Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ognjen Savkovic"'
Publikováno v:
Proceedings of the 11th International Joint Conference on Knowledge Graphs.
Autor:
Keith W. Hare, George H. L. Fletcher, Sławek Staworko, Michael Schmidt, Leonid Libkin, Jan Hidders, Stefania Dumbrava, Angela Bonifati, Victor E. Lee, Bei Li, Filip Murlak, Juan F. Sequeda, Wim Martens, Ognjen Savkovic, Dominik Tomaszuk, Renzo Angles, Josh Perryman
Publikováno v:
ACM Special Interest Group on Management of Data (SIGMOD)
ACM Special Interest Group on Management of Data (SIGMOD), Jun 2021, Xi'an, China. ⟨10.1145/3448016.3457561⟩
Angles, R, Bonifati, A, Dumbrava, S, Fletcher, G, Hare, K W, Hidders, J, Lee, V E, Li, B, Libkin, L, Martens, W, Murlak, F, Perryman, J, Savković, O, Schmidt, M, Sequeda, J, Staworko, S & Tomaszuk, D 2021, PG-Keys: Keys for Property Graphs . in Proceedings of the 2021 International Conference on Management of Data (SIGMOD ’21) . pp. 2423-2436, ACM SIGMOD/PODS International Conference on Management Data, Xi'an, China, 20/06/21 . https://doi.org/10.1145/3448016.3457561
SIGMOD Conference
ACM Special Interest Group on Management of Data (SIGMOD), Jun 2021, Xi'an, China. ⟨10.1145/3448016.3457561⟩
Angles, R, Bonifati, A, Dumbrava, S, Fletcher, G, Hare, K W, Hidders, J, Lee, V E, Li, B, Libkin, L, Martens, W, Murlak, F, Perryman, J, Savković, O, Schmidt, M, Sequeda, J, Staworko, S & Tomaszuk, D 2021, PG-Keys: Keys for Property Graphs . in Proceedings of the 2021 International Conference on Management of Data (SIGMOD ’21) . pp. 2423-2436, ACM SIGMOD/PODS International Conference on Management Data, Xi'an, China, 20/06/21 . https://doi.org/10.1145/3448016.3457561
SIGMOD Conference
International audience; We report on a community effort between industry and academia to shape the future of property graph constraints. The standardization for a property graph query language is currently underway through the ISO Graph Query Languag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df18458f47b9c9961f4b621a570b207f
https://inria.hal.science/hal-03189192/document
https://inria.hal.science/hal-03189192/document
Autor:
Gulnar Mehdi, Ognjen Savkovic, Evgeny Kharlamov, Mikhail Roshchin, Guohui Xiao, Elem Güzel Kalayci
Publikováno v:
Journal of Web Semantics. 56:11-29
An Industrial Internet of Things (IoT) is a network of intelligent industrial equipment such as trains and power generating turbines that collect and share large amounts of data. These data are either generated by various sensors deployed in the equi
Autor:
Mantas Simkus, Juan L. Reutter, Ognjen Savkovic, Julien Corman, Medina Andresel, Magdalena Ortiz
Publikováno v:
WWW
SHACL (SHape Constraint Language) is a W3C recommendation for validating graph-based data against a set of constraints (called shapes). Importantly, SHACL allows to define recursive shapes, i.e. a shape may refer to itself, directly of indirectly. Th
Publikováno v:
The Semantic Web ISBN: 9783030213473
ESWC
ESWC
Constraints have traditionally been used to ensure data quality. Recently, several constraint languages such as SHACL, as well as mechanisms for constraint validation, have been proposed for Knowledge Graphs (KGs). KGs are often enhanced with ontolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b95d2a96a84616953235db9eb9c86a89
https://doi.org/10.1007/978-3-030-21348-0_21
https://doi.org/10.1007/978-3-030-21348-0_21
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030307929
ISWC (1)
ISWC (1)
shacl (Shapes Constraint Language) is a specification for describing and validating RDF graphs that has recently become a W3C recommendation. While the language is gaining traction in the industry, algorithms for shacl constraint validation are still
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4197a1b5ed04e6ed20cb00dc9d269c18
https://doi.org/10.1007/978-3-030-30793-6_9
https://doi.org/10.1007/978-3-030-30793-6_9
Autor:
Ognjen Savkovic, Evgeny Kharlamov, Ian Horrocks, Arild Waaler, Steffen Lamparter, Guohui Xiao, Gulnar Mehdi
Publikováno v:
IEEE BigData
Analytical workflows are heavily used in large and data intensive companies. An important application of such workflows in Siemens is equipment analytics when equipment KPIs and reports are computed by aggregating equipment’s operational, master, a
Autor:
Mikhail Roshchin, Guohui Xiao, Ian Horrocks, Martin Ringsquandl, Elem Güzel Kalayc, Ognjen Savkovic, Werner Nutt, Thomas A. Runkler, Evgeny Kharlamov, Gulnar Mehdi
Publikováno v:
Inductive Logic Programming ISBN: 9783319999593
ILP
ILP
Industry today employs rule-based diagnostic systems to minimize the maintenance cost and downtime of equipment. Rules are typically used to process signals from sensors installed in equipment by filtering, aggregating, and combining sequences of tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9860d9af0b64da8fd9a6d37be9c94062
https://doi.org/10.1007/978-3-319-99960-9_4
https://doi.org/10.1007/978-3-319-99960-9_4
Autor:
Ian Horrocks, Ognjen Savkovic, Evgeny Kharlamov, Guohui Xiao, Martin Ringsquandl, Elem Güzel Kalayc, Gulnar Mehdi, Werner Nutt
Publikováno v:
Semantic Technology ISBN: 9783030042837
JIST
JIST
Smart factories are one of the biggest trends in modern manufacturing, also known as Industry 4.0. They reach a new level of process automation and make heavy use of sensors in manufactoring equipment, which brings new challenges to monitoring and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0125bbcbd6e9fd74d6a1c626b7b8d046
https://doi.org/10.1007/978-3-030-04284-4_19
https://doi.org/10.1007/978-3-030-04284-4_19
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030006709
ISWC (1)
ISWC (1)
With the popularity of RDF as an independent data model came the need for specifying constraints on RDF graphs, and for mechanisms to detect violations of such constraints. One of the most promising schema languages for RDF is SHACL, a recent W3C rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aab1148e3568332fe814717ab7d82fd
https://doi.org/10.1007/978-3-030-00671-6_19
https://doi.org/10.1007/978-3-030-00671-6_19