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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