Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Tore Risch"'
Publikováno v:
Computing. 102:1139-1158
Multidimensional numeric arrays are often serialized to binary formats for efficient storage and processing. These representations can be stored as binary objects in existing relational database management systems. To minimize data transfer overhead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23d14678e66a9774296a40c42ed003e9
https://doi.org/10.1007/s00607-020-00804-x
https://doi.org/10.1007/s00607-020-00804-x
Autor:
Khalid Mahmood, Tore Risch
Publikováno v:
SMARTCOMP
Large-scale industrial internet of things (IIoT) applications usually access distributed equipment where high-volume sensor streams are processed. The building of scalable analytic queries and models over such streams could potentially enhance variou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4ae0241a11b58ebff0eb071d1f578eb
https://doi.org/10.1109/smartcomp52413.2021.00084
https://doi.org/10.1109/smartcomp52413.2021.00084
Publikováno v:
SMARTCOMP
Many business and mission-critical decisions of the Industrial Internet of Things (IIoT) depend on efficient data management of sensor streams. Contemporary distributed IIoT applications consist of large numbers of sensors, producing massive volumes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9ae4013678f53228f88145c0a5dee6f
https://doi.org/10.1109/smartcomp52413.2021.00034
https://doi.org/10.1109/smartcomp52413.2021.00034
Publikováno v:
IRI
With the advent of the Industrial Internet of Things (IIoT) and Industrial Analytics, numerous application scenarios emerge, where business and mission-critical decisions depend upon large scale analytics of sensor streams. However, very large volume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28577a51fe40c8b93ab92749f0c77111
https://doi.org/10.1109/iri49571.2020.00050
https://doi.org/10.1109/iri49571.2020.00050
Publikováno v:
SMARTCOMP
With the advent of cyber-physical systems, industrial internet of things (IIoT) and industrial analytics numerous application scenarios have emerged where business and mission-critical decisions depend upon large scale analysis of data in form of sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e696f2aece0b397f8f9f0d2d64f10a23
https://doi.org/10.1109/smartcomp.2019.00093
https://doi.org/10.1109/smartcomp.2019.00093
Publikováno v:
Journal of Intelligent Information Systems. 48:553-577
A stream validation system called SVALI is developed in order to continuously validate correct behavior of industrial equipment. A functional data model allows the user to define meta-data, analyses, and queries about the monitored equipment in terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c49765faee64af4cf7a3396d52f493b1
https://doi.org/10.1007/s10844-016-0427-2
https://doi.org/10.1007/s10844-016-0427-2
Autor:
Silvia Stefanova, Tore Risch
Publikováno v:
Semantic Web. 7:117-137
This Thesis addresses how Semantic Web representations, in particular RDF, can enable flexible and scalable preservation, recreation, and querying of databases.An approach has been developed for selective scalable long-term archival of relational dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9af2060dfb5b903361592c392590263b
https://doi.org/10.3233/sw-150173
https://doi.org/10.3233/sw-150173
Autor:
Tore Risch
Publikováno v:
Encyclopedia of Database Systems ISBN: 9781489979933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab354befbe85d10bdf7567af4765ca31
https://doi.org/10.1007/978-1-4614-8265-9_702
https://doi.org/10.1007/978-1-4614-8265-9_702
