793 Hits in 16.8 sec

Adding semantic modules to improve goal-oriented analysis of data warehouses using I-star

Alejandro Maté, Juan Trujillo, Xavier Franch
2014 Journal of Systems and Software  
The success rate of data warehouse (DW) development is improved by performing a requirements elicitation stage in which the users' needs are modeled.  ...  Among the goal-oriented approaches, the i* framework [4] , is currently one of the most widespread goal modeling frameworks.  ...  This work has been partially supported by the ProS-Req (TIN2010-19130-C02-01) and by the MESOLAP (TIN2010-14860) and SERENIDAD (PEII-11-0327-7035) projects from the Spanish Ministry of Education and the  ... 
doi:10.1016/j.jss.2013.10.011 fatcat:b3t2vqhhincjdcva2yemo7lh4m

Open Access Semantic Aware Business Intelligence [chapter]

Oscar Romero, Alberto Abelló
2014 Lecture Notes in Business Information Processing  
BI was born to support decision making within the organizations and the data warehouse, the most popular IT construct to support BI, has been typically nurtured with data either owned or accessible within  ...  Semantic-aware formalisms (such as RDF and ontology languages) have been successfully put in practice in approaches such as Linked Data, whereas movements like Open Data have stressed the need of a new  ...  Exploratory BI systems are goal-oriented (one may consider the analysis needs stated by the end-user as the system goals).  ... 
doi:10.1007/978-3-319-05461-2_4 fatcat:6zuy6jqqgzeehp5co3vxta4l7i

Software and Information Support for Business Analysis in Enterprise Management
Програмно-інформаційне забезпечення бізнес-аналізу в управлінні підприємством

Larysa Tytenko, University of the State Fiscal Service of Ukraine, Sviatoslav Bohdan, Olena Kliuchko, Viktoriia Tymoshenko, University of the State Fiscal Service of Ukraine, University of the State Fiscal Service of Ukraine, University of the State Fiscal Service of Ukraine
2020 Modern Economics  
Business Intelligence systems are a variety of tools and technologies for automating company-wide analysis and processing of data, including data warehouses, data marts, OLAP systems, knowledge discovery  ...  The main task of business analysis, as a type of professional activity, is to identify the problems of business and identify the need for changes in such forms and their content, to determine the goals  ...  Data modeling is mostly done by multidimensional modeling and presentation of results using star or snowflake schemes.  ... 
doi:10.31521/modecon.v20(2020)-42 fatcat:43qsuemb2nb3flefprwn7srsrq

Ontology-based structured web data warehouses for sustainable interoperability: requirement modeling, design methodology and tool

Khouri Selma, Boukhari Ilyès, Bellatreche Ladjel, Sardet Eric, Jean Stéphane, Baron Michael
2012 Computers in industry (Print)  
They may be used to improve communication between decision makers and users collaborating together, by specifying the semantics of the used concepts.  ...  and requirements (schematic and semantic) and (iii) it facilitates the sustainable urbanisation of the target data warehouse.  ...  From our analysis of various existing works suggested in goal-oriented litterature, we propose our Goal-oriented model to assist DW analysts and stakeholders in producing requirements specification of  ... 
doi:10.1016/j.compind.2012.08.001 fatcat:vhfa523ywfhtnljuwnkcueeid4

Business process management with the user requirements notation

Alireza Pourshahid, Daniel Amyot, Liam Peyton, Sepideh Ghanavati, Pengfei Chen, Michael Weiss, Alan J. Forster
2009 Electronic Commerce Research  
An example process for controlling access to a healthcare data warehouse is used to illustrate and evaluate the framework. Early results indicate the feasibility of the approach.  ...  A number of recent initiatives in both academia and industry have sought to achieve improvements in e-businesses through the utilization of Business Process Management (BPM) methodologies and tools.  ...  Data warehouse A data warehouse is described as a subject-oriented, integrated, time varying, non-volatile collection of data that is used primarily in organizational decision making [24] .  ... 
doi:10.1007/s10660-009-9039-z fatcat:njeqfbqak5d6xotj4mt54mgv2e

From conceptual models to schemata: An object-process-based data warehouse construction method

Dov Dori, Roman Feldman, Arnon Sturm
2008 Information Systems  
data warehouse schema.  ...  The suitability of current data warehouse modeling methods for large-scale systems is questionable, as they require multiple manual actions to discover measures and relevant dimensional entities and they  ...  Using this module we plan to continue the evaluation of the ODWC method on larger real life case studies and its subsequent improvement.  ... 
doi:10.1016/ fatcat:ird7wkvn6vhl7o3lo3kb73hyxy

Spatial Datawarehousing [chapter]

Alejandro A. Vaisman, Esteban Zimányi
2017 Encyclopedia of Database Systems  
Much of the interest and success in this area can be attributed to the need for software and tools to improve data management and analysis given the large amounts of information that are being accumulated  ...  Third, and closely related to the previous point, the data that needs to be stored in the warehouse is getting more and more complex in both structure and semantics while the analysis must keep up with  ...  Merging these two technologies allows us to exploit the capabilities of both systems for improving data analysis, visualization, and manipulation of huge amount of spatial data.  ... 
doi:10.1007/978-1-4899-7993-3_80810-1 fatcat:7yo63qvmhfadzn5vwn2x7bizku

