Exposing extracted knowledge supporting answers
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Reference:
- Deborah L. McGuinness, Paulo Pinheiro da Silva, J. William Murdock, David A. Ferrucci. Exposing Extracted Knowledge Supporting Answers , Knowledge Systems, AI Laboratory, Stanford University (KSL-05-03), 2005
bibtex
@techreport { KSL-05-03 ,
author = "Deborah L. McGuinness, Paulo Pinheiro da Silva, J. William Murdock, David A. Ferrucci",
institution = "Knowledge Systems, AI Laboratory, Stanford University",
number = "KSL-05-03",
title = "Exposing Extracted Knowledge Supporting Answers",
year = "2005",
}
abstract: As more systems rely on knowledge bases built from automatic and semi-automatic methods, it is becoming more important to provide solutions that not only answer questions but also provide information describing how the answers were obtained. We aim to make answers more useful that rely on the combination of knowledge bases, some of which may have been built as the result of extraction processes and others may have been hand constructed from reliable sources. Our solution provides an infrastructure capable of encoding justifications for answers in a single format. This provides an end-to-end description of the knowledge derivation process including access to the raw text documents, descriptions of the text analytic processes used for extraction, as well descriptions of the ontologies and many kinds of information manipulation processes, including standard deduction. We have implemented our solution and we are using it in several sponsored projects.
download:
- paper: KSL-05-03.pdf
- slides:
| Abstract | As more systems rely on knowledge bases bu … As more systems rely on knowledge bases built from automatic and semi-automatic methods, it is becoming more important to provide solutions that not only answer questions but also provide information describing how the answers were obtained. We aim to make answers more useful that rely on the combination of knowledge bases, some of which may have been built as the result of extraction processes and others may have been hand constructed from reliable sources. Our solution provides an infrastructure capable of encoding justifications for answers in a single format. This provides an end-to-end description of the knowledge derivation process including access to the raw text documents, descriptions of the text analytic processes used for extraction, as well descriptions of the ontologies and many kinds of information manipulation processes, including standard deduction. We have implemented our solution and we are using it in several sponsored projects. re using it in several sponsored projects. |
| Address | Stanford, CA, USA + |
| Author | Deborah L. McGuinness +, Paulo Pinheiro da Silva +, J. William Murdock +, and David A. Ferrucci + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory, Stanford University + |
| Key | KSL-05-03 + |
| Number | KSL-05-03 + |
| Paper | KSL-05-03.pdf + |
| Tag | Computer science + |
| Title | Exposing Extracted Knowledge Supporting Answers + |
| Tr id | KSL-05-03 + |
| Year | 2005 + |
