An approach focussed on resolving identity of
subjects in a photo using mobile device connectivity
and semantics is presented in this paper. Semantic
Web and mobile device sensors are combined to
provide meaningful photo annotation metadata that
can be used to recall photos from the Web. Useful
metadata can be gleaned from the environment at the
time of capture and inferred from previous metadata
tapped from existing sources.
- leave anything related to transport, communication to other layers- use this revised CEP to express and execute event-relevant logic, the purpose of which is to translate the ambient events into relevant business events- have these business events trigger business processes (however lightweight you want to make them)- have these business processes invoke decision services implemented through decision management to decide what they should be doing at every step- have the business processes invoke action services to execute the actions decided by the decision services- all the while generating business events or ambient events- etc.
A common task in many event processing systems is to detect patterns of events.
If combined, these patterns will eventually form a situation consisting of multiple patterns over time.
So basically a detected instance of a situation is a specific sequence of events.
// Set up the environment for creating the initial context Hashtable<String, Object> env = new Hashtable<String, Object>(); env.put(Context.INITIAL_CONTEXT_FACTORY, "com.sun.jndi.ldap.LdapCtxFactory"); env.put(Context.PROVIDER_URL, "ldap://localhost:389/o=JNDITutorial"); // Authenticate as S. User and password "mysecret" env.put(Context.SECURITY_AUTHENTICATION, "simple"); env.put(Context.SECURITY_PRINCIPAL, "cn=S. User, ou=NewHires, o=JNDITutorial"); env.put(Context.SECURITY_CREDENTIALS, "mysecret"); // Create the initial context DirContext ctx = new InitialDirContext(env); // ... do something useful with ctx