Data stream is a newly emerging data model for applications like environment monitoring, Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of d...
Semantic similarity measurement is a key methodology in various domains ranging from cognitive science to geographic information retrieval on the Web. Meaningful notions of similar...
It is crucial to study basic principles that support adaptive and scalable retrieval functions in large networked environments such as the Web, where information is distributed am...
Legal codes, such as the Uniform Commercial Code (UCC) examined in this article, are good points of entry for AI and ontology work because of their more straightforward adaptabili...
Keyword searching while very successful in narrowing down the contents of the Web to the pertaining subset of information, has two primary drawbacks. First, the accuracy of the se...