Knowledge Management Software Key Terms

Some key terms for exploring knowledge management software and methodology

By J. Stoltzfus, writer/programmer LOCAL CITIZEN

The field known as knowledge management, or KM is somewhat abstract to many. Knowledge management is a study that seeks to combine the best powers of people and computers to reach new heights in data use and decision making. As the abilities of computers grow, knowledge management is growing into its own sector with its own software tools and common methodology. Find out about some key terms for KM to learn about this fascinating exploration of automated intelligence.

Artificial intelligence, or AI

Artificial intelligence is the study of how to get advanced data analysis from computers and other technology. AI has been advancing in leaps and bounds as creative programmers come up with ways to use technology to accentuate data and sometimes model "mental powers," or human thought.
Try: Get a definition and details on AI from this page at AlanTuring.net. See more on the link between artificial intelligence and KM at this page from SpringerLink.

Data synchronization, or data syncing

This aspect of technology often impacts KM software. Data Syncing is just getting two different sets of data together through some automated process.
Try: GS1 is a data synchronization company that helps trading partners stay on the same page.

Groupware

Lots of KM software is classified as "groupware." Groupware is software that lets multiple users work together. As the nature of software changes, groupware is becoming more common. There is certainly a demand for it, to facilitate greater cooperation between multiple users.
Try: See more on groupware from WiseGeek.

K-logging

K-logging is a kind of logging that complements a KM setup. Automated logging is a common resource built into KM software, and K-logging is becoming an accepted practice to boost the effectiveness of KM.
Try: See more on K-logging for KM at URLGreyHot.

Neural networks

The neural network represents one of the most ambitious technologies in KM. A neural network is defined as an artificial grouping of neurons that scientists try to use to create "knowledge," or mimic the activities of the human brain. KM often relies on neural networking and related technologies, at least conceptually, to advance.
Try: The Imperial College of London publishes an in-depth introduction to artificial neural networks.

Data model

Data modeling is another huge part of KM. Data modeling means constructing meaningful results from data, or using data in a way to get more insight or knowledge from it.
Try: See more on data models and related terms from Endorsed Education Providers.