Sue Kase

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The big data era is witnessing a prevalent shift of data from homogeneous to heterogeneous, from isolated to linked. Exemplar outcomes of this shift are a wide range of graph data such as information, social, and knowledge graphs. The unique characteristics of graph data are challenging traditional search techniques like SQL and keyword search. Graph query(More)
Social media data are amenable to representation by directed graphs. A node represents an entity in the social network such as a person, organization, location, or event. A link between two nodes represents a relationship such as communication, participation, or financial support. When stored in a database, these graphs can be searched and analyzed for(More)
Expert networks are formed by a group of expert-profes\-sionals with different specialties to collaboratively resolve specific queries. In such networks, when a query reaches an expert who does not have sufficient expertise, this query needs to be routed to other experts for further processing until it is completely solved; therefore, query answering(More)
Measures of sentiment can help refine a Warfighter's knowledge and understanding of an unfamiliar operational environment, for example, the sentiment of civilians and insurgents to the Army, its operations, or its adversaries. In addition, observing changes in expressed sentiment about topics over time may provide baselines from which to detect if and when(More)
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