This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...
Within the emergent Semantic Web framework, the use of traditional web search engines based on keywords provided by the users is not adequate anymore. Instead, new methods based o...
This paper presents a Domain Modeling System, which builds a domain model framework for adaptive Web systems. It records concepts and the relationships among them and represents t...
Swoogle is a crawler-based indexing and retrieval system for the Semantic Web documents – i.e., RDF or OWL documents. It analyzes the documents it discovered to compute useful m...
Li Ding, Timothy W. Finin, Anupam Joshi, Rong Pan,...