Human-readable Knowledge Bases
Human-readable knowledge bases are designed to enable people to retrieve and use the knowledge they contain. They are commonly used to complement a help desk or for sharing information among employees within an organization. They might store troubleshooting information, articles, white papers, user manuals, knowledge tags, or answers to frequently asked questions. Typically, a search engine is used to locate information in the system, or users may browse through a classification scheme.
A text-based system that can include groups of documents with hyperlinks among them is known as a Hypertext System. Hypertext systems support the decision process by relieving the user of the significant effort it takes to relate and remember things." Wiki software can be used to provide a hypertext-system KB. Knowledge bases can exist on both computers and mobile phones in a hypertext format.
A human-readable knowledge base can be coupled with a machine-readable one, via uni- or bidirectional replication or some real-time interface. Computer programs can then use AI techniques on the computer-readable portion of data to provide better search results, check the integrity of facts found in different documents, and provide better authoring tools. An example is the machine-readable DBpedia extraction from human-readable Wikipedia.
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Famous quotes containing the words knowledge and/or bases:
“We live in an age of reproduction. Most of what makes up our personal picture of the world we have never seen with our own eyes—or rather we have seen it with our own eyes, but not on the spot: our knowledge comes to us from a distance, we are tele- viewers, tele-hearers, tele-knowers.”
—Max Frisch (1911–1991)
“In the beginning was the word, the word
That from the solid bases of the light
Abstracted all the letters of the void....”
—Dylan Thomas (1914–1953)