Names, meanings, context

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Over the past few posts, I have been using a literary example from Through the Looking Glass to discuss concepts associated with semantics and taxonomies, and I am going to adapt the example somewhat so that we can get a better handle on things. (By the way, that was a joke, since “handle” is a word sometimes used to refer to a thing’s name. ha ha.)

Let’s look at our naming and taxonomy using a different underlying object class:

  • There is a “thing” that is a VEHICLE, which is “CAR”
  • That VEHICLE has a VEHICLE_NAME, which is “FORD FIESTA”
  • That VEHICLE_NAME has a VEHICLE_NAME_CALLING, which is “JXX35671”
  • The VEHICLE has a VEHICLE_CALLING, which is “Loshin’s Car"

The base class is a “CAR,” and there is a derived class that is designated as its NAME (“FORD FIESTA”) yet remains a subclass of the base class. That specific thing has an additional means of reference, namely a license plate that is the VEHICLE_NAME_CALLING. Abstractly, at some point in time whatever car I drive is called “Loshin’s Car,” and at this specific time it is the “FORD FIESTA” that is CALLed “JXX35671”.

Of course, I am introducing my own implicit meanings and semantics by referring to ideas that we are already familiar with: I referred to a license plate number without saying it was a license plate number, and I relied on our knowledge of automobile manufacturers and model type for classification without telling you that I was going to do that. I also introduced a referencing scheme without explaining what that scheme meant.

Was that just a dirty trick? Not really, since we do this all the time when we neglect the proper attention to the reference data, classification models, and how those are adapted practically across multiple models in the organization.

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David Loshin

President, Knowledge Integrity, Inc.

David Loshin, president of Knowledge Integrity, Inc., is a recognized thought leader and expert consultant in the areas of data quality, master data management and business intelligence. David is a prolific author regarding data management best practices, via the expert channel at b-eye-network.com and numerous books, white papers, and web seminars on a variety of data management best practices. His book, Business Intelligence: The Savvy Manager’s Guide (June 2003) has been hailed as a resource allowing readers to “gain an understanding of business intelligence, business management disciplines, data warehousing and how all of the pieces work together.” His book, Master Data Management, has been endorsed by data management industry leaders, and his valuable MDM insights can be reviewed at mdmbook.com . David is also the author of The Practitioner’s Guide to Data Quality Improvement. He can be reached at loshin@knowledge-integrity.com.

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