Internet of Things (IoT) technologies can greatly benefit from machine-learning techniques
and artificial neural networks for data mining and vice versa. In the agricultural field, this …

Intelligent agents and semantic web services are two technologies with great potential.
Striking new applications can be developed by using the tools and techniques they provide …

The generation of new knowledge is continuous in biomedical domains, thus biomedical
literature is becoming harder to understand. Ontologies provide vocabulary standardization …

This paper presents a new approach to building legal citation classification systems. Our
approach is based on Ripple-down Rules (RDR), an efficient knowledge acquisition …

As new high-throughput technologies have created an explosion of biomedical literature,
there arises a pressing need for automatic information extraction from the literature bank. To …

This paper presents a framework that merges various advanced information technologies for
develo** electronic commerce (e-commerce) applications. The use of e-commerce utilities …

Vast amounts of medical information reside within text documents, so that the automatic
retrieval of such information would certainly be beneficial for clinical activities. The need for …

In this paper, multi-intelligent agent architecture has been proposed for automatic
knowledge extraction from its resources (domain experts and text documents). The extracted …

The Web has changed from a mere repository of information to a new platform for business
transactions where organizations deploy, share and expose business processes via Web …

This paper highlights the need to move from a method-driven approach to a knowledge-
driven approach to data mining. A number of issues are covered including the need to …