Knowledge representation for missing persons investigations

Goal Trajectories for Knowledge Investigations

Humans seek to gain knowledge and structure data by many means including both bottom-up and top-down methods. But in most instances, people have a specific purpose to their activity with data that drives the process. They often have particular questions that need answering in support of some broader investigation. These questions often change as answers point in various directions during an inv...

Logics for Knowledge Representation

Knowledge representation and reasoning plays a central role in Artificial Intelligence. Research in Artificial Intelligence (henceforth AI) started off by trying to identify the general mechanisms responsible for intelligent behavior. However, it quickly became obvious that general and powerful methods are not enough to get the desired result, namely, intelligent behavior. Almost all tasks a hu...

UML for Knowledge Representation

Temporal Knowledge Representation for

Clinical trial protocols include detailed temporal constraints on treatment and associated tasks. Unlike health-care guidelines, protocols are highly prescriptive. Therefore, informatics applications that enforce such temporal constraints are more directly useful with protocols than with guidelines. Although there are some temporal knowledge representation efforts for health-care guidelines, we...

Missing persons: African Americans in dental hygiene.

PURPOSE The purpose of this research was to study some of the reasons why African Americans are underrepresented in dental hygiene. The purpose was to 1) describe African American representation in dental hygiene and dental hygiene education; 2) evaluate the relationship between the percentage of hygienists and the percentage of African Americans by state; and 3) evaluate how the professional p...