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Organizational Development for Knowledge Management at Water ...

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But how far should we go in listing the aspects of w<strong>at</strong>er? Should we scour the world <strong>for</strong> every<br />

possibility and cre<strong>at</strong>e a note <strong>for</strong> all w<strong>at</strong>er rel<strong>at</strong>ed topics? As can be seen, issues quickly arise<br />

while defining a taxonomy and lead to hair-splitting decision about wh<strong>at</strong> nodes should be<br />

included and which are subordin<strong>at</strong>e to others. As a consequence, taxonomies grow in size and<br />

complexity as they <strong>at</strong>tempt to cover all the important topics in a field or organiz<strong>at</strong>ion.<br />

As an example, a portion of the physics taxonomy from the American Institute of Physics<br />

below shows the extreme detail of the nodes. Note th<strong>at</strong> while an accountant might have<br />

difficulty understanding wh<strong>at</strong> these topics represent, <strong>for</strong> a physicist or an engineer they are still<br />

broad definitions since there are many sub-specialties under each topic.<br />

80. INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND<br />

TECHNOLOGY<br />

81. M<strong>at</strong>erials science<br />

81.05.t Specific m<strong>at</strong>erials: fabric<strong>at</strong>ion, tre<strong>at</strong>ment, testing and analysis<br />

Superconducting m<strong>at</strong>erials, see 74.70 and 74.72<br />

Magnetic m<strong>at</strong>erials, see 75.50<br />

Optical m<strong>at</strong>erials, see 42.70<br />

Dielectric, piezoelectric, and ferroelectric m<strong>at</strong>erials, see 77.80<br />

Colloids, gels, and emulsions, see 82.70.D, G, K respectively<br />

Biological m<strong>at</strong>erials, see 87.14<br />

81.05.Bx Metals, semimetals, and alloys<br />

The challenge th<strong>at</strong> comes along with KM is effective management, and th<strong>at</strong> means<br />

organizing a large amount of rel<strong>at</strong>ed but disjointed in<strong>for</strong>m<strong>at</strong>ion into something th<strong>at</strong> is useful,<br />

accur<strong>at</strong>e and trustworthy. The TECHi2 paper Organizing <strong>Knowledge</strong> with Ontologies and<br />

Taxonomies talks about ontologies and taxonomies in plain language. In the author’s words,<br />

you begin by defining a structure to organize in<strong>for</strong>m<strong>at</strong>ion into c<strong>at</strong>egories of main concepts, and<br />

then by terms to group like items. The concepts are defined in an ontology th<strong>at</strong> maps the main<br />

ideas and their rel<strong>at</strong>ionships. Once this conceptual map is made, a set of terms must be<br />

cre<strong>at</strong>ed th<strong>at</strong> defines how to label items according to the concepts described in the conceptual<br />

map. This structure stet of terms is a taxonomy. This paper describes the basics and how to<br />

develop and implement them.<br />

In Case Example #16 (Virginia Department of Transport<strong>at</strong>ion), an integr<strong>at</strong>ed taxonomy<br />

development and d<strong>at</strong>a design was used to allow <strong>for</strong> consistent collection, indexing, and access<br />

of lessons learned across the agency.<br />

C-85<br />

©2011 W<strong>at</strong>er Research Found<strong>at</strong>ion. ALL RIGHTS RESERVED.

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