This paper presents a language, based on transaction logic, for specifying dynamic authorisation policies, i.e., rules governing actions that may depend on and update the authoris...
: The need for processing biological information is rapidly growing, owing to the masses of new information in digital form being produced at this time. Old methodologies for proce...
The stable semantics has become a prime candidate for knowledge representation and reasoning. The rules associated with propositional logic programs and the stable semantics are no...
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...