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1996 Electronics Industry Environmental Roadmap - Civil and ...

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Information <strong>and</strong> Knowledge Systems<br />

gration systems, common user interfaces, or data mapping <strong>and</strong> mining technologies. Although<br />

data warehouses are generally operated <strong>and</strong> managed for the benefit of a single enterprise, there<br />

appears to be no technical reason why a multi-enterprise environmental data warehouse could not<br />

be established.<br />

In this case, companies wishing to form the (possibly virtual) warehouse collaboratively develop<br />

the architecture, identify the infrastructure in place to operate the warehouse, identify <strong>and</strong><br />

collaboratively assess tools available to support data transformation <strong>and</strong> integration, <strong>and</strong><br />

undertake a comprehensive training <strong>and</strong> implementation program. Once operational,<br />

environmental specialists could access the environmental data warehouse to support decision<br />

making associated with environmental issues.<br />

The data warehouse, or even the corporate databases of individual companies, can be integrated<br />

with a Web site through tools that are now emerging on the market. A common gateway<br />

interface (CGI) linked through an application program interface (API) to an internal database can<br />

generate scripts that manage transaction processing even through a Web-initiated connection.<br />

Other approaches to integrating Web-based information models <strong>and</strong> other information<br />

technology models are emerging regularly.<br />

A number of advanced technologies are also emerging for data integration that can be integrated<br />

into the environmental information infrastructure:<br />

Data Mining: Data mining tools dispatch autonomous agents through targeted distributed<br />

databases <strong>and</strong> seek to identify common patterns or threads among the data. Data mining<br />

tools can identify patterns that previously may have been impossible to perceive given the<br />

fragmented nature of the data.<br />

Data Fusion: Data fusion is the art of blending, combining, filtering, comparing,<br />

selecting, <strong>and</strong> presenting the information into a usable medium. Imagine pulling<br />

information from disparate sources that include geopolitical data, chemical data, industry<br />

data <strong>and</strong> fusing it for more complex analyses.<br />

Data Consistency: Data consistency techniques search for anomalous data elements in an<br />

effort to improve the quality <strong>and</strong> reliability of data sets.<br />

Data Migration: Data migration techniques have been developed to automatically<br />

migrate data when an older database system is replaced by a newer one. These techniques<br />

are also adaptable to replicating data to optimize access times to data..<br />

MCC has proposed a project, referred to as the <strong>Environmental</strong> Information Mall, that offers an<br />

evolution of the Web site attributes described above, combining many of these advanced data<br />

management tools. The establishment of an “environmental mall” for the electronics industry<br />

takes information dissemination a step further—enabling communication <strong>and</strong> commerce among<br />

those who provide tools <strong>and</strong> technologies to support industrial <strong>and</strong> environmental processes <strong>and</strong><br />

the industrial end-users who require them.<br />

For example, a software company providing design for environment tools could offer a beta version<br />

of their tool through the environmental mall. Users could experiment with the tool, either<br />

on a free basis or on a limited cost basis, providing important feedback to the software<br />

45

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