Meta modeling is an effective approach to implement interoperability among distributed and heterogeneous information sources on Web. MMFI (Framework for Metamodel Interoperability)...
Abstract. Several options are available to relate agent logics to computational agent systems. Among others, one can try to find useful executable fragments of an agent logic or us...
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...