This thesis developed and applied tools to bridge the gap between available data and action for urban air quality management, focusing on strategies to reduce particle concentrations. One of the principal thesis contributions is a Bayesian method to exploit the…

Most knowledge representation languages are based on classes and taxonomic relationships between classes. Taxonomic hierarchies without defaults or exceptions are semantically equivalent to a collection of formulas in first order predicate calculus. Although designers of knowledge representation languages often express…

This paper reports work in progress on an experimental text editor called CREF, the Cross Referenced Editing Facility. CREF deals with chunks of text, called segments, which may have associated features such as keywords or various kinds of links to…

With the rapid increase in low-cost and sophisticated digital technology the need for techniques to authenticate digital material will become more urgent. In this paper we address the problem of authenticating digital signals assuming no explicit prior knowledge of the…

We consider the scheduling problem of minimizing the average weighted completion time of n jobs with release dates on a single machine. We first study two linear programming relaxations of the problem, one based on a time-indexed formulation, the other…

(cont.) which is expected, given their additional knowledge resources. The respondents' urgency in looking for the relevant knowledge is the primary explanation for this difference between the two networks. This difference in knowledge networking among the different groups did not…

This thesis examines the evolution of Internet based knowledge networks (e-knowledge networks) in the domain of sustainable development. The objective of this thesis is to use an engineering systems approach to understand knowledge networks, identify the barriers to their sustainability…

Knowledge networks have received a significant amount of attention in the past few decades as people look beyond corporate governance and resource-based approaches to uncover sources of competitive advantage. While this area of research is useful for organizations in general,…

If we are to understand how we can build machines capable of broad purpose learning and reasoning, we must first aim to build systems that can represent, acquire, and reason about the kinds of commonsense knowledge that we humans have…

(cont.) updates. It produces plan-ready information, by exploiting the self-serving and opportunistic pursuit of instant return-on-investment by frontline offices. Thanks to its emergent qualities, City Knowledge engenders unexpected plan-demanding situations, where the ability to conduct second-order analyses leads to deeper…