InfoSleuth is an agent-based system that can be configured to perform many different information management activities in a distributed environment. InfoSleuth TM agents provide a number of complex query services that require resolving ontology-based queries over dynamically changing, distributed, heterogeneous resources. These include distributed query processing, location-independent single-resource updates, event and information monitoring, statistical or inferential data analysis, and trend discovery in complex event streams. It has been used in numerous applications, including the Environmental Data Exchange Network and the Competitive Intelligence System.Keywords: Multi-agent systems, agent-based systems, information agents, heterogeneous data, query processing, information subscription. 3 Int. J. Coop. Info. Syst. 2000.09:3-27. Downloaded from www.worldscientific.com by NANYANG TECHNOLOGICAL UNIVERSITY on 08/22/15. For personal use only. 4 M. Nodine et al. Fig. 2. Layers of agents. Int. J. Coop. Info. Syst. 2000.09:3-27. Downloaded from www.worldscientific.com by NANYANG TECHNOLOGICAL UNIVERSITY on 08/22/15. For personal use only. 6 M. Nodine et al.
For natural language understanding systems designed for domains including relatively complex equipment, it is not sufficient to use general knowledge about this equipment. We show problems which can be solved only if the system has access to a detailed equipment model. We discuss features of such models, in particular, their ability to simulate the equipment's behavior. As an illustration, we describe a simulation model for an air compressor. Finally, we demonstrate how to find referents in ~is model for nominal compounds.
z: .this paper)the task of analyzing reprts regarding the'failure, diag asia and repair of equipment. ;% show that a general know ge of equipment ia ot sufficient for a full understanding of such reports. As an alternative, adescribe system-i PROTEUS)-which relies on a detailed simulation model to support language understanding. We describe the structure of the model and emphasize features specifically required for language understanding. We show. how this model can be used in analyzing and determining the referents for complex noun phrases. "We point out the importance of identifying the implicit temporal and causal relations in the text and show how the simulation capabilities of the model support this task. Finally, Z dc/, , how PROTEUS may be extended to facilitate the entry of new equipment models and to maist in'\ equipment diagnosis.
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