Taxonomy is becoming so much more important in the digital age that entire enterprises may one day develop out of the need just to classify information. The many ways we have traditionally classified content has exponentially grown in the digital age to a size un-imagined and continually growing.
The Library of Congress and other libraries, large and small, have gone to using digital tools to classify and re-classify information about books, documents, texts and even multimedia content. The Internet was, of course, developed to help more easily share and organize documents and other content across a computer network. Now, here we are with the cloud and big data.
Where to begin?
The proportion of data-to-enterprise, or even data-to-individual, can become difficult or even unmanageable without the right tools or experience to guide you. As humans and consumers, we tend to expect that our options will be categorized into specific types based on the larger type. For instance, if we buy a computer, the choices are usually as follows: brand, device type, operating system, etc.
Then we get into Apple vs Dell, Desktop vs Tablet or BlackBerry vs Android. As Tech Target points out, there has not always been an immediate response to taxonomy from a content management perspective.
The more immediate platforms that come to mind are Google or Bing search engines, hashtags or networks on social media like Twitter and Facebook. These are the most recent consumer examples of classifying information in a multitude of ways using software. Enterprises of all industries, however, are becoming more dependent on systems to help them manage information to scale.
The time it takes members of an organization to find important or relevant information is productivity lost. It also adds to personnel frustration, even at management level.
Time to Give Industries Options for Information Management
Companies are responding to the needs of industry. Taxonomy, metadata, ontology, data virtualization and data governance are some of the key areas of need for many organizations dealing with vast amounts of data coming from customers, partners, legal or other channels.
Top Quadrant, who released a web-based taxonomy solution recently, is an example of how these enterprise needs are so far being addressed, according to KMWorld.
TopBraid, the software referenced, is able to help end users reference data with more easily accessible visual models of the data, laid out in a clean way.
Much more emphasis on visual representation of data is becoming an IT industry-wide way to tackle some of the problems associated with extrapolating and explaining complex data sets. Asian countries have had a great deal of success, in fact, in using visual models to teach mathematics and transition students into new topics easier, which Americans have had some difficulty with in many educational settings.
TopQuadrant is just one recent example. There are tools and software being developed in the market to deal with this exponentially growing challenge.
Taxonomy Time for Taxonomists
So what does a taxonomist do that can help arrange and set a standard for all of this enterprise information that we are dealing with in ever increasing amounts? Well, for one, taxonomists are tasked, not only with categorization of terms, but also governance and definition of those terms as well.
They often use a commercial software that is dedicated to this work, such as a dedicated thesaurus or taxonomy management application. Some of these can be developed internally as well, for the right organization, as long as it fits their particular needs.
Sometimes taxonomy management tools are part of another suite or software, in which taxonomy is a feature. In the case of Drupal, a website content management software tool to build and maintain websites, taxonomy is used to define or classify content, which can then be configured to display nodes, pages, etc. to the end user. Sometimes, other software can be used, such as spreadsheets or other types of software tools.
Lastly, open source software for taxonomy and ontology are becoming available for use as well.
The benefits to having a system or person that maintains taxonomy within the enterprise are several. One benefit is that information is organized, as I have already alluded to. Another is that this information can also be made easier to find for customers, personnel, vendors, supply partners, etc., which I have also discussed. One reason that we have not discussed is standardization.
This refers to terminology and jargon within your particular company. Every company can create a manual of terms, glossary, thesaurus, etc. But a taxonomist or someone working with taxonomy software can refine this process and create a standard that efficiently works across the company, so everyone is in compliance. It is kind of like having a style guide, but only for key terms of the business.
Compliance is another key benefit to all of this. Regulations need to be followed and adhered. There are other legal and regulatory impacts that information has and taxonomy, ontology and information management are a few ways to stay ahead of the mess. Information audits can be a great way to find holes in your system and develop ways to patch those holes for greater governance and compliance. All of this can save us time and money on our business operations in one way or another.
Techniques for Creating a Great Information Structure
Taxonomy and information management starts with a few basic techniques to help guide end users to information they have are trying to navigate to. The less time to navigate, the better.
Not only are terms important, but so are their relationships. Sometimes information can be found using one term or another, depending on the scenario. If you are looking for blue cars that are fast, you could search cars by color or by speed, as one example illustrates this point.
Standards should also weed out content that is irrelevant or invalid. Other types of information related to terms can be used in conjunction with taxonomy. There should be clear hierarchies of information within the enterprise as well.
All of this data should be able to be used with other tools like content management, indexing, search and others. It should always support ANSI/NISO Z39.19 or ISO 2788 thesaurus standards. Different classes of information may apply to sets or subsets even.
Make sure that any software you use will generate reports for you on analytics (of terms) and so forth. This is very important.
There are a variety of ontology and thesaurus options available. They are available in a multitude of platform formats. Here are a few: MultiTes Pro (Microsoft Windows), Cognatrix (Apple Mac OS X), One-2-One (Windows) and TheW32 (multi-platform). There don't appear to be many options for the mobile platforms yet (iOS, Android, BlackBerry and Windows Phone).
The information management problem in the world of big data seems pervasive, but there is a growing trend toward developing new ways of dealing with it. Now is the time to start looking at creating a plan to develop a system for dealing with taxonomy, oncology and information management to help your organization users to access data more quickly, efficiently and sensibly.
The more content builds up, the more the organization needs to change, adapt and most importantly, handle of the big data involved.