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Warehousing complex data from the Web
[article]
2017
arXiv
pre-print
We present in this paper a complex data warehousing methodology that exploits XML as a pivot language. ...
Our approach includes the integration of complex data in an ODS, under the form of XML documents; their dimensional modeling and storage in an XML data warehouse; and their analysis with combined OLAP ...
Jaroslav Pokorný, the editors, for inviting them to publish an article in this special issue. ...
arXiv:1701.00398v1
fatcat:64yhgypd4fdlrhy7gwobtljs7y
Innovative Approaches for efficiently Warehousing Complex Data from the Web
[article]
2017
arXiv
pre-print
Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. ...
data warehouses, (2) associating data mining to OLAP to allow elaborated analysis tasks for complex data and (3) schema evolution in complex data warehouses for personalized analyses. ...
In consequence, there has been a clear trend toward XML warehousing for a couple of years. In this trend, we propose to represent complex data from the Web as XML documents. ...
arXiv:1701.08643v1
fatcat:2u67xdmvsnfizieie2qtajfmze
Finding an application-appropriate model for XML data warehouses
2010
Information Systems
As OLAP and data warehousing evolve, more and more complex data is being used. ...
These proposals range from using XML data sources for regular warehouses to those using full XML warehousing solutions. ...
XML associated to data warehousing; 2) Storage issues for XML decisional data; and 3) Analysis restitution. ...
doi:10.1016/j.is.2009.12.002
fatcat:2qeuwx3cx5a5fjxttaobsx2bdy
Warehousing complex data from the web
2008
International Journal of Web Engineering and Technology
We present in this paper a complex data warehousing methodology that exploits eXtensible Markup Language (XML) as a pivot language. ...
Our approach includes the integration of complex data in an ODS, in the form of XML documents; their dimensional modelling and storage in an XML data warehouse; and their analysis with combined OLAP and ...
Jaroslav Pokorný, the editors, for inviting them to publish an article in this special issue. ...
doi:10.1504/ijwet.2008.019942
fatcat:ikqrnhgh7jflrjgne5dsa4tgu4
Impacts of climate change in monetary terms? Issues for developing countries
2002
International Journal of Global Environmental Issues
We present in this paper a complex data warehousing methodology that exploits eXtensible Markup Language (XML) as a pivot language. ...
Our approach includes the integration of complex data in an ODS, in the form of XML documents; their dimensional modelling and storage in an XML data warehouse; and their analysis with combined OLAP and ...
Jaroslav Pokorný, the editors, for inviting them to publish an article in this special issue. ...
doi:10.1504/ijgenvi.2002.002401
fatcat:e2uikuijxzh4dkq7ktkzavq3qu
Integration and dimensional modeling approaches for complex data warehousing
2006
Journal of Global Optimization
Complex data are then stored in XML documents generated by a piece of software we designed. The second important phase we address is the preparation of data for dimensional modeling. ...
In our approach, we adapt the three main phases of the data warehousing process to complex data. In this paper, we particularly focus on two main steps in complex data warehousing. ...
In this paper, we propose an original approach for complex data warehousing. ...
doi:10.1007/s10898-006-9064-6
fatcat:3j7a775airddbdnbym2wrkrsky
Report on the 5th international workshop on the design and management of data warehouses (DMDW'03)
2003
SIGMOD record
The architecture of the system is discussed in the paper, with particular interest in (a) a "shared data area", which is an in-memory area for data transformations, with a specialized area for rapid access ...
for example, XML, grid computing and spatial data warehouses. ...
doi:10.1145/959060.959083
fatcat:y73gfura2ngedjc7xbayu4e3ra
Building a Data Warehouse for Twitter Stream Exploration
2012
2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
In this work we describe the process of transforming the original stream into a set of related multidimensional cubes and demonstrate how the resulting data warehouse can be used for solving a variety ...
We employ the well established data warehousing technology with its underlying multidimensional data model, ETL routine for loading and consolidating data from different sources, OLAP functionality for ...
