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Full-Text Articles in Computer Engineering
Buckets: Smart Objects For Digital Libraries, Michael L. Nelson
Buckets: Smart Objects For Digital Libraries, Michael L. Nelson
Computer Science Faculty Publications
Current discussion of digital libraries (DLs) is often dominated by the merits of the respective storage, search and retrieval functionality of archives, repositories, search engines, search interfaces and database systems. While these technologies are necessary for information management, the information content is more important than the systems used for its storage and retrieval. Digital information should have the same long-term survivability prospects as traditional hardcopy information and should be protected to the extent possible from evolving search engine technologies and vendor vagaries in database management systems. Information content and information retrieval systems should progress on independent paths and make limited …
Probability And Agents, Marco Valtorta, Michael N. Huhns
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
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 …