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Pregled bibliografske jedinice broj: 953730

Semantic Web Technologies and Big Data Warehousing


Ptiček, Marina; Vrdoljak, Boris
Semantic Web Technologies and Big Data Warehousing // Mipro 2018 Proceedings / Skala, Karolj (ur.).
Rijeka, 2018. str. 1214-1219 doi:10.23919/MIPRO.2018.8400220 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 953730 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Semantic Web Technologies and Big Data Warehousing

Autori
Ptiček, Marina ; Vrdoljak, Boris

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Mipro 2018 Proceedings / Skala, Karolj - Rijeka, 2018, 1214-1219

ISBN
978-953-233-097-7

Skup
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018)

Mjesto i datum
Opatija, Hrvatska, 21.05.2018. - 25.05.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data warehouse, NoSQL, big data, semantic integration, ontologies

Sažetak
Research in data science field has pointed out analytical potentials contained in big data on numerous occasions. The new paradigms in data storage and processing emerged with the goal of handling big data, but also pushing traditional, already present systems out of focus and creating a gap between the old and the new. That was also the case with traditional data warehouses and emergence of NoSQL data stores, whose integration has shown to be quite problematic due to NoSQL and big data features. Latest research has been trying to overcome this gap in various ways, mostly by system integration on various levels or introducing completely different new ones, but due to the data warehouse's particular nature and strict process of data modelling and acquisition, this problem must be approached on a conceptual level, capturing the essence of the domain which is to be analysed. The lack of schema in NoSQL databases makes them less comprehensible for integration and analysis, which motivated the idea of employing semantics to enrich NoSQL database contents, making them more suitable for integration. This paper analyses ways in which semantics could be applied as an asset in bringing together data warehouses, NoSQL databases, and big data.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marina Ptiček (autor)

Avatar Url Boris Vrdoljak (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Ptiček, Marina; Vrdoljak, Boris
Semantic Web Technologies and Big Data Warehousing // Mipro 2018 Proceedings / Skala, Karolj (ur.).
Rijeka, 2018. str. 1214-1219 doi:10.23919/MIPRO.2018.8400220 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ptiček, M. & Vrdoljak, B. (2018) Semantic Web Technologies and Big Data Warehousing. U: Skala, K. (ur.)Mipro 2018 Proceedings doi:10.23919/MIPRO.2018.8400220.
@article{article, author = {Pti\v{c}ek, Marina and Vrdoljak, Boris}, editor = {Skala, K.}, year = {2018}, pages = {1214-1219}, DOI = {10.23919/MIPRO.2018.8400220}, keywords = {data warehouse, NoSQL, big data, semantic integration, ontologies}, doi = {10.23919/MIPRO.2018.8400220}, isbn = {978-953-233-097-7}, title = {Semantic Web Technologies and Big Data Warehousing}, keyword = {data warehouse, NoSQL, big data, semantic integration, ontologies}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Pti\v{c}ek, Marina and Vrdoljak, Boris}, editor = {Skala, K.}, year = {2018}, pages = {1214-1219}, DOI = {10.23919/MIPRO.2018.8400220}, keywords = {data warehouse, NoSQL, big data, semantic integration, ontologies}, doi = {10.23919/MIPRO.2018.8400220}, isbn = {978-953-233-097-7}, title = {Semantic Web Technologies and Big Data Warehousing}, keyword = {data warehouse, NoSQL, big data, semantic integration, ontologies}, publisherplace = {Opatija, Hrvatska} }

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