Even though the above model is not tailored towards OLAP, the offered data perspective can be adapted for multidimensional aggregation. ...
doi:10.1109/asonam.2012.230
dblp:conf/asunam/RehmanMWS12
fatcat:3phon3joinbjjdpdeev5i5l6ne
Modeling views in the layered view model for XML using UML
2006
International Journal of Web Information Systems
Thirdly, we define a view transformation methodology for XML views in the LVM, which carries out automated transformation to a view schema and a view query expression in an appropriate query language. ...
for XML, at varying levels of abstraction. interests are distributed object-oriented database management system, knowledge-based information systems, data mining and its applications, data warehousing ...
XML) models, for the structured data, data storage, retrieval and manipulation have evolved to provide performance and ROI that is acceptable to industry and enterprise standards. ...
doi:10.1108/17440080680000105
fatcat:nholncar6nfvthmeyebi7pysl4
Discovering OLAP dimensions in semi-structured data
2012
Proceedings of the fifteenth international workshop on Data warehousing and OLAP - DOLAP '12
Transforming the input into a set of measures distributed along a set of uniformly structured dimensions may be unrealistic for applications dealing with semi-structured data. ...
Knowledge discovery techniques coupled with human expertise enable structural enrichment of the original data beyond the scope of the existing methods for obtaining multidimensional models from relational ...
Various solutions have been proposed in theory and practice for warehousing and analyzing heterogeneous data volumes. ...
doi:10.1145/2390045.2390048
dblp:conf/dolap/MansmannRWS12
fatcat:vewta2bz2zahzkapuejgg3tsbq
Managing Metadata in Data Warehouses: Pitfalls and Possibilities
2004
Communications of the Association for Information Systems
Leading data warehousing software vendors now offer metadata solutions embedded within their products and other vendors offer dedicated software packages for metadata management. ...
Managing metadata is essential for managing and maintaining the data warehouse. ...
&
Constraints
Between source Data elements
Transformation
Rules
Metadata on
ETL Modules
Warehouse
Data
Elements
Source Data
Objects
Intermediate
Data
Elements
User preferences & ...
doi:10.17705/1cais.01413
fatcat:ws2bovqztrehzh3zhw44c2nuay
A Practitioner's Guide to Data Management and Data Integration in Bioinformatics
[chapter]
2003
Bioinformatics
the schema management section; and Bill Swope for help on data warehousing. ...
Thanks also to Carole Goble and Robert Stevens of the University of Manchester for kindly providing materials on the TAMBIS project; Howard Ho and the IBM Clio team for their generous contributions to ...
The transformations generated would be specified in the XML query language (XQuery) or Extensible Stylesheet Language Transformations (XSLT) for XML data, and SQL for relational data. ...
doi:10.1016/b978-155860829-0/50005-x
fatcat:isuajgde6bhohiwt2a43zphv2q
The Conceptual Integration Modeling Framework: Abstracting from the Multidimensional Model
[article]
2010
arXiv
pre-print
This paper proposes a top-down framework in which data warehousing is driven by a conceptual model. The framework offers both design time and run time environments. ...
Data warehouses are overwhelmingly built through a bottom-up process, which starts with the identification of sources, continues with the extraction and transformation of data from these sources, and then ...
We thank Daniele Barone for his insightful comments on the manuscript. ...
arXiv:1009.0255v1
fatcat:f2upz76qyjf6vdvwl2v3im2y64
Discovering OLAP dimensions in semi-structured data
2014
Information Systems
Transforming the input into a set of measures distributed along a set of uniformly structured dimensions may be unrealistic for applications dealing with semi-structured data. ...
Knowledge discovery techniques coupled with human expertise enable structural enrichment of the original data beyond the scope of the existing methods for obtaining multidimensional models from relational ...
Various solutions have been proposed in theory and practice for warehousing and analyzing heterogeneous data volumes. ...
doi:10.1016/j.is.2013.09.002
fatcat:377h5bhyvvfg7j5j6cbgo7xh3a
the Change from Data Warehousing to Business Intelligence : The Concept of Data Sources ' Dynamicity
2020
المجلة العلمیة للدراسات التجاریة والبیئیة
The entire process of, filtering, extracting, transmitting, transforming, cleaning, and loading updates into the data warehousing system is called data warehouse refreshment.. ...
العدد عشر الحادي المجلد الثاني الجزء الثاني 0202 7217 As in distributed databases, in distributed data warehousing a new phase needs to be added to the design method: the one for designing ...
doi:10.21608/jces.2020.119559
fatcat:xsjdhl4tybgnla4ln2rneg4hqi
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