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Scalable transactions in Cloud Data Stores
2013
2013 3rd IEEE International Advance Computing Conference (IACC)
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Analytical and experimental results are observed and it shows that scalable workload-driven data partitioning outperforms the schema level and graph partitioning in terms of throughput, response time and ...
The development of novel, scalable workload-driven data partitioning is a requirement for improving scalability. ...
Scalable workload-driven partitioning technique works better than schema level and graph partitioning by demonstrating it on Amazon SimpleDB cloud data store. ...
doi:10.1109/iadcc.2013.6514205
fatcat:knxl66s3ergkdapavbzy4xsvjy
Scalable transactions in cloud data stores
2015
Journal of Cloud Computing: Advances, Systems and Applications
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Analytical and experimental results are observed and it shows that scalable workload-driven data partitioning outperforms the schema level and graph partitioning in terms of throughput, response time and ...
The development of novel, scalable workload-driven data partitioning is a requirement for improving scalability. ...
Scalable workload-driven partitioning technique works better than schema level and graph partitioning by demonstrating it on Amazon SimpleDB cloud data store. ...
doi:10.1186/s13677-015-0047-3
fatcat:wzpjyljmxrgq7gxbo6ry4xs2q4
Using GXL for exchanging business process models
2005
Information Systems and E-Business Management
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This is done by exchanging both, the instance graph, representing the data itself, and the schema, representing the graph structure. Business process models are usually depicted in a graph-like form. ...
The GXL Graph eXchange Language is an XML-based standard exchange language for sharing graph data between tools. GXL can be customized to exchange application specific types of graphs. ...
Fig. 3 3 GXL representation ofFigure 2
Fig. 4 4 Graph schema
Fig. 5 5 Graph schema represented as Graph
Fig. 6 6 GXL representation of schema graph inFigure 5(extract)
Fig. 8 8 GXL schema for event-driven ...
doi:10.1007/s10257-005-0027-0
fatcat:haa3pmovjvcjzexj3ksn6sypy4
Automatic validation of requirements to support multidimensional design
2010
Data & Knowledge Engineering
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As discussed in the literature [24, 36] , the ideal scenario for deriving the data warehouse conceptual schema would consist of a hybrid approach (i.e., a combination of data-driven and requirement-driven ...
Most current methods follow either a data-driven or requirement-driven paradigm and only a few use a hybrid approach. ...
As such, this method cannot handle denormalized schemas or requirements. • Phipps and Davis [28] proposed a supply-driven method that is validated a posteriori by a demand-driven stage. ...
doi:10.1016/j.datak.2010.03.006
fatcat:n77rttp2djbfzldc7bg34tf4em
A Survey of Multidimensional Modeling Methodologies
2009
International Journal of Data Warehousing and Mining
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XML schema can be represented as a graph. ...
Nowadays, it is assumed that the ideal scenario to derive the data warehouse conceptual schema would embrace a hybrid approach (i.e. a combined data-driven and requirement-driven approach). ...
doi:10.4018/jdwm.2009040101
fatcat:7jspq7faebczppdxlou6t6n3x4
A Conceptual Query-Driven Design Framework For Data Warehouse
2007
Zenodo
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Exploiting the nature of queries, in this paper we propose a query driven design framework. The proposed framework is general and allows a designer to generate a schema based on a set of queries. ...
Data warehouse is a dedicated database used for querying and reporting. Queries in this environment show special characteristics such as multidimensionality and aggregation. ...
As we mentioned earlier, the intermediate schema is a graph; so the derivation of the data warehouse schema is suggested as a graph reduction process. ...
doi:10.5281/zenodo.1083007
fatcat:d725zoob35drjlidnzowwmte4m
FrrbaseViz-A Tool for Exploring Freebase Using Query-DrivenVisualisation
2018
Figshare
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A tool for the interactive exploration of Freebase schema using query-driven visualisation.http://freebaseviz.apphb.com/Presented at ICCMIT Conference 2016.Summary:This paper presents a web-based visualisation ...
Furthermore, a graph database-oriented approach is embraced in an endeavour to boost the visualisation query-ability using graph-based query operations. ...
the schema graph connections. • In contrast, a considerable proportion of the schema Types seemed isolated with no connections in the schema graph. ...
doi:10.6084/m9.figshare.6890936
fatcat:2wftdrl3dnduji3ubmudi5e7cu
FrrbaseViz-A Tool for Exploring Freebase Using Query-DrivenVisualisation
2018
Figshare
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A tool for the interactive exploration of Freebase schema using query-driven visualisation.http://freebaseviz.apphb.com/Presented at ICCMIT Conference 2016.Summary:This paper presents a web-based visualisation ...
