Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Purpose – This paper aims to examine the current thoughts on knowledge management (KM) and to develop a metaphor to combine these thoughts in a new way that effectively conveys ...
Fingerprinting is a well known approach for identifying multimedia data without having the original data present but what amounts to its essence or "DNA". Current approa...
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...