brattinga, Wouter Beek, Rob Lemmens, Rein van’t Veer
Publikováno v:
Information, Vol 10, Iss 10, p 310 (2019)
After more than a decade, the supply-driven approach to publishing public (open) data has resulted in an ever-growing number of data silos. Hundreds of thousands of datasets have been catalogued and can be accessed at data portals at different admini
Externí odkaz:
https://doaj.org/article/95595521ebae4615a89d999342d90b90
Publikováno v:
Data Intelligence, 2(3), 323-352
Data Intelligence, Vol 2, Iss 3, Pp 323-352 (2020)
Raad, J, Beek, W, van Harmelen, F, Wielemaker, J, Pernelle, N & Saïs, F 2020, ' Constructing and cleaning identity graphs in the lod cloud ', Data Intelligence, vol. 2, no. 3, pp. 323-352 . https://doi.org/10.1162/dint_a_00057
Data Intelligence, 2(3), 323-352. China National Publications Import and Export (Group) Corporation
International Journal of Big Data Intelligence
International Journal of Big Data Intelligence, Inderscience Publishers, 2020, 2 (3), pp.323-352. ⟨10.1162/dint_a_00057⟩
Data Intelligence, Vol 2, Iss 3, Pp 323-352 (2020)
Raad, J, Beek, W, van Harmelen, F, Wielemaker, J, Pernelle, N & Saïs, F 2020, ' Constructing and cleaning identity graphs in the lod cloud ', Data Intelligence, vol. 2, no. 3, pp. 323-352 . https://doi.org/10.1162/dint_a_00057
Data Intelligence, 2(3), 323-352. China National Publications Import and Export (Group) Corporation
International Journal of Big Data Intelligence
International Journal of Big Data Intelligence, Inderscience Publishers, 2020, 2 (3), pp.323-352. ⟨10.1162/dint_a_00057⟩
International audience; In the absence of a central naming authority on the Semantic Web, it is common for different data sets to refer to the same thing by different names. Whenever multiple names are used to denote the same thing, owl:sameAs statem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34200758eb2cf7757eaf34b6a5c47019
https://ir.cwi.nl/pub/30875
https://ir.cwi.nl/pub/30875
Publikováno v:
Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021), 18-25
STARTPAGE=18;ENDPAGE=25;TITLE=Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021)
ISPRS international journal of geo-information, 11(1):51. MDPI
ISPRS International Journal of Geo-Information, Vol 11, Iss 51, p 51 (2022)
STARTPAGE=18;ENDPAGE=25;TITLE=Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021)
ISPRS international journal of geo-information, 11(1):51. MDPI
ISPRS International Journal of Geo-Information, Vol 11, Iss 51, p 51 (2022)
Kadaster, the Dutch National Land Registry and Mapping Agency, has been actively publishing their base registries as linked (open) spatial data for several years. To date, a number of these base registers as well as a number of external datasets have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d42a06286099d6ec33f626a844416812
https://doi.org/10.3390/ijgi11010051
https://doi.org/10.3390/ijgi11010051
Publikováno v:
IEEE Access, 8:9051837, 70822-70835. Institute of Electrical and Electronics Engineers Inc.
IEEE Access, 8:9051837, 70822-70835. IEEE
Folmer, E, Ronzhin, S, Van Hillegersberg, J, Beek, W & Lemmens, R 2020, ' Business rationale for linked data at governments : A case study at the netherlands' kadaster data platform ', IEEE Access, vol. 8, 9051837, pp. 70822-70835 . https://doi.org/10.1109/ACCESS.2020.2984691
IEEE Access, 8:9051837, 70822-70835. IEEE
Folmer, E, Ronzhin, S, Van Hillegersberg, J, Beek, W & Lemmens, R 2020, ' Business rationale for linked data at governments : A case study at the netherlands' kadaster data platform ', IEEE Access, vol. 8, 9051837, pp. 70822-70835 . https://doi.org/10.1109/ACCESS.2020.2984691
Linked Data is an innovative approach for publishing heterogeneous data sources on the web. As such, it can transcend the traditional confines of separate databases, as well as the confines of separate institutions. At the same time, businesses and g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3544c960bb68d12a93acab56118da8e
https://research.vu.nl/en/publications/90178c57-93ee-47e8-9511-e78e88f3c780
https://research.vu.nl/en/publications/90178c57-93ee-47e8-9511-e78e88f3c780
Publikováno v:
Web Information Systems Engineering – WISE 2020 ISBN: 9783030620042
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::083c9692fa8e8e04f92dd02fb599da0f
https://doi.org/10.1007/978-3-030-62005-9_41
https://doi.org/10.1007/978-3-030-62005-9_41
Publikováno v:
Semantic Web – Interoperability, Usability, Applicability, 9(1), 131-150
Beek, W, Ilievski, F, Debattista, J, Schlobach, S & Wielemaker, J 2018, ' Literally better: Analyzing and improving the quality of literals ', Semantic Web, vol. 9, no. 1, pp. 131-150 . https://doi.org/10.3233/SW-170288
Semantic Web, 9(1), 131-150. IOS Press
Beek, W, Ilievski, F, Debattista, J, Schlobach, S & Wielemaker, J 2018, ' Literally better: Analyzing and improving the quality of literals ', Semantic Web, vol. 9, no. 1, pp. 131-150 . https://doi.org/10.3233/SW-170288
Semantic Web, 9(1), 131-150. IOS Press
Quality is a complicated and multifarious topic in contemporary Linked Data research. The aspect of literal quality in particular has not yet been rigorously studied. Nevertheless, analyzing and improving the quality of literals is important since li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65a9734554441b237e12838fadc0284b
https://doi.org/10.3233/sw-170288
https://doi.org/10.3233/sw-170288
Publikováno v:
Beek, W, Rietveld, L, Ilievski, F & Schlobach, S 2017, LOD lab : Scalable linked data processing . in Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering-12th International Summer School 2016, Tutorial Lectures . vol. 9885 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9885 LNCS, Springer/Verlag, pp. 124-155, 12th International Summer School on Reasoning Web Summer School, RW 2016, Aberdeen, United Kingdom, 5/09/16 . https://doi.org/10.1007/978-3-319-49493-7_4
Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering-12th International Summer School 2016, Tutorial Lectures, 9885 LNCS, 124-155
Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering ISBN: 9783319494920
Reasoning Web
Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering-12th International Summer School 2016, Tutorial Lectures, 9885 LNCS, 124-155
Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering ISBN: 9783319494920
Reasoning Web
With tens if not hundreds of billions of logical statements, the Linked Open Data (LOD) is one of the biggest knowledge bases ever built. As such it is a gigantic source of information for applications in various domains, but also given its size an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f642905ca67b7d71b7dcbca3df47735
https://doi.org/10.1007/978-3-319-49493-7_4
https://doi.org/10.1007/978-3-319-49493-7_4