Furthermore, a graph database-oriented approach is embraced in an endeavour to boost the visualisation query-ability using graph-based query operations. ...
the schema graph connections. • In contrast, a considerable proportion of the schema Types seemed isolated with no connections in the schema graph. ...
doi:10.6084/m9.figshare.6890936.v1
fatcat:33fp4kw5azd3ndgou6mlpf6yfq
Dimension Enrichment with Factual Data During the Design of Multidimensional Models: Application to Bird Biodiversity
[chapter]
2015
Lecture Notes in Business Information Processing
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Therefore, in this paper we propose a new mixed refinement design methodology where the classical data-driven approach is enhanced with data mining to create new dimensions hierarchies. ...
However, when dealing with complex applications existing design methodologies seem inefficient since decision-makers define functional requirements that cannot be deduced from data sources (data driven ...
ACKNOWLEDGMENTS Data acquisition received financial support from the FEDER Loire, Etablissement Public Loire, DREAL de Bassin Centre, the Région Bourgogne (PARI, Projet Agrale 5) and the French Ministry ...
doi:10.1007/978-3-319-29133-8_14
fatcat:e7ma2eepuba4jmxotbefkeswum
Mixed Driven Refinement Design of Multidimensional Models based on Agglomerative Hierarchical Clustering
2015
Proceedings of the 17th International Conference on Enterprise Information Systems
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Therefore, in this paper we propose a new mixed refinement design methodology where the classical data-driven approach is enhanced with data mining to create new dimensions hierarchies. ...
However, when dealing with complex applications existing design methodologies seem inefficient since decision-makers define functional requirements that cannot be deduced from data sources (data driven ...
ACKNOWLEDGMENTS Data acquisition received financial support from the FEDER Loire, Etablissement Public Loire, DREAL de Bassin Centre, the Région Bourgogne (PARI, Projet Agrale 5) and the French Ministry ...
doi:10.5220/0005404605470555
dblp:conf/iceis/SautotBJF15
fatcat:uky2e3ub7zh7blhopvuoiyve5i
Merge of X-ETL and XCube towards a Standard Hybrid Method for Designing Data Warehouses
2019
International Journal of Advanced Computer Science and Applications
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This new method consists of two main steps: the first data driven step allows an analysis of the source models by using the X-ETL method and gives rise to star models. ...
The second requirements driven step performs a semantic analysis of the needs expressed in natural language by using the XCube Assist method. ...
-The second supply-driven step: conducts a comprehensive analysis of the ER diagrams of the data sources and produces graphs that can eventually give rise to star schemas. ...
doi:10.14569/ijacsa.2019.0101019
fatcat:rxy5bxmtvbdspbzbw6w4vche5e
Metadata schema and ontologies for FAIR research data in plasma technology
2020
Zenodo
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The findability (F), accessibility (A), interoperability (I), and re-usability (R) of research data are essential and acknowledged factors for an efficient re-use of data, e.g. for data driven science. ...
The developed tools and services are made available via a plasma technology knowledge graph and the data platform https://www.inptdat.de/. ...
Open interfaces for integration of the plasma knowledge graph into external services and tools, e.g. data bases, research data repositories, and electronic lab books Plasma Metadata Schema Components ...
doi:10.5281/zenodo.4091400
fatcat:fqbforoodnd7veihn654kfsu64
Multidimensional Design by Examples
[chapter]
2006
Lecture Notes in Computer Science
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If no multidimensional schema is generated for a query, we can state that requirement is not multidimensional. ...
In this paper we present a method to validate user multidimensional requirements expressed in terms of SQL queries. ...
Our aim is to label each node as a Cell (factual data) or a Level (dimensional data). A correct labeling of all the nodes gives rise to a multidimensional schema fitting the input query. ...
doi:10.1007/11823728_9
fatcat:73i4ds4kcvd7riueqw5wlno45u
Exploration of the Construction and Application of Knowledge Graph in Equipment Failure
2017
DEStech Transactions on Computer Science and Engineering
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Then the paper proposes a data-driven iterative automatic construction method of knowledge graph, and explores the intelligent application of fault knowledge graph, including template-based fault knowledge ...
Based on a large amount of engineering machinery fault data collected by Tianyuan Co., this paper provides its formal definition aiming at the fault knowledge graph. ...
This paper presents a data-driven iterative automatic construction process of knowledge graph. ...
doi:10.12783/dtcse/smce2017/12418
fatcat:ccpbr4gx65htta6ffo7d5mrj5i
Generating flexible workloads for graph databases
2016
Proceedings of the VLDB Endowment
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Graph data management tools are nowadays evolving at a great pace. ...
During the demonstration, we will showcase the highly tunable generation of graphs and queries through various user-defined schemas and targeted selectivities, and the variety of supported practical graph ...
In summary, our system is highly tunable, featuring: (i) schema-driven data and query generation, (ii) multiple practical graph query languages (SPARQL, open-Cypher, SQL, Datalog) including recursion among ...
doi:10.14778/3007263.3007283
fatcat:4jczksxxqzhlvpntg2phxvxcee
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