Description Logic-Ground Knowledge Integration and Management
Abstract
This abstract describes ongoing work in developing large-scale knowledge repositories. The project addresses three primary as-pects of such systems: integration of knowledge sources; access and retrieval of stored knowledge; scalable, effective repositories. Previous results have shown the effectiveness of description logic-based representations in integrating knowledge sources and the role of non-standard inferences in supporting repository reasoning tasks. Current efforts include developing general-purpose mech-anisms for adapting reasoning algorithms for optimized inference under known domain structure and effective use of database tech-nology as a large-scale knowledge base backend. Knowledge Repositories Modern scientific and engineering efforts rely on large vol-umes of data and knowledge. It is therefore important to support such efforts with knowledge repositories, significant
Cite
Text
Kopena. "Description Logic-Ground Knowledge Integration and Management." AAAI Conference on Artificial Intelligence, 2005.Markdown
[Kopena. "Description Logic-Ground Knowledge Integration and Management." AAAI Conference on Artificial Intelligence, 2005.](https://mlanthology.org/aaai/2005/kopena2005aaai-description/)BibTeX
@inproceedings{kopena2005aaai-description,
title = {{Description Logic-Ground Knowledge Integration and Management}},
author = {Kopena, Joseph},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2005},
pages = {1612-1613},
url = {https://mlanthology.org/aaai/2005/kopena2005aaai-description/}
}