A Data Cube Metamodel for Geographic Analysis Involving Heterogeneous Dimensions

Jean-Paul Kasprzyk, Guénaël Devillet
2021 ISPRS International Journal of Geo-Information  
In order to consider these three issues specific to geographic analysis, this research proposes an original data cube metamodel defined in unified modeling language (UML).  ...  analysis.  ...  Acknowledgments: We acknowledge Interreg France-Wallonie-Vlaanderen VISES, Concertes and Cress HDF for providing us the opportunity to work on this project as well as their valuable contribution to the  ... 
doi:10.3390/ijgi10020087 fatcat:fxqcduvxzzap3pjksyvre2usxu

Metrics for the Prediction of Evolution Impact in ETL Ecosystems: A Case Study

George Papastefanatos, Panos Vassiliadis, Alkis Simitsis, Yannis Vassiliou
2012 Journal on Data Semantics  
The Extract-Transform-Load (ETL) flows are essential for the success of a data warehouse and the business intelligence and decision support mechanisms that are attached to it.  ...  During both the ETL design phase and the entire ETL lifecycle, the ETL architect needs to design and improve an ETL design in a way that satisfies both performance and correctness guarantees and often,  ...  Acknowledgments We would like to thank the anonymous reviewers of a first version of this paper for their constructive comments that improved the clarity and completeness of the paper.  ... 
doi:10.1007/s13740-012-0006-9 fatcat:fbbvn53ehfb2dja3ny2iexhnru

Integrating Data Warehouses with Web Data: A Survey

J.M. Perez, R. Berlanga, M.J. Aramburu, T.B. Pedersen
2008 IEEE Transactions on Knowledge and Data Engineering  
It studies the XML technologies that are currently being used to integrate, store, query, and retrieve Web data and their application to DWs.  ...  This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data.  ...  to use external online semantically annotated data as dimensions or measures of the analysis cubes.  ... 
doi:10.1109/tkde.2007.190746 fatcat:drcxlccqqfaifcjuzbzspyzlpu

The Challenge of Process Data Warehousing

Matthias Jarke, Thomas List, Jörg Köller
2000 Very Large Data Bases Conference  
The problem of data reconciliation arises when data passes from the application-oriented environment to the Data Warehouse.  ...  The same formalism is used to specify the relations of the data warehouse in terms of the conceptual data warehouse model.  ... 
dblp:conf/vldb/JarkeKL00 fatcat:hx4tyoh54nc77o2uucuiy6xk5i

Dealing with slow-evolving fact

Chung-Min Chen, Munir Cochinwala, Elsa Yueh
1999 Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP - DOLAP '99  
In this paper, we report some interesting issues related to the design of the data warehouse.  ...  Specically, w e will discuss the issues of slow-evolving fact, transaction-oriented fact table, and large dimensions. We also propose the concept of virtual data cubes and show its usefulness.  ...  The extracted data are cleansed, integrated, and loaded into the data warehouse to facilitate multidimensional analysis and ad hoc queries.  ... 
doi:10.1145/319757.319783 dblp:conf/dolap/ChenCY99 fatcat:dnaobksjszhqdnobodmqhf7u6q

Integrating Web-based GIS and image processing tools for environmental monitoring and natural resource management

Ming-Hsiang Tsou
2004 Journal of Geographical Systems  
A prototype Web site, WGAT (Web-based GIS and Analytic Tools), has been developed to provide easy access of geospatial information and to facilitate Web-based image analysis and change detection capabilities  ...  This paper introduces an integrated Web-based GIS architecture by combining three levels of geographic information services (GIServices): data archive, information display, and spatial analysis.  ...  The next Java applet is called ''Image Overlay-II,'' and is an improved version of Image Overlay-I.  ... 
doi:10.1007/s10109-004-0131-6 fatcat:43n74dmrljff3jh4oxqwdycc74

Denormalisation : Towards Improved Performance

Manas Kumar Rath, Sunil Kumar Mishra
2012 Srusti Management Review  
Relational algebra and query trees are used to examine the effect on the performance of relational systems.  ...  We have suggested use of denormalization as an intermediate step between logical and physical modeling, to be used as an analytic procedure for the design of the applications requirements criteria.  ...  A denormalization process model As noted above, the primary goals of denormalization are to improve query performance and to present the enduser with a less complex and more user-oriented view of data.  ... 
doaj:f68b3d874edf45ba83fdd88b889240ca fatcat:tgyyyv42z5frlfwni5xjun2gfe

Adding Semantics to Business Intelligence: Towards a Smarter Generation of Analytical Tools [chapter]

Denilson Sell, Dhiogo Cardoso da Silva, Fernando Benedet, Mrcio Napoli, Jos Leomar
2012 Business Intelligence - Solution for Business Development  
Thus, other mechanisms and methods can be used to support the construction of the Knowledge Base module, in order to fulfill the goal of the Similarity Search Engine module.  ... Adding Semantics to Business Intelligence: Towards a Smarter Generation of Analytical Tools 35 SBI ontologies are used by the QueryManager to parse analytical tools and data requests  ...  leverages the strengths of business intelligence, decision management and service orientation, adding semantics to Business Intelligence, towards business intelligence over unified structured and unstructured  ... 
doi:10.5772/35572 fatcat:pcy3f2ymyjclrkwx2ficgosvri
« Previous Showing results 1 — 15 out of 793 results