Current approaches to generation for machine translation make use of direct-replacement templates, large grammars, and knowledge-based inferencing techniques. Not only are rules language-specific, but they are too simplistic to handle sentences that exhibit more complex phenomena. Furthermore, these systems are…

This paper describes the connection memory, a machine for concurrently manipulating knowledge stored in semantic networks. We need the connection memory because conventional serial computers cannot move through such networks fast enough. The connection memory sidesteps the problem by providing…

This paper describes some problems and opportunities associated with conceptual modeling for the kind of "open systems" we foresee must and will be increasingly recognized as a central line of computer system development. Computer applications will be based on communication…

We report on a study of how people look for information within email, files, and the Web. When locating a document or searching for a specific answer, people relied on their contextual knowledge of their information target to help them…

by Shawn W. Ritchie., Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 1999., Includes bibliographical references (leaves 80-81).

This thesis focuses on the search for a more equitable urban environment. In Western Europe, the hope that cities are relevant forms of living and interacting, still exists. In Brussels, in the last fifteen years, the inhabitants formed a unique…

(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…