Tag Archives: pick-lists

facets hierarchies information-architecture intranets knowledge-management Knowledge-Organization-Systems metadata Papers Taxonomies

Knowledge Organization System for a Greeting Card Company’s Design Studio Archives

Academic Papers, Projects, , , , , ,

Note: this was a project for a graduate course in Knowledge Organization Systems

Introduction

The goal of this project is to create a Knowledge Organization System (KOS) for a Greeting Card Company Studio archive so that designers are able to find source artwork and previous designs. This is no small task–Greeting Card Company has been in operation for nearly 100 years and has at least partial archives from the entire period, and today the company employs hundreds of designers and produces thousands of products. There is no question that without an inclusive, accurate, and easy-to-use archive, designers are unable to build on each others ideas and a great deal of work is being duplicated. Also, intellectual property needs to be properly managed and licensed artwork needs to be tracked and protected from accidental misuse.

Currently, all archives are stored in protective containers in the Studio, shelved by year. In addition a vast number of digital files have been compiled on the Studio’s serves and CD and tape backups. This project does not address the physical process of collection and digitization, but instead offers a road map to how items will be classified as they are entered into the system. This KOS also provides a framework for the database and the ultimate user interface.

Below is an analysis of the users and groups, followed by a description of the overall structure of the KOS. After that is a description of each facet, followed by pick lists, synonym rings, and taxonomies for each where applicable.

 

Users

In this analysis three distinct user groups were identified: Archivists, Designers, and Management/Administration. Archivists include the companies current information professionals as well as the interns and temp workers who will be doing the digitization and data entry under their supervision. The KOS has been set up under the assumption that most data entry personnel will be able to properly classify perhaps 80 to 90 percent of all items within each facet, forwarding the rest to more skilled information professionals. The professionals include skilled librarians, art historians, and other researchers who should be adequately prepared to train data entry personnel and classify more difficult items.

The designer group includes artists and graphic designers of varying skill and experience. Nearly all, however, have completed at least a two-year program and the majority have completed a four-year college degree. Taxonomies were developed with this level of expertise in mind. Designers were surveyed and a wide range of thinking about art objects and designs were found. The facets below were designed to cover virtually every way in which a designer might want to look for a piece.

Management and administration also have specific needs. It is for them primarily that the Designer entity described below as well as most facets dealing with licensing and sales have been created.

 

Organization

The archive needs to be broken down into four different logical entities: Art Elements (such as clip art, photographs, sculptures, etc.), Products (such as individual greeting cards, e-cards, etc.), Digital Files, and Designers. Each entity will have a number of associated facets which roughly correspond to the fields in the database and will allow multiple methods of search and organization.

The entity relationships will be defined in the database so that searches will cascade upward. For example, some searching for art elements will be able to find those done by a specific AG department, because Art Elements are related to products which are related to Designers, who have the Department/Team facet. All of this is relatively simple to do with SQL and can be hidden in the interface to make searching easier.

Each facet has an associated type, whether that be a simple constraint on an open text field, a pick list, or a taxonomy. Where lists and taxonomies have been developed the list’s page number is noted as well.

View the KOS, including the entities and their facets, pick lists, and taxonomies [pdf]

Notes on “Creating a Controlled Vocabulary”

Academic Papers, , , ,

Creating a Controlled Vocabulary

 Fast, Karl, Fred Leise and Mike Steckel (2003)

 

This was a good rundown of the general process of creating a controlled vocabulary, but a lot of this seems pretty apparent to me. I guess I shouldn’t assume that this stuff is obvious, though, given how many companies make web sites or intranets without really bothering to find out how their users use vocabulary for their domain, or even establishing a vocabulary, for that matter.

The two most important points, to me, are number 5, “Establish a record of the rules you are using if you are creating a large thesaurus” and number 8, “Go back and refine. What can be improved?” In fact I think the whole notion of controlled vocabulary is misguided if there’s no clear rationale for it and attempts to update and maintain the terms at all times. Language in any field is constantly changing, and the pace of change is always accelerating. Anyone who was building a directory of Internet services would have left off the World Wide Web in 1989, and any list about self-publishing on the web would probably have left off the term “blog” in 1998. How useful would those pick lists be today?

Controlled vocabulary can be damaging if there’s no mechanism for change, or that mechanism is left unused. I don’t know why, but humanity seems to have some undying urge to compile things around ourselves into grand lists and hierarchies that are supposed to encompass all of what is or ever has been, ignoring our complete ignorance of what the future will bring. It’s not that classification in and of itself is bad, it’s that there’s a tendency to get to the “end” and say, “there, it’s done, and set in stone forever.”