The number of sentences chosen is relative to the size of the document, but will not exceed a maximum threshold. We have built a prototype MIDS to demonstrate our ideas and to evaluate and extend the system. Within the GDS classification knowledge base, we have defined a number of fixed taxonomies covering the areas of business, government, science, and education. Within the area of science, we have incorporated a subset of the ACM Computing Reviews Classification System. The list box presents the hierarchy of topics beginning with the selected root category.
Indentation is used to show a topic, sub-topic relationship.
The number to the right of each leaf topic is the number of documents assigned to that area. The score associated with each document in the list represents how similar the document is to the topical profile. Each cluster of documents is preceded by a list of the top discriminating terms, with the left-most terms being the highest discriminators. The summary includes a list of other topics assigned to the document as a result of the classification process, and an abstract of the document generated by processing it through the Brill tagger software. This paper describes ongoing work to build a resource discovery system that provides services for collecting, categorizing, organizing, and discovering information stored in a distributed environment.