A Semantic Integration Framework for E-Business and Logistics Systems

Fu, Kui; Nie, Guihua; Chen, Donglin; Wang, Huimin

doi:10.1109/csse.2008.1045

Cited by 1 publication

(1 citation statement)

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“…The main drawback of this model is mapping, which can be solved by global knowledge module by analyzing data from all of the data centers. In another research work [23] flexible distributed web service interfaces for local query and a centralized semantic integration center has been proposed. EB lexicon and global business ontology are constructed to provide domain semantic knowledge to perform the integration.…”

Section: Local and Global Business Knowledge:-arkosmentioning

confidence: 99%

An integrated approach to deploy data warehouse in business intelligence environment

Ghosh

Haider

Sen

2015

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)

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Business Intelligence (BI) provides historical, current and predictive views of business operations with the help of some technologies, that include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. As analytics plays a major role in BI, OLAP is an integrated part of BI in modern day business application. Data warehouse is the most popular way to design and build OLAP. Data warehouse along with ETL and reporting tools provides an integrated environment for business processing. Business processing also demands decision making system and knowledge representation. Moreover the data sources are physically distributed in different locations. Hence modern day business environment is a complex architecture with a numbers of entities. In this paper authors present an integrated architecture to manage and design business intelligence environment by co-ordinating several associated entities to achieve business agility.

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Section: Local and Global Business Knowledge:-arkosmentioning

confidence: 99%