What is the extraction of knowledge?

knowledge of knowledge is the process of using various sources of information to create a cohesive knowledge bank. In this approach, extraction will often be drawn from a number of structured and unstructured sources. When successful, knowledge extraction results in solid data that can be easily read and interpreted by the program, allowing the end user to use these formal knowledge for any purpose he wants.

Several different sources can be used in the process of knowledge extraction. Within the range of structured sources, data can be extracted from different types of relational databases or some type of expandable branded language or XML sources. Unstructured sources such as images, various forms of text processing, table processing and even text captured on block style programs can be used as part of the extraction process. If resources are readable for the program used to manage the knowledge of extprocess raction, they can be used as sources that extend PThe project's alertial, which is proceeded using extraction and allows the final knowledge to be applicable.

There are several common applications that occur with knowledge of knowledge. One common example is the ability to capture data from an unstructured source and integrate into a type of structured knowledge of knowledge. Another example of how this type of extraction can accelerate this type of extraction sharing formal knowledge, without having to manually enter data that is already available from any other source, is to extract data found in relational databases and use it to create new documents or use electronic documents. This reuse of existing knowledge in some new format is often very useful in a number of scenarios, allowing to use these knowledge that may not be possible for the existing source. In this way, the user can create sources that areFor ideal for many different applications rather than only for those relevant to the original home of formal knowledge.

When using data extraction, you can use a huge data warehouse, easily import and export data as a way of creating a new source that can be used for a specific purpose. These newly created sources will also find a place in the data warehouse and can eventually be used to create new extraction, which are used to meet newer use needs. In view of this, the extraction of knowledge can be perceived as a very useful tool that helps to use all resources at hand, which simplifies many tasks associated with sharing these formal knowledge.