Fiber Optic Sensor fro Industrial Process Measurement and Control
Small Business Information
18010 Skypark Circle, Suite 100, Irvine, CA, 92614
AbstractNot Available We propose to develop an intelligent research assistant system for harvesting and display of knowledge from the World Wide Web. The proposed application, IRIA (Internet Research Intelligent Assistant), aids and automates a user's search for information by autonomously querying multiple knowledge resources, by organizing and presenting information as it is found, by modifying and extending the ongoing search based on unobtrusive inspection of user browsing, and by integrating data from research sessions into a knowledge base of relevant information resources. IRIA employs a human-like model of knowledge-base search, traversing a semantic map of available information resources in an autonomous and context-sensitive way. Innovative machine learning techniques are then applied to collate and analyze retrieved information for presentation to the user. The combination of these two techniques allows both fire and forget web search, in which the system collects and analyzes information offline, and incremental web search, in which user browsing of retrieved pages is used to automatically adjust the search in a context-sensitive way. The results of these searches and user responses are stored in the semantic map, both to improve the results of future queries and to provide a searchable directory to the information resources available.
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