Data mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns using tools such as classification, association rule mining, clusteri
DBin is general purpose Semantic Web application that enables power users (domain experts) to create "discussion groups" where users annotate any subject of interest (from "beers" as in our example to anything really). At low level, these annotatins are e
How do you share a generally-understood reference, not to a web service, but to a calendar event on the service? How do you index it? Google indexes pages, not services. How, indeed do you bookmark it? Hidden data means no URLs...The Internet is driven by
Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At
The basis of RDF's strength as a knowledge-management tool is that it allows you to organize, interrelate, classify, and annotate this knowledge, thereby increasing the aggregate value of the stored data. RDF has a reputation for complexity that is belied
This Thinking XML column shows how to combine metadata collected from multiple XML source documents into a single Resource Description Framework (RDF) model for effective querying. In this follow-up to his previous installment that introduced how to use X
This column, the third in a series, shows how to add semantic knowledge to an RDF application by incorporating WordNet synonym sets. With the added knowledge of the WordNet lexical database, you can search a set of RDF data for related concepts, not just
Uche Ogbuji moves on to a discussion of a far more sophisticated RDF query language than the primitive API he has discussed thus far. This is the foundation for establishing the middleware for the Issue Tracker article in coming installments. So far, in