Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses

A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has been ignored. For example, "whether a total sales amount 1,000 items indicates a good or bad sales performance" is still unclear. From the decision makers' point of view, the semantics rather than raw numbers which convey the meaning of the data is very important. In this paper, we explore the use of fuzzy technology to provide this semantics for the summarizations and aggregates developed in data warehousing systems. A three layered data warehouse semantic model, consisting of quantitative (numerical) summarization, qualitative (categorical) summarization, and quantifier summarization, is proposed for capturing and explicating the semantics of warehoused data. Based on the model, several algebraic operators are defined. We also extend the SQL language to allow for flexible queries against such enhanced data warehouses

The Role of Maintenance and Facility Management in Logistics: A Literature Review

Purpose - The purpose of this paper is to provide a literature review on the different ways of carrying out Facility Management and related topics in order to uncover that there is limited research regarding the impact of Facility Management on the logistics and operational performance of warehouses. Design/methodology/approach - Four different focus areas have been identified and for each one different methodologies and streams of research have been studied. Findings - The study underlines the importance of Facility Management for the logistics operations; therefore it supports the notion that investments aiming at preserving the status of the building and service components of warehouses are crucial. Originality/value - This paper aims to suggest to Facility Management managers that they can contribute to enhance business performance by designing effective Facility Management strategie

Clustering-Based Materialized View Selection in Data Warehouses

Materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be cost-driven and influenced by the workload experienced by the system. In this paper, we propose a framework for materialized view selection that exploits a data mining technique (clustering), in order to determine clusters of similar queries. We also propose a view merging algorithm that builds a set of candidate views, as well as a greedy process for selecting a set of views to materialize. This selection is based on cost models that evaluate the cost of accessing data using views and the cost of storing these views. To validate our strategy, we executed a workload of decision-support queries on a test data warehouse, with and without using our strategy. Our experimental results demonstrate its efficiency, even when storage space is limited

Immigrant Entrepreneurs Creating Jobs and Strengthening the U.S. Economy in Growing Industries

The focus of this report evolved from a 2010 conference at Babson College on "Immigrant Entrepreneurship in Massachusetts" sponsored by The Immigrant Learning Center, Inc. (ILC) from which two key ideas emerged. One is that there is an "immigrant entrepreneurship ecology" that includes immigrant neighborhood storefront businesses; immigrant high-tech and health science entrepreneurs; immigrant non-tech growth businesses; and immigrant transnational businesses. A second idea was that these growing, non-tech industries (including transportation, food and building services) have not attracted much attention. Interestingly, these sectors can be crucial to the expansion of the green economy. Within this context, The ILC decided to look at these three sectors in Massachusetts as well as in New York and Pennsylvania.Moreover, the report dramatically illustrates how immigrant entrepreneurs look for niches in underserved markets. For example, vans and other alternatives to mass transit serve unmet transportation needs in urban areas. Food intended to be a "taste of home" for compatriots in local restaurants and grocery stores becomes popular and influences the eating habits of other Americans. Workers who enter industries like landscaping or cleaning because they don't require much English gain experience and see opportunities to start their own companies. Businesses like these add value to American life by expanding the economy rather than taking away from native businesses