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pro vyhledávání: '"Crowe, Malcolm"'
Autor:
Crowe, Malcolm, Laux, Fritz
Publikováno v:
IARIA, 2024. ISBN: 978-1-68558-138-1
The International Standards Organization (ISO) is developing a new standard for Graph Query Language, with a particular focus on graph patterns with repeating paths. The Linked Database Benchmark Council (LDBC) has developed benchmarks to test propos
Externí odkaz:
http://arxiv.org/abs/2407.09566
Autor:
Crowe, Malcolm, Laux, Fritz
Publikováno v:
IARIA, 2024, ISBN: 978-1-68558-180-0
This paper reviews the changes for database technology represented by the current development of the draft international standard ISO 39075 (Database Languages - GQL), which seeks a unified specification for property graphs and knowledge graphs. This
Externí odkaz:
http://arxiv.org/abs/2407.05096
Autor:
Crowe, Malcolm, Laux, Fritz
Publikováno v:
IARIA, 2023, ISSN: 1942-2628
Recent standardization work for database languages has reflected the growing use of typed graph models (TGM) in application development. Such data models are frequently only used early in the design process, and not reflected directly in underlying p
Externí odkaz:
http://arxiv.org/abs/2407.06228
Autor:
Crowe, Malcolm, Laux, Fritz
Publikováno v:
DBKDA 2023 : The Fifteenth International Conference on Advances in Databases, Knowledge, and Data Applications
Recent work on database application development platforms has sought to include a declarative formulation of a conceptual data model in the application code, using annotations or attributes. Some recent work has used metadata to include the details o
Externí odkaz:
http://arxiv.org/abs/2303.12376
Autor:
Crowe, Malcolm, Laux, Fritz
Publikováno v:
International Journal On Advances in Software, volume 15, numbers 3 and 4, 2022
This paper reviews suggestions for changes to database technology coming from the work of many researchers, particularly those working with evolving big data. We discuss new approaches to remote data access and standards that better provide for durab
Externí odkaz:
http://arxiv.org/abs/2303.11748
Autor:
Crowe, Malcolm, Laux, Fritz
At DBKDA 2019, we demonstrated that StrongDBMS with simple but rigorous optimistic algorithms, provides better performance in situations of high concurrency than major commercial database management systems (DBMS). The demonstration was convincing bu
Externí odkaz:
http://arxiv.org/abs/2110.03028
Publikováno v:
DBKDA 2017, ISSN: 2308-4332, ISBN: 978-1-61208-558-6
Data Integration of heterogeneous data sources relies either on periodically transferring large amounts of data to a physical Data Warehouse or retrieving data from the sources on request only. The latter results in the creation of what is referred t
Externí odkaz:
http://arxiv.org/abs/2110.02026
Autor:
Laux, Fritz, Crowe, Malcolm
Schema and data integration have been a challenge for more than 40 years. While data warehouse technologies are quite a success story, there is still a lack of information integration methods, especially if the data sources are based on different dat
Externí odkaz:
http://arxiv.org/abs/2107.09592
Publikováno v:
In Information Sciences 20 February 2013 223:75-101
Publikováno v:
In Information Sciences 2012 187:72-92