Knowledge Discovery

Knowledge Discovery

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 ).

Read more about Knowledge Discovery:  Overview, Extraction From Natural Language Sources, Knowledge Discovery, Ontology Learning

Other articles related to "knowledge discovery, discovery, knowledge":

Data Mining - Notable Uses - Knowledge Grid
... 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
... 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 ...
Data Stream Mining - Events
... 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 ...

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