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Erik Eilerts

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2 papers

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AAAI Conference 1999 Conference Paper

Knowledge Base Discovery Tool*

Erik Eilerts
Kathleen Lossau
Christopher York
Austin Info Systems
Inc.

The Knowledge Base Discovery Tool (KBDT) is a suite of tools and components to improve the indexing of and search for documents. KBDT extracts and displays content from documents and builds knowledge indexes based on meaning, rather than keywords. KBDT uses the indexes to perform more intelligent searches. It also includes visualization technology to display relevant results using multi-media, rather than plain text. This paper describes prototypes of two tools in this suite that use components for searching, extraction, and display of requested information. The tools are the Knowledge Base Editor and the Intelligent Information Retrieval Engine.

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AAAI Conference 1994 Short Paper

The KM / KnEd System: An Integrated Approach to Building Large-Scale Multifunctional Knowledge Bases

Erik Eilerts

In 1987, Dr. Bruce Porter began work at the University of Texas at Austin on the Botany Knowledge Base Project. The goal of the project is to develop a largescale multi-functional knowledge base in the area of Botany. This Botany Knowledge Base (BKB) is used to support research projects in question answering, automated modeling, and intelligent tutoring. Due to the size and complexity of the BKB, a decision was made in 1990 to begin construction of a new knowledge representation language and interface to support the knowledge base. The knowledge representation language was named KM, for Knowledge Manager, and the interface was named KnEd, for Knowledge Editor. The KM/KnEd system is similar to Doug Lenat’s CYC project and Doug Skuce’s CODE4 system.

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