Authors argue that text mining - for drawing relationships between disparate data from many sources - needs a "semantic infrastructure that focuses on information quality and decision support".
Key point (bolding added) : "The interpretation of text is just the first step in making the information usable. Another key part is then organizing the resulting “text pieces” into some form of usable network. This is addressed by building taxonomies and ontologies that can be navigated to explore specific topics of interest. Finally, the results must be output in a format that can be interpreted and lead to knowledge discovery."
It identifies three parts to a text-mining system: parsing the text into parts, tagging extracted information, and organizing the parts using taxonomies and ontologies.
No comments:
Post a Comment