The DIKW Pyramid — also commonly known as the information or data pyramid — is a series of related models detailing the relationship between data, information, knowledge, and wisdom. The central observation shared through these models is that each level of the hierarchy is achieved by properly utilizing elements from the next lower level of the pyramid. In short, information is commonly talked about in terms of data, knowledge is commonly talked about in terms of information, and wisdom is achieved through properly utilized knowledge.
A second aspect of the DIKW pyramid involves the characterization of the constituent parts. Data is typified as simple signals or signs. On it’s own data does not mean anything. An example is a single letter or an individual binary value. Information is inferred from data and is differentiated in that it is “useful.” Descriptions of the world around us that utilize data are information. Knowledge — while harder to objectively pin down — is commonly thought of as the properly utilized information, or a mixture of experience, judgement, successful processes, and information. Wisdom is harder to pin down yet. And is often ignored in information science applications of the DIKW pyramid.
Diffbot’s offerings differ from many data extraction platforms through the fact that knowledge graphs synthesize data and information from many sources. Contextually-linked entities within the Knowledge Graph™are pushed through a knowledge fusion process that weighs competing claims for validity from sources across the public web. This is a primary difference between data extraction and knowledge-as-a-service providers.