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Computer Engineering Commons

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2001

Information retrieval

Faculty Publications

Articles 1 - 2 of 2

Full-Text Articles in Computer Engineering

Probability And Agents, Marco Valtorta, Michael N. Huhns Jan 2001

Probability And Agents, Marco Valtorta, Michael N. Huhns

Faculty Publications

To make sense of the information that agents gather from the Web, they need to reason about it. If the information is precise and correct, they can use engines such as theorem provers to reason logically and derive correct conclusions. Unfortunately, the information is often imprecise and uncertain, which means they will need a probabilistic approach. More than 150 years ago, George Boole presented the logic that bears his name. There is concern that classical logic is not sufficient to model how people do or should reason. Adopting a probabilistic approach in constructing software agents and multiagent systems simplifies some …


Consensus Ontologies: Reconciling The Semantics Of Web Pages And Agents, Larry M. Stevens, Michael N. Huhns Jan 2001

Consensus Ontologies: Reconciling The Semantics Of Web Pages And Agents, Larry M. Stevens, Michael N. Huhns

Faculty Publications

As you build a Web site, it is worthwhile asking, "Should I put my information where it belongs or where people are most likely to look for it?" Our recent research into improving searching through ontologies is providing some interesting results to answer this question. The techniques developed by our research bring organization to the information received and reconcile the semantics of each document. Our goal is to help users retrieve dynamically generated information that is tailored to their individual needs and preferences. We believe that it is easier for individuals or small groups to develop their own ontologies, regardless …