Knowledge Extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing. Although it is methodically similar to Information Extraction (NLP) and ETL (Data Warehouse), the main criteria is that the extraction result goes beyond the creation of structured information or the transformation into a relational schema. It requires either the reuse of existing formal knowledge (reusing identifiers or ontologies) or the generation of a schema based on the source data.
The RDB2RDF W3C group is currently standardizing a language for extraction of RDF from relational databases. Another popular example for Knowledge Extraction is the transformation of Wikipedia into structured data and also the mapping to existing knowledge (see DBpedia, Freebase and ).
Other articles related to "knowledge discovery, discovery, knowledge":
... Knowledge discovery "On the Grid" generally refers to conducting knowledge discovery in an open environment using grid computing concepts, allowing users to integrate ... The earliest example was the Discovery Net, developed at Imperial College London, which won the “Most Innovative Data-Intensive Application Award” at the ACM SC02 (Supercomputing 2002) conference ... at the University of Calabria, who developed a Knowledge Grid architecture for distributed knowledge discovery, based on grid computing ...
... Software mining is an application of knowledge discovery in the area of software modernization which involves understanding existing software artifacts ... Usually the knowledge obtained from existing software is presented in the form of models to which specific queries can be made when necessary ... is a frequent format of representing knowledge obtained from existing software ...
... International Workshop on Knowledge Discovery from Ubiquitous Data Streams held in conjunction with the 18th European Conference on Machine Learning (ECML) and the 11th European Conference on ... Fourth International Workshop on Knowledge Discovery from Data Streams (IWKDDS) to be held in conjunction with the 17th European Conference on Machine Learning (ECML) and the 10th ...
Famous quotes containing the words discovery and/or knowledge:
“The new supplants the old. Yet mens minds are stuffed with outworn bunk. Educating the young in the latest findings of authorities and scholars in the social sciences is important. It is equally important to devise ways and means for aiding the middle-aged and old to reexamine hang-over unscientific doctrines and ideas in the light of recent discovery and research.”
—Mary Barnett Gilson (1877?)
“A little knowledge that acts is worth infinitely more than much knowledge that is idle.”
—Kahlil Gibran (18831931)