Categorization

Categorization is the process through which ideas and objects are recognized, differentiated, classified, and understood.

Automatic categorization is technology designed to control the flood of unstructured, non-indexed, and unorganized digital content that threatens to swamp knowledge workers in corporations and government.

Auto-categorization software tools provide the means to categorize digital content according to predefined taxonomies, to extract concepts and entities for the development of taxonomies and to tag content with subject-related metadata tags.

Sep 02

On Granularity

By Bob Kasenchak Categorization, Taxonomy

In taxonomy, granularity refers to the number of terms describing a concept and its sub-concepts. This rubric can apply to an entire vocabulary or some subset. In short, the question...

Dec 23

It Is What It Is

By Ahren Lehnert Categorization, Ontology, Taxonomy

It Is What It Is As a taxonomist, when I hear the expression “it is what it is,” I’m tempted to define the subject (“it”) of this statement as categorically clear. It is what...

Sep 03

Creating Training Sets for Taxonomy-Based Auto-Categorization

By Ahren Lehnert Categorization, Text Analytics

What Are Training Sets? Text analytics and auto-categorization software doesn’t simply work out of the box. It requires attention and training. It is possible to install a taxonomy-based auto-categorizer and...

Aug 15

Naming the Edges, or: Why Knowledge Graphs? Part 1

By Bob Kasenchak Categorization, Knowledge Graphs, Knowledge Management

Taxonomy is easy. You have a list of concepts, terms and you put this under that. Often, even if not completely explicit, the reason for putting this “under” that is...

Mar 28

Concept Consensus

By Ahren Lehnert Categorization, Ontology

The Definition of Success Coming up with a definition for a term should be easy, right? If in doubt, consult a dictionary and the definition is available. In the age...

Feb 25

Getting Started with Text Analytics

By Ahren Lehnert Categorization, Ontology, Text Analytics

Getting Started Getting started in text analytics can be challenging. The amount of unstructured content in most organizations is overwhelming and usually poorly organized and understood. Attempting to analyze all...

Jan 22

The Content of Our Characters

By Ahren Lehnert Categorization, Text Analytics

Special Characters I grew up in central Michigan. When I moved to the Southeast, I learned the word “character” had a very special meaning when applied to people. Someone described...

Sep 27

Ethics & Bias in the Content Cycle

By Ahren Lehnert Categorization, Text Analytics

Bias in the Machine Let’s say you upload a photo of yourself and the software automatically tags your face as a gorilla. Your first reaction might be you find this...

Feb 01

Text Analytics Use Cases – The Knowns

By Ahren Lehnert Categorization, Text Analytics

The Knowns In my last blog, Exploring with Text Analytics, I discussed the knowns and unknowns which can be identified and explored through text analytics. In this blog, I’m going...

Mar 03

OASIS – Unlock your image content

By Jim Sweeney Categorization

OASIS from Synaptica is an exciting new way to unleash the information previously locked inside image content. OASIS stands for Open Annotation Semantic Imaging System. A vast amount of information…

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Categorization

On Granularity

It Is What It Is

Creating Training Sets for Taxonomy-Based Auto-Categorization

Naming the Edges, or: Why Knowledge Graphs? Part 1

Concept Consensus

Getting Started with Text Analytics

The Content of Our Characters

Ethics & Bias in the Content Cycle

Text Analytics Use Cases – The Knowns

OASIS – Unlock your image content

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